The Problem with Today’s Software Thought Leaders

Albert Einstein once said:  "What is right is not always popular and what is popular is not always right."   The current zeitgeist in software development has this exact same feel.  Our lives as software developers have been shaped by the ideas of many people.  Some of those ideas are right and some are popular.  In time the wrong ideas will fade and the right ideas will dominate.  The problem is: How do we make that determination in the present?  What are the good ideas and what are the bad ideas? 

As software developers our working days usually consist of two types of professional activities, one is obviously creating software (software development) or related technical tasks configuration management, troubleshooting, deployments, etc. and the other is being managed or other duties that relate to providing information (status) to managers (software development management).  The software industry is very young and constantly changing.  At any given moment there are dominant de facto standards that are followed for both software development and its management.  Although it varies across industry sectors, many development practices and tooling have become standards, things like IDE’s, continuous integration, the use of tests and testing frameworks, etc.  Some of these have been influenced by Agile and XP.   On the management side the standard seems to be largely dominated by Agile like scrum and associated practices from XP.

The people who dominate our industry with their ideas could be described as our thought leaders.   Wikipedia has the following definition for thought leader: 

A thought leader can refer to an individual or firm that is recognized as an authority in a specialized field and whose expertise is sought and often rewarded.

The creation of Agile was done in a ceremonious fashion, depicted in an odd ritualistic looking and now famous photograph, by signatories to a manifesto.   Let’s call these people the Agile Thought Leaders or just the Agilistas (since brevity is our thing).  The Agilistas have come to have their ideas dominate the industry and in many cases dictate how we now spend our days. 

It seems that Agile’s rise in popularity is directly proportional to my increasing skepticism about it.  I find myself internalizing that skepticism into frustration and even feelings of anger towards it and the Agilistas.  These feelings become exacerbated by the various incarnations of Agile created by legions of certified Agile consultants that roll into my life to tell me how to spend my days.

Now those feelings are not constructive and one really needs to step back and ask: Why is what I see in the industry wrong and how can I form and a constructive criticism of it? 

I was lucky to come across Greg Wilsons’s talk: "What We Actually Know About Software Development, and Why We Believe It's True".  This is a very enlightening talk which I highly recommend.  In it he looks objectively at how we have arrived where we are and how we can possibly better move forward.   I got the term Agilistas from his talk, although I don’t know if he coined it.

The talk touches on issues that I feel plague both my career and our industry. The problem manifests itself in how we make our decisions about what we do on projects both from the day to day and to the larger industry practices. Many of these decisions seem to be influenced all too often by people who claim some authority, sometimes it’s positional authority, sometimes it’s due to some form of gravitas and all too often right or wrong it boils down to someone’s opinion.  To better illustrate this about our thought leaders let's look at Greg Wilson’s critique of one of Martin Fowler’s publications about DSL’s (Domain Specific Languages).  The relevant quotes with time stamps are as follows:

11:26 [Martin Fowler] is a very deep and careful thinker about software and software design and last summer in IEEE Software he had an article on Domain Specific Languages, this notion that build a tiny language in which the solution to you original problem in easy to express. And in that he said using DSLs leads to improved programmer productivity and better communication with domain experts.

11:51 I want to show you what happened here. One of the smartest guys in our industry made two substantive claims of fact in an academic journal and there is not a single citation in the paper.  Not a single foot note or reference. There is no data to backup this claim. I am not saying that Martin is wrong in his claims. I am saying is what we have here is a Scottish verdict. Courts in Scotland are allowed to return one of three verdicts, guilty, innocent, or not proven.  Arguments in favor of DSLs, arguments in favor of functional programming languages making parallelism easier or Agile development leading to tenfold return on investment or whatever are unproven.  It doesn’t mean they are or wrong, it doesn’t mean they are right, it means that we don’t know and we should be humble enough to admit that.

12:38: Carrying on in that same article "Debate still continues about how valuable DSLs are in practice. I believe that debate is hampered because not enough people know how to develop DSLs effectively."   Crap I think the debate is hampered by low standards of proof.

12:55:  Listening computer scientists argue, listening to software engineers in industry argue, it seems that the accepted standard of proof is I’ve two beers and there’s this anecdote about a tribe in new guinea from one of Scott Berkin’s books that seems to be vaguely applicable therefore I’m right.  Well no, sorry that’s not proof and you should have higher standards than that.

I think these are excellent points. I disagree with Greg Wilson here and feel that Martin Fowler is not one of the smartest guys in our industry, although he maybe one of the most influential. I also question whether he can be considered a careful thinker.  I think his approach like many of the other Agilistas is self serving and shows very little humility or willingness to be self critical. This is something that Bertrand Meyer commented on when reaching out to the Agilistas in conjunction with his book on Agile! The Good, the Hype and the Ugly that almost all of the Agilistas treated him with "radio silence" after receiving his draft.  The problem is that the Agile business is just too lucrative for consulting and on the speaking circuit.  A great example of this business model is "Uncle Bob" Martin’s infomercial-esque site promoting his wisdom for sale. I refuse to link to it, so google it, if you want to see that spectacle.  All of these guys make a lot of money selling Agile and if they started being critical of it that would be a risk to their revenue streams.  Also how many of these guys still do significant software development work?  Ironically I think Uncle Bob still codes, but I am talking about opening up an IDE or text editor after checking out a big code base from version control and fixing bugs or doing actual coding or refactoring.  Now maybe that’s not fair to ask that, or is it?  After all they are driving how we spend our days being managed on software projects.

Another point of contention I have can be found on Martin Fowlers website under the FAQ section:

Why is your job title "Chief Scientist"?

It's a common title in the software world, often given to someone who has a public facing technical role. I enjoy the irony of it - after all I'm chief of nobody and don't do any science.

He openly admits he does no science (the black bolding is mine). Therein lays the problem with all of the Agilistas. There seems to be no scientific method involved in many if not all of their claims.  These claims as we have seen are sometimes made in "academic" journals without any citations. Of course I am skeptical about much that is written about software in journals published by ACM or IEEE and of the organizations themselves.  I think Greg Wilsons observation validates my skepticism and further draws attention to the lack of scientific method involved in software.  We need better science and people who are intellectually honest about the fact that they are just expressing unproven and in some cases unfounded opinions.

It seems to me a more conscientious approach would be for the Agilistas to promote and fund studies. Use the scientific method to back up their claims and help move the industry forward.  Whether they like it or not that is what will most likely eventually happen and they will either need to get on board or be left behind.

The irony here is that while we need more of a scientific method in defining software methodologies, much of our infrastructure comes from mathematics, another area that seems to be lacking with the Agilistas.  For example: Noam Chomsky’s formalization of grammars were adapted by Jim Backus and further refined algebraically by Donald Knuth to give us modern compiler theory and compilers.  There’s a long list of people who have laid down the mathematical foundations, people like Alan Turing, John Von Nueman, Alonzo Church, Stephen Cole Kleene, Haskell Curry and the list goes on.  Unfortunately I think too many people in our industry are ignorant of our field’s true mathematical underpinnings. I have also encountered a large degree of anti-intellectualism from programmers when it comes to applying modern math to programming.  Again I think this is an area where one should only ignore it at their own peril.

If you want to see the work that should and probably will drive our future I would recommend looking at what the researchers are doing, people like:

• Roland Backhouse
• Richard Bird
• Jeremy Gibbons
• Ralf Hinze
• Donald E. Knuth
• Lambert Meertens
• Erik Meijer
• Martin Odersky

These are just a few. There are many people doing research that will eventually find its way into our industry. It has been happening this way all along.  The problem with these people’s work is it requires real intellectual effort as opposed to the Agile approach which, while in some cases maybe common sense, all to often seems to come across as a bunch of platitudinous management speak.

I think we need to hold the Agilistas to higher standards of proof!

Disclaimer: I still code personal projects but have not been on a dev team doing real dev work in about 3-4 years after doing it for over 25 years.  Actually from what I have seen of Agile management techniques and war room/open office layouts, I am in no hurry to do any of that any time soon.

References and Further Reading

• 5 minute book review: Facts and Fallacies of Software Engineering
• A Pedagogical Framework for Domain-Specific Languages(paywalled, of course)
• Agile Bullshit: Agile Thought-Leaders Know It All
• Agile Manifesto
• "An Experiment on Unit Increase in Problem Complexity" Woodfield 1979
• Burden of Proof
• Challenging the fundamental assumptions of DDD
• CUSEC 2010 Keynote: Greg Wilson – "Bits of Evidence"
• Greg Wilson’s What We Actually Know About Software Development
• The Leprechauns of Software Engineering
• The Leprechauns of Software Engineering (reddit)
• Lutz Prechelt's Homepage
• No Silver Bullet — Essence and Accidents of Software Engineering (1986)

Software Development is a Risky Business

Software projects are inherently risky.  Some statistics show that roughly seventy percent to fifty percent of software projects get classified as “challenged”.   Where challenged can mean cost overruns and/or delivery delays, or it can mean complete failure and the cancellation of the project.  Some statistics indicate as the size of the project increases so does the probability of problems and failure.  Many articles and blog posts have been written about the long history of software project failure.  At the time of writing this post the most recent and very public software project debacle was the healthcare.gov project.  It seems as IT becomes more pervasive and essential the problems with projects may be getting worse not better.

In spite of these numbers and all too often in my experience I have found that individuals and organizations seem to have a very optimistic outlook about their own projects especially at the beginning of the project.  Perhaps it’s the classic: “that won’t happen to me” attitude.  Even as projects start to run into problems I have seen people especially managers not take issues seriously or ignore them all together.  In some of the analysis of healthcare.gov, this was cited as one of the problems.

Risk management and risk assessment/analysis are developed areas in project management and engineering and are often discussed in software projects.  Many risks will end up falling into two categories.  One category is actual risks to the end product, such as unforeseen security vulnerabilities in software systems or other engineering issues that lead to flaws or critical failures of the system or components. The other is risks in the management and execution of constructing product or system. 

Risk management is one of those areas where the engineering aspects and the engineering management aspects can become tightly coupled.  An example can be derived from the XKCD comic “Tasks”: https://xkcd.com/1425/.  Now the point of this comic is to demonstrate the difference between an easy problem and hard one, and presumably the conversation takes place between a manager and developer.  In a risk setting, perhaps solving the hard problem is the goal of the project.  So a risk might be that the research team fails to solve that problem at the end of the five years, or that it takes ten. So in a sense the task is high risk but there are team related risks, maybe the budget is too low and the team is subpar due to low salaries so they can never even solve it.  Another possible scenario is that the conversation never happened and the project management and team think it is solvable in six months.  This second scenario is the risk I have seen though out most of my career, the project management and team are overly optimistic or really don’t have a good understanding of the complexity of the task at hand.  In some cases these types of issues seem to be due in part to pluralistic ignorance.  Often in cases where developers don’t want to contradict management.  There’s a great dramatization of this type of behavior in the show Silicon Valley when the Hooli developers are working on the Nucleus project, where the information is conveyed up the management chain but nobody wants to tell Gavin the truth.

Sadly it seems like the risks that are identified are almost peripheral to the real risks on projects.  It is usually things like the hardware delivery will be delayed which will delay setting up our dev/test/prod environments and delay the start of development.  While these are legitimate risks, there is always the risk of all of the unknowns that will cause delays and cost over runs, even things like developer turnover never seem to be taken into account, at least in my experience.  Also there seems to no cognizance of the long term cost risks like the project was poorly managed or rushed or was done on the cheap which caused the delivered codebase to be an unmaintainable big ball of mud that will incur a much higher long term costs.

In order for software engineering to grow up and become a real engineering discipline it will need formal risk assessment and risk management methodologies both on the project management side and on the work product side.  This is also an area where ideas and methodologies can potentially be taken from existing work in other engineering disciplines.  These methodologies will also most likely draw from probability and game theory.

References and Further Reading

• Officials Were Warned About Health Site Woes
• Red Flags: How Politics and Poor Management Led to the Meltdown of HealthCare.gov
• Senate details HealthCare.gov crash
• HealthCare.gov Diagnosis: The Government Broke Every Rule Of Project Management
• HealthCare.gov's fatal mistake
• The Staggering Impact of IT Systems Gone Wrong
• Why Do Projects Fail?
• Gartner Survey Shows Why Projects Fail
• Study: 68 percent of IT projects fail
• The Non-Existent Software Crisis: Debunking the Chaos Report
• Why Software Projects Fail and How to Make Them Succeed
• The Standish Group Report CHAOS Report
• The scariest software project horror stories of 2012
• 2013 IT Project Success Rates Survey Results
• 14 Surprising Project Management Statistics
• FAA’s Modernization Program: Clear Skies, or Still In Heavy Turbulence?
• Anatomy of an IT disaster: How the FBI blew it
• Why Software Fails
• The Long, Dismal History of Software Project Failure
• CIO analysis: Why 37 percent of projects fail: New research identifies five important reasons that projects fail
• IT Project Failure Rates: Facts and Reasons

What is Software Correctness?

Software correctness which is really software quality is not one thing.  It is comprised of a number of different and sometimes conflicting attributes.  As always Gerald J. Sussman provides interesting insights and in this case it is in his "We really don’t know how to compute" talk.   He makes the point that "correctness" may not be the most important attribute of software, the example he give is if Google’s page craps out on you, you will probably try again and it will probably work.  Actually this example might be more about reliability but it got me thinking as I have always thought that "software correctness" meant the combination of both accuracy and reliability and that was this the "correctness" that I always thought was the most important feature of software.  But this correctness is really two software quality attributes and the Google search software exemplifies these two aspects of "software correctness", one is availability and the other is search accuracy or the fulfillment of the users expectations.  One could argue that availability is not a software attribute but it is affected by the quality of the software and it is an attribute of a software system even if some of that might be driven by hardware.   So these two attributes for Google search do not have to be perfect.  The search quality needs to be at least better than the competition and the availability has to be high enough so that people won’t be discouraged from using it and for these two attributes they are both very high.   These parameters of quality vary in other domains, a machine administering a dose of radiation to a cancer patient would need to have stringent requirements as to the correctness of the dose, and in fact there have been deaths due to exactly this type of problem.  Another is software guiding a spacecraft or a Mars rover which needs to be extremely reliable and correct and when it hasn’t been, well there are a few space bricks floating around the solar system due to software errors.  In the real world, especially now, software is everywhere and it now lives in a variety of contexts.  So which quality attributes are important will vary based on its domain and its context.

So what makes software good?  Google first conquered search with Map-Reduce and other processes running on custom commodity hardware that allowed for flexible fault tolerant distributed massive data crunching.  Amazon has commoditized its server infrastructure to sell spare capacity that can be easily used by anyone.  Apple created easy to use attractive interfaces for the iPhone and iPad that consumers loved with similar usability now being offered on Android.  NASA has successfully landed on the frigid world of Titan, touched the edge of the heliosphere, and has run rovers on Mars.  While there are obviously hardware components to these systems, it was the various types of software quality that played a pivotal role in these and the many other great software successes.

It is easy to look back at these successes.  With the exception of NASA, I doubt there was a deliberate effort on which quality aspects to focus on.  Most were probably chosen intuitively based on business needs.  Software quality is essential to any organization that creates software.  It is an established subdomain or perhaps a related separate sibling field of software development.  It has consortiums, professional organizations and many books written on the subject.  So I delved into some of these and you find mention of Agile and TDD.  You also start to see things like CMMI, ISO 9000, Six Sigma.  Some of the resources seem to be written in some alien language, perhaps called ISO900ese, that seems related to software development but leaves me feeling very disconnected from it.   I think that the problem might be that these attempts to formalize software quality as a discipline are suffering from the same problem that plagues the attempt to formalize software engineering as a discipline.  It conflates the development process with the final product and the software quality formalization might be further exacerbated by the influence of the domain of manufacturing and its jargon.  I think these established methodologies have value, for example makes sense, but it seems like in general with these standards there is a lot to weed through and the good parts seem to be hard to pick out.  So I thought it might be fruitful to look at the problem from another angle that might provide a better way to reason about the quality of a system not only after and during its development but also before development begins.

A list of "quality parameters" for software is a requirement for software engineering to be a real engineering discipline.  These parameters could then be viewed qualitatively and quantitatively and perhaps even be measured.  In engineering disciplines various parameters are tradeoffs, you can make something sturdier but you will probably raise the cost and or the weight, for example plastic bumpers on cars, metal would be more durable but would be heavier and more costly.  If one were to think of some parameters in software as tradeoffs you can see that improvements on some parameters may cause others to go down.  In my post "The Software Reuse Complexity Curve" I posit that reuse and complexity are interrelated and that the level of reuse can affect understandability and maintainability.  Another example is performance, increasing performance of certain modules or functions might lead to an increase in complexity which without proper documentation could lead to harder understandability which might cause a higher long term maintenance cost.

So to come back to the question and to rephrase it:  What are the attributes that constitute software quality?   I am not the only person to ask this question as I have seen other blog posts that address this. There are quite a few people who have asked this question and have compiled good lists.  One post by Peteris Krumins lists out some code quality attributes that Charles E. Leiserson, in his first lecture of MIT's Introduction to Algorithms, mentions  as being more important than performance.   Additionally Bryan Soliman’s post "Software Engineering Quality Aspects" provides a nice list with a number of references.  I thought I’d create my own list derived from those sources and my own experience.  I am categorizing mine in three groups, Requirements based (including nonfunctional requirements), structural, and items that fall into both categories.

REQUIREMENTS

• Performance
• Correctness (Requirements Conformance)
• User Expectations
• Functionality
• Security
• Reliability
• Scalability
• Availability
• Financial Cost
• Auditability

STRUCTURAL

• Modularity
• Component Replaceability
• Recoverability
• Good Descriptive Consistent Naming
• Maintainability/ Changeability
• Programmer's time
• Extensibility/Modifiability
• Reusability
• Testability
• Industry standard best practices (idiomatic code)
• Effective library use, leveraging open source (minimal reinvention)
• Proper Abstractions and Clear code flow
• Good and easy to follow architecture/ Conceptual Integrity
• Has no security vulnerabilities
• Short low complexity routines

BOTH

• Robustness/Recoverability
• Usability
• Adaptability
• Efficiency
• Interoperability/Integrate-ability
• Standards
• Durability
• Complexity
• Installability

This is by no means intended as a definitive list.  The idea here is to put forth the idea of enumerating and classifying these attributes as a way to reason about, plan and remediate the quality of software projects, basically create a methodical way to address software quality throughout the software development lifecycle.  In the case of planning software quality attributes can be potentially rated with respect to priority.  This could also allow conflicting attributes to be more effectively evaluated. 

The attribute of availability is one that is fairly easy to quantify and often gets addressed usually in some type of Service Level Aggreement (SLA).  Although availability cannot be predicted, the underlying system that "provides" it can be tested. Netflix has developed chaos monkey to in part to verify (test) this quality attribute of their production system.  Tests and QA testers are a way to verify the requirements correctness and the correctness of system level components and services contracts of software. Static analysis tools like PMD, Checkstyle, and Sonarqube can help with code complexity, code conventions and even naming. 

Complexity is an elusive idea in this context it also crosses many of the above ideas.  Code can be overly complex, as can UIs, Usability (think command line), Installability, etc.  Another cross concept is understandability which can affect code, UIs, etc. which is in part related to complexity but can manifest itself in the use of bad or unconventional nomenclature as well.  There may be other cross concerns and it seems that the spectrum of quality attributes might better reasoned about by separating out these concepts and developing general ways to reason about them.

I should note that I include financial cost as one of the attributes.  While it might not be a real quality attribute, higher quality may necessitate higher cost, but not necessarily.  If one were to develop two systems that had the same level of quality across all of the chosen attributes, but one system had twice the cost, the cheaper one would be a better value, hence more desirable. So cost is not a quality attribute per se, but it is always an important factor in software development. 

In summary my vision is a comprehensive methodology where the quality attributes of a software system are defined and prioritized and hopefully measured.  They are planned for and tracked throughout the life cycle and perhaps adjusted as new needs arise or are discovered.  The existing tools would be used in a deliberate manner and perhaps as thinking about the quality attributes becomes more formalized new tools will be developed to cover areas that are not currently covered.  It will no longer be about code coverage but quality coverage.

References and Further Reading

Anthony Ferrara, Beyond Clean Code,  http://blog.ircmaxell.com/2013/11/beyond-clean-code.html

David Chappell,  The Three Aspects of Software Quality: Functional, Structural, and Process, http://www.davidchappell.com/writing/white_papers/The_Three_Aspects_of_Software_Quality_v1.0-Chappell.pdf

Rikard Edgren, Henrik Emilsson and Martin Jansson , Software Quality Characteristics,

http://thetesteye.com/posters/TheTestEye_SoftwareQualityCharacteristics.pdf

Bryan Soliman, Software Engineering QualityAspects, http://bryansoliman.wordpress.com/2011/04/14/40/

Ben Moseley and Peter Marks , Out of the Tar Pit, http://shaffner.us/cs/papers/tarpit.pdf

Brian Foote and Joseph Yoder, Big Ball of Mud, http://laputan.org/mud/

Wikipedia , Software quality, http://en.wikipedia.org/wiki/Software_quality

Franco Martinig, Software Quality Attributes, http://blog.martinig.ch/quotes/software-quality-attributes/

MSDN, Chapter 16: Quality Attributes, http://msdn.microsoft.com/en-us/library/ee658094.aspx

Advoss, Software Quality Attributes, http://www.advoss.com/software-quality-attributes.html

Eric Jacobson, CRUSSPIC STMPL Reborn, http://www.testthisblog.com/2011/08/crusspic-stmpl-reborn.html

Why You Can’t Have a Real Software Engineering Discipline

As we all know the fields of computer science and software engineering are in their infancies.  Many a blog post has been written lamenting the fact that software engineering is not a real engineering discipline, and while I have not written that exact post, I have written about the subject and have deconstructed what others have said about it.  A number of these points do apply to why software projects routinely fail, yet another topic that has received considerable attention.  Now admittedly all engineering disciplines regardless of their maturity and formalization have project failures and creating a real software engineering discipline will not eliminate this problem but one would hope that it would abate it.

I find it odd that at a time when so many people are involved in IT there seems to be little discernible progress in creating a real software engineering disciple.  There are probably millions of people working on creating software.  Also there are many researchers trying to solve this problem from many different angles.  Practitioners have been attempting to solve it with ideas like Agile and Software Craftsmanship, etc.  Additionally there is a long list of failures surrounding the formalization software engineering.  

My biggest complaint is the fact that there really are no good formal standards in general software engineering principles and methodologies lack a formal foundation and even the more vague principles can be easily thwarted and misused, and often, as I have previously complained, it often ends up being based on pure opinion which is usually won through positional authority, perseverance or by those who are just more politically savvy.

The intent of this post is not to attempt to solve or even offer solutions to the problem of creating a real software engineering discipline but to look at what I think are some barriers to creating this discipline and in some of these cases offer thoughts on overcoming those barriers.

Low Entry Requirements

If we are to think software engineering as an engineering discipline, I challenge you to find another engineering discipline that routinely has practitioners with no formal training in the field.  I very much doubt that someone who did not hold a degree in engineering and who built a shed in his back yard is now working as a structural engineer on a construction project, the mere idea seems ludicrous.  Yet I have worked with non technical degree holders who became software developers, one who started by building web pages and now calls himself an "Internet Application Architect", and is probably one of the biggest cargo cult coders I’ve ever had the misfortune to work with.  This egalitarian aspect isn’t all bad as it does let good people into the field as well.   Another non technical degree holder I once worked with became an accomplished developer and went on to get an advanced degree in CS and is now a CS professor.   Although it’s probably the case that for every good non technical degree holder who joins the field it is likely that dozens of mediocre and bad practitioners will also join.   It seems that in other engineering disciplines there are much more stringent educational requirements to ensure proper training.   To be clear here I am not equating having a degree with being competent because I have met many incompetent people with degrees, but still you need something.   I confess I am at a loss for a solution for this one.

The Lack of Differentiation between Science and Engineering

Chemistry is a scientific discipline, chemical engineering is an engineering discipline, and you can make this comparison between other engineering disciplines and the sciences that they employ e.g. electrical, mechanical, and structural map to various areas of physics.  Engineering and scientific disciplines are different types of disciplines often taught in separate schools.  Although each engineering discipline has some scientific overlap and it would probably be possible to move from the appropriate scientific field to the corresponding engineering field in general you probably would not do so without returning to school.   In recent years software engineering curricula have been added to the rosters of many colleges and while this is potentially a step forward, discounting for the moment that software engineering is still not really real engineering, a software engineering degree and a computer science degree in many cases gets you the same job!   

So in other fields there would be a differentiation between a degree that would put you on a track to do scientific research and one that would put you on a track to do engineering work.  As I understand it, if you are fresh out of school with a BS in CS that qualifies you to be a tester at Microsoft¹, developers hired right out of school need at least a Masters degree in CS.   This is an extreme case of how this really breaks down in our industry.  In most cases engineering practitioners are the software engineering, MIS, CS or even non technical degrees and the few scientific careers generally go to the advanced degree holders.  I admit this probably fairly normal a BS in chemistry or biology is also more likely to get you a job in IT than a job as a research scientist.  Still compared to more mature engineering fields there seems to be a lack of real differentiation between the degrees that yield a career as a software engineer versus one as a computer scientist.

Bad Management

The entry requirements for managers in software make the low entry requirements for software engineering practitioners look downright rigorous.  I have previously criticized the fact that many organizations find the cheapest people, especially for software management and give them an obligatory certification.  Now I know that engineering management regardless how formal or established the engineering discipline is an area that has problems and failures, but again I very much doubt that you would find a twenty something business or liberal arts major with a freshly minted PMP suffix managing construction or civil works projects.   Yet in my experience this is pretty normal in IT especially in the government sector.  Of course bad software management is executed by older managers as well.

A post by Larry White titled "Engineering Management Is Dying" delves into some these issues.  It is definitely the case that methodologies like Agile have changed how software projects work and the traditional corporate management approach to software really doesn’t work.  One point he makes is that it is not uncommon to see a two hundred person project at Google headed by an engineer.  To me this implies that someone is in some way managing that project.  I think all of this is indicative of the need for software engineering mangers to also be practitioners in engineering or at least very well versed in how software development works.  The situation he talks about at Google is not the case everywhere, in that case the company is its own client, but there are many cases where software is being built for clients and this does create a need for management that deals with the client, perhaps this should be a role that is separated from management and called a client liaison, which is what often happens.  Also I am not sure how things work at Google but I have also seen internal development in organizations where the IT department provides services to an internal client, I have also seen this go horribly awry with contentious unproductive relationships between departments.  In short I feel that just as we need a real software engineering discipline we also need a real incarnation of software engineering management.

The Disconnect between Academia and Industry

Most practitioners do not keep up with, or read academic research, actually many practitioners don’t read at all, but that’s another issue, and most academicians don’t work in the field so they lack the hands on knowledge.  Unfortunately this rift can take on a somewhat disdainful tone as is the case in my exploration of one practitioner’s attempt to define "Real Engineering".   Fortunately some people, I’d like to count myself among them, take a more constructive approach to building bridges across this rift.  Daniel Lemire has an interesting critique the quality of software produced in academia. 

I think the solution here is for both sides to become more engaged in problems faced on each side. I am optimistic about this one as I feel that these walls are breaking down as the field is growing up and many of the emerging technologies are forcing developers to be more cognizant of and engaged in research topics.  I also have encountered much more research that has ties to the practical concerns of day to day software development, some I have mentioned with more to come.

The Lack of an Effective CS Math Curriculum 

If you read my blog you know it to be a mix of math and software practices. I would describe myself as a software practitioner and a math enthusiast.  My math journey has taken me on some interesting math excursions into areas of math that seem to get little or no mention in CS curricula and I feel that this is a major problem in really applying math to the field of software engineering.  Another problem is in the way that it is taught, my experience was that it was not only taught badly but in a way that made it seem irrelevant to many of the programming courses.  Specifically I would shift the CS math curriculum to include less differential and integral calculus and include more logic, combinatorics, abstract algebra, graph theory, order theory, category theory and probably some topology among others.

Over the last few years I have been progressively learning more math which has been in part motivated by necessity for understanding research papers.  This approach has changed the way I see things, I now see the patterns of math in software. They are there and I believe that they can be exploited to create a real software engineering discipline.

For the math learning problem I do have some ideas many of which are expressed in my blog.  Some of my posts like refactoring if statements with Demorgan’s Laws or the String Monoid, the Object Graph, etc. are about making these mathematical ideas more relevant and accessible to programmers. Other posts like my series on naming and my post on generic programming and entropy and complexity are about my own ideas and ideas in the research literature that I feel may help to create a real software engineering discipline.  These are my attempts at solutions to these problems, so expect more of both of these and more thoughts on the CS math curriculum.

The Software Architect Debacle

This is one that really bothers me.  I feel the software architect role in general has a very negative effect on creating quality software and it dissuades the industry from developing a real engineering discipline.  The Software Architect role tends to be broadly defined, you have enterprise architects, software architects, etc., some architects tend to be involved with hardware and networking, some work on configuration management, some do software design, some do all of these things and more.  I feel this is a problem as each of these is a separate engineering area with different types of problems. By not breaking these down it often leads to a lack of focus on specific problems, also I have seen cases where the architect focuses on their preference and ignores other issues.  The architect role is often divorced from the code.  I have met many architects that were responsible for software but had never even looked at the code.  To me this is a huge failing that architects that are responsible for building software often lack the interest, time, or even aptitude to know the quality or underlying of structure of the software that they are delivering.

To really do justice to these ideas I might need a separate post, my solution would be to break down the architect role into specific engineering roles, which could include:

• Software Process Engineering - this would be involved with software team and resources planning, some aspects of configuration management such as defining policies, requirements analysis and general project management aspects of software construction including the definition and refinement of the SDLC.  This role is tightly coupled with software engineering management.
• Software Structural Engineering - this would include requirements comprehension, code infrastructure planning, prototyping work, hands on code structural work including custom frameworks and reusable components, third party library products, and general code quality including reviews and static analysis.
• Software Quality Engineering - This would include the QA roles, software testing and testing tools, requirements validation and refinement, usability and reliability and general software quality issues.
• Software Infrastructure Engineering - This would include hardware, networking, database, app server and general service infrastructure, non functional requirements fulfillment and possibly the implementation of configuration management, continuous integration, etc.

This is a rough "sketch" of these possible roles and each of these areas has some overlap implying that all of the people in these roles would work closely together, also some combination of, or all of these roles might be performed by a single individual depending on the organization’s size and structure.  What this approach does is clearly defines roles and responsibilities as opposed to some nebulous software architect role.

The Continuous Turnover of the Work Force

A young CEO once commented that he thinks young programmers are superior.  In general companies prefer younger workers as they often don’t have family commitments so they can work more hours and you can pay them lower salaries, DC area government contractors rely on this to keep their profit margins up.

As an older developer I often find this frustrating.  I confess that I have not moved up the ladder and still mostly work as a developer or what might be called a hands on architect, yes I know but that’s the current term, actually my preferred title would be: Software Structural Engineer.  Working as a contractor I have on several occasions found myself on projects that were dominated by younger developers and unfortunately on more than one occasion I watched as teams would make many mistakes due to a lack of experience, in some cases I was able to help in others I was ignored by the younger developers.  This is not to say that I do not still make mistakes, I’ve just been around long enough to have made a lot of them already.

If you buy into the software craftsmanship thing, I admit to being skeptical of this idea, you might be inclined to draw a parallel to craftsman of the past when older established masters took on apprentices and passed on their wisdom to the next generation.  Given the access to information these days such process is somewhat antiquated and perhaps impractical.  Nevertheless I feel, and the industry supports me here, that older developers who keep their skills up to date have value.  I know several younger developers who have sought me out to learn from me so I think I can safely say I still have some value.

Many older developers have let their skills get rusty and have not kept up on current technologies I have seen this many times.  Also many companies seem to lack the vision to allow for real hands on technical career growth.  I can’t help but feel that this inclination to recycle developers in each new generation is hurting or at least slowing our ability to develop a real software engineering discipline, this potential loss of continuity seems like it leads to some lost wisdom.

The Social Networking Drain and Hollywoodification of Silicon Valley

As I write this Hollywood gears up to deliver a reality TV show that takes place in silicon valley and Mark Zuckerberg now gets the paparazzi treatment.  Another article that I previously mentioned was about how CS enrollment was up because the movie The Social Network had enticed many aspiring Zuckerberg wannabes.  At present there does seem to be a gold rush mentality and it is noticeable and even discussed on sites like Hacker News. 

As someone who has never worked in the valley I am very much an outsider and may not have a good perspective on these things, but it seems that there are a lot of startup companies focusing on crap. Now I get it.  We live in a shallow consumer society with a rapacious appetite for crap. But are not these supposed to be some of the smartest people and I am not the only one to wonder why so many smart people who should have better taste and higher standards are settling for working on serving up ads and other vapid crap instead of doing more meaningful work like working on real problems that would advance human society or even just work on advancing software engineering. 

¹I believe this was the case in the late 90’s and may have changed, this information was conveyed to me by a former Microsoft employee.

A Confederacy of Cargo Cult Coders

I hate to say it but I feel that one of the biggest problems with Software Engineering is the prevalence of programmers who are Cargo Cult Coders.  Now I know this may seem a bit extreme but it is my feeling that many software projects suffer in part due to the fact that most developers are mediocre at best and there are quite a few developers some who are more senior who are "faking it" .  So before you call me a cynic or worse, think about this, it’s pretty well known that really good developers are really rare and good developers are rare.  So let’s assume for sake of argument that developer ability falls on the Normal Distribution, I am not asserting that it does, that means the vast majority of developers fall into the average category it also runs along the lines of the 80/20 rule in that most developers range from average to bad.

Now I have seen these types of developers a fair amount and this is one possible down side of frameworks such as Spring and Hibernate.  If you read my blog you know that I am a big fan of frameworks and the concept in general, but they can be abused as can any other technique or methodology. The plus side of technologies like Spring and Hibernate is that good developers can quickly create large complex well engineered systems, of course mediocre and bad programmers can, by blindly implementing framework patterns, create large complex monstrosities.  I have seen cases where through the use of cutting and pasting of example code, bad programmers can create working systems with a limited understanding of the underlying technologies, I often use googled code snippets myself, but at least I understand the fundamentals and if I don’t fully understand what I am doing at the time I try to go back and learn more about how the underlying technology works.  Essentially these Cargo Cult Programmers are mostly just configuring boilerplate code and code snippets by trial and error within the confines of a framework.

On one of my previous contracts I had the misfortune to work with perhaps one of the worst developers I have ever met, he was truly a consummate cargo cult coder, he was musician turned programmer¹ with about eight years of professional experience.  He had zero understanding of Computer Science fundamentals and seemingly no understanding of good Software Engineering principles and yet during his career he had accumulated enough basic knowledge of Web Design, Javascript, Java, Spring, Hibernate, SQL and various other technologies and components to cobble together enterprise applications.  Ironically his ability to create these applications was actually somewhat impressive, as long as you didn’t look at the code.  I think the scariest thing about this developer is that he had garnered a false sense of the level of his abilities which he would project, which in turn would cause others to falsely believe that he was a highly competent developer.

I use this particular developer as an example, but this is a trend that I am seeing, developers who now claim themselves as "senior level" because they have gained proficiency as cargo cult coders, but when you see their non boilerplate code it will often demonstrate an egregious lack of knowledge of basic concepts like cohesion, coupling, inheritance, basic OOP design, threading, the underlying workings of the framework technologies themselves, etc.  I think the biggest danger is the complacency and perhaps self delusion or naivety which can even manifest itself as hubris, that these developers acquire from this limited perspective, in fact it is ultimately self limiting behavior because all new technologies and languages are then viewed in the same narrow context, usually as another resume bullet, practitioners of what I call RDD (Resume Driven Development).

I believe that you can boil down what makes a good developer to two relatively simple things, one is ability and the other is desire.  Ability is a complex web of inherent skill, intellect including a good memory, experience etc. and desire is the hunger for knowledge and aspiration to want to improve one’s skill and the passion to find better ways to do things. In some ways the two go hand in hand but not always, the "consummate cargo cult coder" from above had a high degree of passion, but he was stubborn and did not work well with others and was unable to take advantage of the opportunity to benefit from the knowledge of others, I actually found his situation to be somewhat tragic.  The other side is people who are talented who lack desire, ironically I have been accused of this one, it’s usually not due to my lack of desire, I just sometimes find what I am working on to be boring which in turn can cause me to lag in terms of productivity, fortunately this is fairly aberrant behavior for me.

Sadly I have recently been on some pretty dysfunctional teams and I feel the biggest tragedy is that on those teams there have been developers in whom I saw that they could be more than they were on the project, but they mainly lacked guidance, which I could not provide due to team’s dynamics.  This type of situation is really a double tragedy, it is tragic for the developer in that a better opportunity for the developer is missed, and it is a missed opportunity for project, the team, and the management of the team as they could have a had a better developer who was producing better quality code.  I guess what I am saying is that there should be a way to try to avoid wasting developer potential, I think this is some of what Agile Process tries to achieve.  "Build projects around motivated individuals. Give them the environment and support they need, and trust them to get the job done." I think this should be taken further to try maximize each developer’s skill and inspire their inherent passion and to kindle increased passion to maximize the efficiency of the team.

If you are lucky the cargo cult coders on your team are just plodding along and hopefully not messing up your codebase too much and are the ones who just need that extra guidance or encouragement. Unfortunately they can do far worse damage, there are many out there who have been getting by for many years and have formed overrated opinions of themselves, these are the worst, not only can they disrupt the software structure they can often disrupt the team dynamics and create more substantial problems, in my Driven Development post I mentioned developers who I was in conflict with creating a CDD (Cognitive Dissonance Development) environment, they were cargo cult coders who had taken very defensive and recalcitrant positions, you couldn’t reason with them because if you tried to talk about good design principles or standard practices you were speaking a language they did not understand, they only saw software development as learning some new technology that they could then claim to be experts in.  They will pollute your system with redundant inconsistent shoddy code that will degrade its quality, performance and maintainability.  Worst yet, they will be excessively defensive in the face of criticism, which makes code reviews hard if not impossible, and since they don’t read or understand good engineering principles they often argue against them.  Also they will often disrupt the team dynamics and poison it with their defensive and sometimes arrogant behavior this can result in the team becoming highly dysfunctional which can create a toxic working environment that is hostile to good developers and is the opposite of the optimal environment in that the team will not function as whole that is greater than the sum of its parts it will function as whole that is less than the sum of its parts.

¹ I have worked with plenty of non-technical/non-CS converts and there are some who are good and go the extra mile to learn the basics and beyond.

You Can Control What You Can’t Measure

A couple of years ago, Tom Demarco published a brief article titled: "Software Engineering:An Idea Whose Time Has Come and Gone?". Now I know this is old news, and in it he claims that the role of measurement and hence control has not been a factor in some notable successful projects, he cites Google Earth and Wikipedia, now I cannot comment on those or many famous successful projects as I have no firsthand knowledge, however, I suspect that control has been important it just was not employed as he has anticipated and as he points out he is no longer involved in hands on development. So perhaps the premise of the famous quote "You can’t control what you can’t measure" is what is flawed.  I believe that the majority of successful software projects and successful companies built around successful software have exhibited at least some if not a large degree of control over the both the software construction process and the software structure.  I admit my assertion is tenuous at best as I have very little data to support this but I do have what I consider some interesting anecdotal support.

My own experience also tells me this is true, I am not well versed in the world of software metrics but what we have see m to be largely unwieldy and even potentially dubious (KSLOC) not to mention a lack of tooling and methodologies to apply them.  Still I feel that I can look at code base and make "aesthetic" judgments about good and bad, cohesion and coupling are fairly abstract, understanding them can shed light on how to refactor code to improve it and to give a general indication of quality.  In looking at code, both good and bad patterns emerge and can be utilized to assess and improve a code base.  One thing I can often do is reduce code size by refactoring general code into a framework and refactor it to more effectively use API’s like the Java API and API’s like Apache’s StringUtil and DateUtil classes or things like effectively employing the Spring Framework’s data binding.  Also code can often be better abstracted by composition, inheritance and general modularization and the use of patterns like the SOLID principles. These are all things that even the best developers occasionally miss, I often apply these refactoring to my own code as well, and if you are a good practitioner, what I am saying here is probably what you do every day.

While my personal control has mostly been limited to small and midsize projects and I can tell you that I have received some complements about my work to create cleaner more structured systems, my professional experience pales in comparison to that of others and I find their stories more interesting as you probably do also.  I’ll start with Steve Yegge’s "Done, and Gets Things Smart" post where he talks, not about his role, but his observations about what went on at Google:

... but I've realized that one of the Google seed engineers (exactly one) is almost singlehandedly responsible for the amazing quality of Google's engineering culture. And I mean both in the sense of having established it, and also in the sense of keeping the wheel spinning. ... Done, and Gets Things Smart folks aren't necessarily your friends. They're just people you're lucky enough to have worked with.

At first it's entirely non-obvious who's responsible for Google's culture of engineering discipline: the design docs, audited code reviews, early design reviews, readability reviews, resisting introduction of new languages, unit testing and code coverage, profiling and performance testing, etc. You know. The whole gamut of processes and tools that quality engineering organizations use to ensure that code is open, readable, documented, and generally non-shoddy work.

But if you keep an eye on the emails that go out to Google's engineering staff, over time a pattern emerges: there's one superheroic dude who's keeping us all in line.

The black bolding is his and the blue bolding is my highlighting. Clearly this demonstrates a pretty high degree of control.  The next comes from Martin Fowler’s "Who Needs an Architect?":

Architectus Oryzus [is the] kind of architect must be very aware of what's going on in the project, looking out for important issues and tackling them before they become a serious problem.

...

In many ways, the most important activity of Architectus Oryzus is to mentor the development team, to raise their level so that they can take on more complex issues. Improving the development team's ability gives an architect much greater leverage than being the sole decision maker and thus running the risk of being an architectural bottleneck. This leads to the satisfying rule of thumb that an architect's value is inversely proportional to the number of decisions he or she makes.

A similar sentiment is found in Lean Software Development: An Agile Toolkit By Mary Poppendieck and Tom Poppendieck:

Master Developers

In an extensive study of large system design, _[22] Bill Curtis and his coauthors found that for most large systems, a single or small team of exceptional designers emerge to assume primary responsibility for the design. Exceptional designers exercise leadership through their superior knowledge rather than bestowed authority. Their deep understanding of both the customers and the technical issues gain them the respect of the development team. Exceptional designers are people who are extremely familiar with the application domain and are skilled at communicating their technical vision to the development team. They are usually consumed with the success of their systems.

^[22]Curtis, Kransner, and Iscoe, "A field Study of the Software Design Process for Large Systems," 1272.

Another person who seems to support this is Joshua Block in his talk about API design, I have already blogged about that and the relevant quote is here. Also John Carmack of Id Software talks about controlling the software development process, among other things, and he makes many points that I think jibe with my control argument.

I my opinion these all show that good control does occur but it’s probably done more intuitively and it is more art than science and probably occurs without traditional metrics. That is why software projects can be insanely successful without measurement.  Actually it is my experience that control and success is not a binary relation in that control does not unconditionally imply success but rather it is a continuum such that control increases the probability of success.  Also I am not saying that software metrics is an idea whose time has come and gone, actually I believe quite the opposite, but that is another topic for another time. Another takeaway from these quotes is that having the right people and empowering them in that very critical role is a very important point in software management, again another entire topic.

RTFC

Often in our industry the M in RTFM is the code itself.  Yes, there should be more documentation but ultimately if you are a developer the code is all too often either the sole documentation or the most up to date documentation or the only worthwhile documentation.

For me it is no longer just a matter of necessity, admittedly over the years I feel I have developed pretty efficient code grokking skills, but ultimately it has become more of a way of life for me.  If I work with you or for that matter if you publish your code on the internet I will look at it.  If you claim, or are claimed by a third party, to be a good developer and I can look at your code to verify that claim I will do it in a heartbeat, if you have solved a problem that I am trying to solve or you potentially have a better solution or are using a technique that I am unfamiliar with, or are a better coder, I am all over your code.

The best developers are developers those who read code and those who read in general. The great thing about the industry today is there is no shortage of code to look at or general reading material.  As I have previously mentioned I currently work a fair amount with the Spring Framework, looking at the Spring Source code has helped me become a much better programmer and has exposed me to many new concepts.  Also reading the code allowed me to access many useful classes and functionality that are used internally by Spring but are not well documented.

I am frequently amazed (disappointed) by the lack of intellectual curiosity that many developers have for reading code.  I recall on one previous project we had to create some custom Servlet Filters, another developer had created the initial prototype and I refactored it, one thing I changed was I added Spring’s Ant pattern support for the configuration which was needed to exclude some paths, this feature was not well documented at the time and you had to read the code to figure out how to do it.  When the initial developer saw my changes he remarked with surprise that I figured out how to make it work like Spring Security.  I responded that all I had done was dug into the Spring source code to find out how they did it.  Perhaps my most irritating example of this is a project where we were in the process of making some refactoring changes which had a number of deprecated classes and in some cases entire packages of deprecated classes, and this one Cargo Cult Coder rolls in talking about how he was going to fix our architecture, of course he doesn’t bother to look at the existing code base and then he proceeds to add a class, which was also redundant, to a package where every other class was deprecated! Really!?! When a developer, especially a senior level developer works on a project with an existing code base it is their responsibility to learn the existing code base.

If you don’t read code you’re not a real developer!

Driven Development

I have recently made the transition to working at a TDD (Test Driven Development) shop, I have no previous experience with it and I am still not sure if I am really feeling it, this may be based on my perception that in order to do it right it seems SO tedious that it is going to seriously harsh my creative coding buzz. Also based on my, albeit limited, knowledge of Combinatorics it seems like it should be called "Smoke Test Driven Development" as the number of possible combinations needed to fully test any software is truly astronomical. On the other hand I have seen it be very useful and the idea of a verification process for software is invaluable, additionally many respected Software Process and Design luminaries such as Martin Fowler and Bob Martin promote it.

I admit part of my problem is that there are probably a lot of things about TDD that I still don’t really get, actually one of my shortcoming as a developer is that I am really not that interested in software process, it’s the structure of software that gets me jazzed. Also I think I have not been lucky enough to see good process applied by good people and my lack of passion for this discipline has resulted in my taking the path of least resistance.

I have been doing this Software Development thing for quite a number of years, more than I want to say, and I have to confess I still don’t really have an explicit methodology, I have acted as a lead developer, although I hate to officially have that title, on many small and mid size projects over the years and in many cases feel that I have made the difference between success and failure of projects, I of course mean that the projects were considered successful, some of which were quite complicated, and in several case have been recognized for helping the success of the project, yet I feel that I am still essentially methodologyless.

Of my last three projects, two claimed themselves as Agile and one declared itself RUP CMMI level 3. The two Agile projects were not even close, they were mostly chaotic waterfall processes, the RUP CMMI project was true to its name, but the process implementation was ridiculously self absorbed in the process itself to the point of being essentially useless, as it was guided by the assumption that checking off all of the process step checkboxes meant the project would run fine on autopilot with people who had little or no software management experience and no thought need be given to the structure or architecture of the software. Admittedly being a seasoned developer this has left me a bit jaded and thinking: "Process, I don’t need no stinking process."

As for TDD I am still on the fence, when I first switched to it I did some light research on it and in the process I encountered BDD (Behavior Driven Development) this started to seem like a YADD (Yet Another Driven Development), so then I googled "Driven Development" to see what else was out there, this of course is still mostly TDD and BDD, but there are many new YADDs, the best one was a humorous yet enlightening blog entry by Scott Berkun called "Asshole Driven Development" which lays out the following (and many more in the comments):

• Asshole Driven Development (ADD)
• Cognitive Dissonance Development (CDD)
• Cover Your Ass Engineering (CYAE)
• Development By Denial (DBD)
• Get Me Promoted Methodology (GMPM)

Ironically I think one of my Agile projects was a combination of Scott Berkun’s ADD and CDD, and what I would call RDD, Resume Driven Development, that’s where developers pick technologies solely to add them to their resumes, I was against this practice and reviled for it, thus I was on one side of the CDD conflict.

As I have wandered through the desert of pseudo-process for the last few years, I have been increasingly researching, observing and thinking about why am I able to succeed where others fail and what is the best way to do this, also there are many things I have observed where the management of the project was incredibly inefficient and dysfunctional, sometimes I would openly comment on and other times I would keep to myself.

I figured that I would jump on the YADD proliferation bandwagon and propose two of my own YADD’s, the first is my FDD, Framework Driven Development, the basic structural principles of which are outlined in my blog entry "What does your framework look like?"

In my recent experience I have noticed that software projects can become too focused on process and that process can become a magic bullet. It seems that in some cases process trumps structural concerns. The process component is easier for mangers to grasp and is more congruent with their formal methods, naturally. However, I think that the two need to be balanced, and I feel that something like my FDD concept is a step in that direction, as how to integrate it into process, that is something that still needs to be thought through.

The second YADD is what I would call DSDD, Developer Skill Driven Development. My previous ADD, CDD, and RDD "Agile" project was run by very young non-technical "managers", who had or were in the process of acquiring their PMI (Project Management Institute) PMP (Project Management Professional) suffixes, this one tends feel like a GMPM to me. Needless to say these "mangers" had only a rudimentary, at best, understanding of software development, I should also mention that this was government work so the tolerance for inefficiency was high, and there were a number of very good and good developers so the project mostly ran, as one developer pointed out, by itself. The most frustrating thing about the project was how the work was assigned, the better developers, myself included would often watch, sometimes in anger, as poor and junior developers were given the more challenging work, with which they always stumbled. Another developer would often say to me in jest, "We are all just 25 horsepower engines," I guess sometimes you have to laugh otherwise you’ll be crying.

I have since seen and also reflected back to previous projects in regards to how often managers seem to not understand or take into account the strengths of their team members, and it seems to be a reoccurring antipattern which I would call SDD, Slot Driven Development. (How many YADD’s are we up to now?) I think part of the problem is the management philosophy of divide and concur, where you split up the work into tasks, apply your "resources" and repeat.

DSDD is the idea that not all project tasks have the same level of difficulty and not all developers have the same level or set of skills and the two should be matched as effectively as possible. Another ramification of this approach is to probably a need rethink how project work is partitioned, think framework builder i.e. the 20%.

Of course I am just having some fun ranting here and am not really seriously proposing the creation of more YADDs. Some of my bad experiences may be due to the type of contracts I have taken recently, more on that later, but it does seem that in general software projects are poorly managed, please feel free to share your thoughts, experiences and YADDs in the comments.