Article

Predicting Defects for Eclipse

Authors:

Thomas Zimmermann,

Andreas ZellerAuthors Info & Claims

PROMISE '07: Proceedings of the Third International Workshop on Predictor Models in Software Engineering

Page 9

https://doi.org/10.1109/PROMISE.2007.10

Published: 20 May 2007 Publication History

Abstract

We have mapped defects from the bug database of Eclipse (one of the largest open-source projects) to source code locations. The resulting data set lists the number of pre- and post-release defects for every package and file in the Eclipse releases 2.0, 2.1, and 3.0. We additionally annotated the data with common complexity metrics. All data is publicly available and can serve as a benchmark for defect prediction models.

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Cited By

Rafi MKim DChen AChen TWang S(2024)Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code RepresentationProceedings of the ACM on Software Engineering10.1145/36607931:FSE(1937-1959)Online publication date: 12-Jul-2024
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Zhao GGeorgiou SHassan SZou YTruong DCorbin TSpinellis DConstantinou EBacchelli A(2024)Enhancing Performance Bug Prediction Using Performance Code MetricsProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644920(50-62)Online publication date: 15-Apr-2024
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cover image ACM Conferences

PROMISE '07: Proceedings of the Third International Workshop on Predictor Models in Software Engineering

May 2007

104 pages

ISBN:0769529542

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering

Publisher

IEEE Computer Society

United States

Publication History

Published: 20 May 2007

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PROMISE '07

Sponsor:

SIGSOFT

PROMISE '07: Predictor Models in Software Engineering

May 20 - 26, 2007

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Overall Acceptance Rate 98 of 213 submissions, 46%

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Cited By

Rafi MKim DChen AChen TWang S(2024)Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code RepresentationProceedings of the ACM on Software Engineering10.1145/36607931:FSE(1937-1959)Online publication date: 12-Jul-2024
https://dl.acm.org/doi/10.1145/3660793
Zhao GGeorgiou SHassan SZou YTruong DCorbin TSpinellis DConstantinou EBacchelli A(2024)Enhancing Performance Bug Prediction Using Performance Code MetricsProceedings of the 21st International Conference on Mining Software Repositories10.1145/3643991.3644920(50-62)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643991.3644920
Chowdhury SUddin GHemmati HHolmes R(2024)Method-level Bug Prediction: Problems and PromisesACM Transactions on Software Engineering and Methodology10.1145/364033133:4(1-31)Online publication date: 13-Jan-2024
https://dl.acm.org/doi/10.1145/3640331
Sharma TKechagia MGeorgiou STiwari RVats IMoazen HSarro F(2024)A survey on machine learning techniques applied to source codeJournal of Systems and Software10.1016/j.jss.2023.111934209:COnline publication date: 14-Mar-2024
https://dl.acm.org/doi/10.1016/j.jss.2023.111934
Ahmad MGoseva-Popstojanova KLutz R(2024)The untold impact of learning approaches on software fault-proneness predictions: an analysis of temporal aspectsEmpirical Software Engineering10.1007/s10664-024-10454-829:4Online publication date: 8-Jun-2024
https://dl.acm.org/doi/10.1007/s10664-024-10454-8
Yu XCogo FMcIntosh SGodfrey M(2024)Studying the impact of risk assessment analytics on risk awareness and code review performanceEmpirical Software Engineering10.1007/s10664-024-10443-x29:2Online publication date: 17-Feb-2024
https://dl.acm.org/doi/10.1007/s10664-024-10443-x
Reck JBach TStoess JChandra SBlincoe KTonella P(2023)A Multidimensional Analysis of Bug Density in SAP HANAProceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3611643.3613875(1997-2007)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3611643.3613875
Yang PZhu LHu WKeung JLu LXiang J(2023)The Impact of the bug number on Effort-Aware Defect Prediction: An Empirical StudyProceedings of the 14th Asia-Pacific Symposium on Internetware10.1145/3609437.3609458(67-78)Online publication date: 4-Aug-2023
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Wyss EDe Carli LDavidson DTorres-Arias SMelara MSimon LVasilakis NMoriarty K(2023)(Nothing But) Many Eyes Make All Bugs ShallowProceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses10.1145/3605770.3625216(53-63)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3605770.3625216
Guo ZLiu SLiu XLai WMa MZhang XNi CYang YLi YChen LZhou GZhou Y(2023)Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go?ACM Transactions on Software Engineering and Methodology10.1145/358257232:4(1-55)Online publication date: 27-May-2023
https://dl.acm.org/doi/10.1145/3582572
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