Alexey made an engineering log
post in which he wonders how to get started with a summer job in which he will be asked to develop a "simple client-server system" for decision process simulation. Here's my advice:
1.
Create a Google project to host all of your code and documentation. You're going to need to put stuff somewhere. Putting it in a public repository is good for at least two reasons: (a) you get a lot of useful infrastructure (svn, mailing lists, issue tracking, wiki) for free, and (b) your sponsors will feel better about you by having open access to what you're doing. Such transparency is a good thing: it will encourage more effective communication between them and you about the status of the project. If you just show up each week for a meeting and say, "Things are going good", it's easy for the project progress to stall for quite a while before that's apparent. If your project is hosted, then you can show up each week, review with them the issues that you're working on, and show them demos or code or requirements or whatever. The more they understand what you're doing at all points in the process, the happier they will be with you and the more likely you are to succeed.
2. Once you have your project repository infrastructure set up,
create a wiki page containing the design of a REST API for client-server communication. Having just created a
REST API for the SensorBase, which is itself a "simple client-server system", I can heartily recommend this approach to exploring the requirements for your system. Basically, start asking yourself what the "resources" are in your application, and how the clients will manipulate these resources on the server. At this point, you don't worry too much about the specific look-and-feel of the interface; you're more focussed on the essential information instances and their structure. Of course, you can and should get feedback from your sponsors about your proposed set of resources and the operations available upon them. Having this API specification available makes getting into coding a breeze,
as I discovered yesterday. I previously
posted a few links that I found useful in learning about REST.
3. Once you feel comfortable with your API and thus understand what resources exist and how they are manipulated,
create a mockup of the user interface. This helps you figure out what user interface you need, and what technology you might want to use---GWT, Ruby on Rails, plain old Java, or even .NET. Since REST is an architectural "style", not a technology, your work defining the API will not be wasted regardless of what user interface infrastructure you choose.
4.
Apply the project management and quality assurance skills you learned in 613. Create unit tests and monitor your coverage. Associate each SVN commit with an Issue so that your issue list also constitutes a complete Change Log. Create intermediate milestones that you review with your sponsor. Request code reviews from fellow CSDL members. Maintain an Engineering Log with regular entries, and encourage your sponsors to read it so that they know what you're thinking about and the problems you are encountering. Use static and dynamic analysis tools to automate quality assurance whenever possible; for example, if you are programming in Java, use Checkstyle, PMD, FindBugs, and the Eclipse warnings utility.
5. Finally,
be confident in your ability to learn what is required to successfully complete this project. A common project risk factor is developers who feel insecure about not knowing everything they need to know about the application domain in advance, and as a result try to "hide" that fact from their sponsors. In any interesting development project, there are going to be things you don't know in advance, and paths you follow that turn out to be wrong and require backtracking. The goal of software engineering practices is to make those risks obvious, and put in place mechanisms to discover the wrong paths as fast as possible. You will make mistakes along the way. Everyone does, we're only human.
I hope that you will have the experience Pavel had when instituting these same kinds of practices for his bioinformatics RAship. He told me that his sponsor was delighted by his use of Google Projects and an Engineering Log to make his work more visible and accessible. I would love to see a similar outcome for you in this project.