Background I work in a team of 7 developers and 2 testers that work on a logistics system. We use Delphi 2007 and modeldriven development with Bold for Delphi as framework. The system has been in production about 7 years now and has about 1,7 millions lines of code. We release to production after 4-5 weeks and after almost every release we have to do some patches for bugs we don’t found. This is of course irritating both for us and the customers.
Current testing The solution is of course more automatic testing. Currently we have manual testing. A Testdbgenerator that starts with an empty database and add data from the modelled methods. We also have Testcomplete that runs some very basic scripts for testing the GUI. Lack of time stop us from add more tests, but scripts is also sensitive for changes in the application. For some years ago I really tried unit testing with DUnit, but I gave up after some days. The units have too strong connections.
Unit testing preconditions I think I know some preconditions for unit testing:
Framework to use We may upgrade to Delphi XE2, mainly because of the 64-bit compiler. I have looked at Spring a bit but this require an update from D2007 and that will not happen now. Maybe next year.
The question Most code is still not tested automatically. So what is the best path to go for increasing testability of old code ? Or maybe it is best to start writing tests for new methods only ? I’m not sure what is the best way to increase automatic testing and comments about it is welcome. Can we use D2007 + DUnit now and then easily change to Delphi XE2 + Spring later ?
EDIT: About current test methodology for manual testing is just "pound on it and try to break it" as Chris call it.
You want the book by Michael Feathers, Working Effectively with Legacy Code. It shows how to introduce (unit) tests to code that wasn't written with testability in mind.
Some of the chapters are named for excuses a developer might give for why testing old code is hard, and they contain case studies and suggested ways to address each problem:
It also covers many techniques for breaking dependencies; some might be new to you, and some you might already know but just haven't thought to use yet.