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Defect prediction from static code features: current results, limitations, new approaches.

, , , , , and . Autom. Softw. Eng., 17 (4): 375-407 (2010)

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What Makes Finite-State Models More (or Less) Testable?, , and . ASE, page 237-240. IEEE Computer Society, (2002)When to use data from other projects for effort estimation., , , , and . ASE, page 321-324. ACM, (2010)How to avoid drastic software process change (using stochastic stability)., , , and . ICSE, page 540-550. IEEE, (2009)Documenting evidence of a reuse of 'what is a feature? a qualitative study of features in industrial software product lines'., and . ESEC/SIGSOFT FSE, page 1599. ACM, (2021)Total recall, language processing, and software engineering., and . NL4SE@ESEC/SIGSOFT FSE, page 10-13. ACM, (2018)Testing Nondeterminate Systems., , , and . ISSRE, page 222-233. IEEE Computer Society, (2000)Privacy and utility for defect prediction: Experiments with MORPH., and . ICSE, page 189-199. IEEE Computer Society, (2012)When Can We Test Less?, , , , , , and . IEEE METRICS, page 98-. IEEE Computer Society, (2003)Machine Learning for Software Engineering: Case Studies in Software Reuse., and . ICTAI, page 246-251. IEEE Computer Society, (2002)An Alternative to Model Checking: Verification by Random Search of AND-OR Graphs Representing Finite-State Models., , and . HASE, page 119-128. IEEE Computer Society, (2002)