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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. Software Engineering 2020, page 137-138. Gesellschaft für Informatik e.V., (2020)
DOI: 10.18420/SE2020_41

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Tobias Schlager University of Stuttgart

Tobias Menold University of Stuttgart

Tobias Rentschler University of Stuttgart

Tobias Schwinn University of Stuttgart

Tobias Eisenreich University of Stuttgart

Other publications of authors with the same name

Poster: Identification of Methods with Low Fault RiskR. 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)The MALTASE Framework For Usage-Aware Software Evolution.T. Röhm. Technical University Munich, (2015)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)Recommending unnecessary source code based on static analysis: poster.R. Haas, R. Niedermayr, T. Röhm, and S. Apel. ICSE (Companion Volume), page 274-275. IEEE / ACM, (2019)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)On the Comprehension of Program Comprehension.W. Maalej, R. Tiarks, T. Röhm, and R. Koschke. Software Engineering & Management, volume P-239 of LNI, page 65-68. GI, (2015)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)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)