A systematic and comprehensive investigation of methods to build and evaluate fault prediction models

Author:

Arisholm Erik,Briand Lionel C.,Johannessen Eivind B.

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference35 articles.

1. Arisholm, E., Briand, L.C., Fuglerud, M., 2007. Data mining techniques for building fault-proneness models in Telecom Java Software. In: The 18th IEEE International Symposium on Software Reliability, 2007. ISSRE ‘07, pp. 215–224.

2. Arisholm, E., Briand, L.C., Johannessen, E., 2008. Data mining techniques, candidate measures and evaluation methods for building practically useful fault-proneness prediction models. Simula Research Laboratory Technical Report 2008-06.

3. Empirical studies of quality models in object-oriented systems;Briand;Advances in Computers,2002

4. Empirical studies of quality models in object-oriented systems;Briand;Advances in Computers,2002

5. Assessing the applicability of fault-proneness models across object-oriented software projects;Briand;IEEE Transactions on Software Engineering,2002

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