tagged by: productivity
A common debate in software development projects is between spending time on improving the quality of the software versus concentrating on releasing more valuable features. Usually the pressure to deliver functionality dominates the discussion, leading many developers to complain that they don't have time to work on architecture and code quality. This debate is based on the assumption that increasing quality also increases costs, which is our common experience. But the counter-intuitive reality is that internal software quality removes the cruft that slows down developing new features, thus decreasing the cost of enhancing the software.
Management love their metrics. The thinking goes something like this, "We need a number to measure how we’re doing. Numbers focus people and help us measure success." Whilst well intentioned, management by numbers unintuitively leads to problematic behavior and ultimately detracts from broader project and organizational goals. Metrics inherently aren’t a bad thing; just often, inappropriately used. This essay demonstrates many of the issues caused by management’s traditional use of metrics and offers an alternative to address these dysfunctions.
There isn't a simple dichotomy of remote versus co-located work, instead there are several patterns of distribution for teams each of which has different trade-offs and effective techniques suitable for them. While it's impossible to determine conclusive evidence, my sense is that most groups are more productive working in a co-located manner. But you can build a more productive team by using a distributed working model, because it gives you access to a wider talent pool.
How do you improve the productivity of software developers?
We see so much emotional discussion about software process, design practices and the like. Many of these arguments are impossible to resolve because the software industry lacks the ability to measure some of the basic elements of the effectiveness of software development. In particular we have no way of reasonably measuring productivity.
One of the commonly accepted beliefs in the software world is that talented programmers are more productive. Since we CannotMeasureProductivity this is a belief that cannot be proven, but it seems reasonable. After all just about every human endeavor shows some people better than others, often markedly so. It's also commonly observed by programmers themselves, although it always seems to be remarked on by those who consider themselves to be in the better talented category.
Is it worth the effort to design software well?
Many people belive that you can't do a fixed price contract in an agile project. Since the whole point of an agile process is that you cannot predict the future, this isn't an unreasonable supposition. However this doesn't mean you can't come up with a fixed price agile contract, what it really means is that you can't come up with a fixed scope contract.
One of my favorite soundbites is: if it hurts, do it more often. It has the happy property of seeming nonsensical on the surface, but yielding some valuable meaning when you dig deeper
A bunch of common misconceptions about pair-programming.
The State of DevOps Report is an annual report that uses a statistical analysis of survey data to determine effective practices for software delivery organizations. Its principal authors are Nicole Forsgren, Jez Humble, and Gene Kim.
I commonly come across developers who are frustrated because "management want more features, they don't care about quality". I'm always sad when I hear this, because when I hear this I know that the developers, management and their customers have already lost. Their defeat has been caused by framing the situation in terms of the tradable quality hypothesis.