From daikon to agitator: lessons and challenges in building a commercial tool for developer testing
Proceedings of the 2006 international symposium on Software testing and analysis
The CRSS metric for package design quality
ACSC '07 Proceedings of the thirtieth Australasian conference on Computer science - Volume 62
Video analysis of pair programming
Proceedings of the 2008 international workshop on Scrutinizing agile practices or shoot-out at the agile corral
Using mock object frameworks to teach object-oriented design principles
Journal of Computing Sciences in Colleges
Exploratory comparison of expert and novice pair programmers
CEE-SET'08 Proceedings of the Third IFIP TC 2 Central and East European conference on Software engineering techniques
Use of TTCN-3 for software module testing
TestCom'06 Proceedings of the 18th IFIP TC6/WG6.1 international conference on Testing of Communicating Systems
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One thing that makes unit-testing code so hard is the way the real world keeps intruding. If all we had to do was code up tests for methods that sort arrays or generate Fibonacci series, life would be easy. But in the real world we have to test code that uses data-bases, communications devices, user inter-faces, and external applications. have to interface to devices that aren't yetavailable or simulate network errors that are impossible to generate locally. This all conspires to stop our unit tests from being neat, self-contained (and orthogonal) chunks of code. Instead, if we're not careful, we find ourselves writing tests that end up initializing nearly every system component just to give the tests enough context to run. Not only is this time consuming, it also introduces a ridiculous amount of coupling into the testing process: someone changes an interfaceor a database table, and suddenly the setup code for your poor little unit test dies mysteriously. Even the best-intentioned developers become discouraged after this happens a few times. Eventually, testing starts to drop off, and we all know where that leads.