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Poster: Identification of Methods with Low Fault Risk

R. Niedermayr, T. Röhm, and S. Wagner. ICSE '18 : Proceedings 2018 IEEE/ACM 40th International Conference on Software Engineering : Companion Proceedings, page 390-391. IEEE, (2018)
DOI: 10.1145/3183440.3195022

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apl. Prof. Dr. Rainer Bäuerle University of Stuttgart

Rainer Goutrié University of Stuttgart

Dr. Rainer Stöhr University of Stuttgart

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Rainer Valek University of Stuttgart

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Too trivial to test? An inverse view on defect prediction to identify methods with low fault risk.R. Niedermayr, T. Röhm, and S. Wagner. PeerJ PrePrints, (2018)Identification of methods with low fault riskR. Niedermayr, T. Röhm, and S. Wagner. Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings (ICSE '18), page 390-391. ACM, (2018)Is Static Analysis Able to Identify Unnecessary Source Code?R. Haas, R. Niedermayr, T. Roehm, and S. Apel. ACM Transactions on Software Engineering and Methodology, 29 (1): 1-23 (2020)Ticket Coverage: Putting Test Coverage into Context.J. Rott, R. Niedermayr, E. Jürgens, and D. Pagano. WETSoM@ICSE, page 2-8. IEEE, (2017)Too trivial to test? An inverse view on defect prediction to identify methods with low fault risk.R. Niedermayr, T. Röhm, and S. Wagner. PeerJ Computer Science, (2019)Is the Stack Distance Between Test Case and Method Correlated with Test Effectiveness?R. Niedermayr, and S. Wagner. EASE '19: Proceedings of the Evaluation and Assessment on Software Engineering, page 189-198. ACM, (2019)Evaluation and improvement of automated software test suitesR. Niedermayr. Universität Stuttgart, Stuttgart, Dissertation, (2019)TEAMSCALE : Tackle Technical Debt and Control the Quality of Your SoftwareR. Haas, R. Niedermayr, and E. Juergens. 2019 IEEE/ACM International Conference on Technical Debt : TechDebt 2019, page 55-56. IEEE, (2019)Too trivial to test? An inverse view on defect prediction to identify methods with low fault riskR. Niedermayr, T. Roehm, and S. Wagner. PeerJ Computer Science, (2019)Too trivial to test? An inverse view on defect prediction to identify methods with low fault riskR. Niedermayr, T. Röhm, and S. Wagner. Software Engineering 2020, page 137-138. Gesellschaft für Informatik e.V., (2020)