This post is not about whether agile methods are better than the waterfall model; rather it’s about adapting to the situation, and using the most useful tools for solving the problem. Error-driven development is often plagued by a number of problems, which might be solved, or at least reduced, by using some of the practices from the agile methods, such as scrum or eXtreme programming.
If you are already using an agile method, it might be worth evaluating whether it’s the correct method for the situation.
Anyway, here are some agile practices it might be worth adapting to your project.
Daily stand-up meetings
A lot of the problems in EDD projects are related to breakdowns in communications - not only between the team and the customer, but also between the team members and the team leader or between different team members.
The purpose of daily stand-up meetings is to spread knowledge of what each person has done since last time, what they are doing now, and what problems they have encountered. This allows team members to either help solving the problems or to plan their work accordingly – there is no need to start working on something which will run into the same problem before the problem gets fixed.
In the book Manage It, Johanna Rothman distinguish between status meetings, where everyone tells everyone else what their status is (something she consider a waste of everybody’s time) and daily stand-up meetings, where people tell the others about a) what they have just finished, b) what they are going to do now, c) what problems they encountered (something she consider very valuable). In other words, daily stand-ups can be said to give a status of the current progress for each team member.
While I certainly agree with Rothman that daily status meetings are not as good as daily stand-ups, I would hesitate to make the claim that they are a waste of time. In a project with a real breakdown in communications, status meetings can help get everyone up to speed on the project as a whole. Of course, such status meetings probably shouldn’t be daily, but rather weekly, and they should be discontinued (or at least held less frequently) when the project is back on track.
Work in short iterations
Agile methods focus on working in short iterations (usually 2-4 weeks long) where there is a finished product at the end, which can be tested. By finished, I mean a product with fully integrated functionality which can be tested through the entire system (e.g. from the GUI all the way down to the database).
This allows for continuous testing, and will give early warnings about problems in the requirements, architecture, or technology. On top of that, it has the benefit of demonstrating progress to people inside and outside the team – the psychological value of this cannot be overestimated, in a project where everybody feels that they have been working hard without showing any progress.
This approach also works in systems which are fully implemented, but which are full of bugs. Here the functionality should be fixed so they are bug-free.
No matter whether it is new functionality or existing functionality, they should be prioritized accordingly to how important they are for the customer, and where they are in the workflow of the user. If you have a workflow where the functionalities are used in the order A->B->C->D then you should implement them in that order, even if the customer feels that B is more important than A. The exception of course being if there are alternative workflows which will take the user either directly to B or to B through some other functionality – then it might make sense to implement B before A.
If the project is just one of several intra-dependent projects (e.g. if the service provider and the service consumer is implemented at the same time), it’s important to coordinate the iterations, so any dependencies between the projects are taken into consideration when planning iterations.
Implement functionality rather than architecture
This pretty much follows from the last point, but it’s important to keep in mind anyway. When developing a system, there are a lot of frameworks that need to put in place (caching, data access layers etc.), but once that’s done, the team should stop thinking in terms of architecture. Instead the team should focus on functionality.
An example of developers thinking of architecture instead of functionality is the case where new requirements are implemented layer-wise. E.g. first all the changes are done to the database, then to the ORM etc. This means that none of the new requirements (or changes to the old ones) is done before they are all done. Not a good way to make visible progress, and not something which can be easily tested before the very end.
Consider pair programming for complex problems
I must admit that I am not particularly hooked on the concept of pair programming, as I am not sure that the costs are in proportion with the benefits. If you have two programmers on equal level, then pair programming can make sense, since it can create a synergy effect, but if the programmers are on different levels, then it will quickly turn into a mentoring process. While I find mentoring processes valuable, they have their time and place, and it’s not necessarily in the everyday programming in a project that has hit problems.
Still, if there are complex problems which need to be solved in the system, then pair programming might very well be a very good idea. The benefits of pair programming should in most cases easily be worth the reduced productivity for a time (given most people don’t pair program most of the time, there will be a cost in productivity when doing this). The benefits of having two people doing the code is that they will work together to solve the problems, making it more likely that it’s done correctly, and there will be two people who understand both the problems and the solutions to them (as they were implemented).
Use continuous integration
To my mind, there is nothing that beats instant feedback when there are problems. Continuous integration is a powerful tool in helping giving developers instant feedback about problems with their code, allowing them to fix those problems as soon as they occur.
Continuous integration is, simply put, the practice of continuously committing your code to the code base, where it’s build and have tests run on it (unit tests and smoke tests) to see whether it works as it should.
This doesn’t absolve the developers of running unit tests etc. before they check in. Instead it’s a safeguard against any issues that might have occurred during check-in (forgotten to check in a file etc.).
For more on continuous integration, go read Martin Fowler’s article on the subject.
The Entity Service Antipattern - In my last post I talked about the need to keep things separated once they’ve been decoupled. Let’s look at one of the ways this breaks down: entity serv...
6 days ago