- Prototype and figure out how to do the main parts
- Investigate what goes where, what datastructs are useful
- Concentrate on figuring out the parts which are technically hardest, things that require domain knowledge, interaction with unfamiliar code, etc.
- See some results and get inspired for further actions
- Don’t get stuck on how to do it properly, just get the result!
- At the end of this stage, at least one set of inputs will yield the "correct" prototype results
- Design the iteration
- Settle on the proper way to do tackle the task
- Setup the framework for taking care of the use cases that come up
- Implement the code skeleton - classes, function declarations, calls to (possibly empty) functions
- At the end of this stage, the original test case will still work, and the basic flow of control for the program will be established
- Do it properly for the main case
- Fill in the meat on the skeleton set up in the previous stage. This is sort of the "main part", that may take the longest, but with a proper skeleton code and the main risk areas handled, this could be much easier.
- At the end of this stage, and most types of legal input will result in correct output
- Wrap-up
- Go thru risky areas, add error checking, and get ready to release to the users (or testers)
- At the end of this stage, the iteration can be considered complete, legal input will result in correct output, and illegal input will be handled gracefully
Wednesday, October 13, 2010
Stages of work
Here's an approach that I found works for me, when undertaking a new feature, or rather one of its iterations
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