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Fault-detection, localization, and repair methods are vital to software quality; but it is difficult to evaluate their generality, applicability, and current effectiveness.
Experiments of the Effectiveness of Dataflow- and Controlflow-Based Test Adequacy Criteria
M. Hutchins, H. Foster, T. Goradia, and T. J. Ostrand · 1994
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Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact
H. Do, S. G. Elbaum, and G. Rothermel · 2005
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Bugbench: Benchmarks for Evaluating Bug Detection Tools
S. Lu, Z. Li, F. Qin, L. Tan, P. Zhou, and Y. Zhou · 2005
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Extraction of Bug Localization Benchmarks from History
V. Dallmeier and T. Zimmermann · 2007
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BegBunch: Benchmarking for C Bug Detection Tools
C. Cifuentes, C. Hoermann, N. Keynes, L. Li, S. Long, E. Mealy, M. Mounteney, and B. Scholz · 2009
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Defects4J: A Database of Existing Faults to Enable Controlled Testing Studies for Java Programs
R. Just, D. Jalali, and M. D. Ernst · 2014
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An Empirical Analysis of Flaky Tests
Q. Luo, F. Hariri, L. Eloussi, and D. Marinov · 2014
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Work Practices and Challenges in Pull-Based Development: The Integrator’s Perspective
G. Gousios, A. Zaidman, M. D. Storey, and A. van Deursen · 2015
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The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs
C. Le Goues, N. Holtschulte, E. K. Smith, Y. Brun, P. T. Devanbu, S. Forrest, and W. Weimer · 2015
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Quality and Productivity Outcomes Relating to Continuous Integration in GitHub
B. Vasilescu, Y. Yu, H. Wang, P. T. Devanbu, and V. Filkov · 2015
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TravisTorrent: Synthesizing Travis CI and GitHub for Full-Stack Research on Continuous Integration
M. Beller, G. Gousios, and A. Zaidman · 2017
Cited alongside, same era.
Bugs.jar: A Large-Scale, Diverse Dataset of Real-World Java Bugs
R. K. Saha, Y. Lyu, W. Lam, H. Yoshida, and M. R. Prasad · 2018
Cited alongside, same era.
BugZoo: A Platform for Studying Software Bugs
C. S. Timperley, S. Stepney, and C. Le Goues · 2018
Cited alongside, same era.
Bugs in the Wild: Examining the Effectiveness of Static Analyzers at Finding Real-World Bugs
D. A. Tomassi · 2018
Cited alongside, same era.
How to Design a Program Repair Bot?: Insights from the Repairnator Project
S. Urli, Z. Yu, L. Seinturier, and M. Monperrus · 2018
Cited alongside, same era.
http://ant.apache.org , Accessed 2019
Apache Ant · 2019
https://github.com/google/error-prone , Accessed 2019
Error Prone · 2019
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https://gradle.org , Accessed 2019
Gradle Build Tool · 2019
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https://junit.org/junit5 , Accessed 2019
JUnit Test Framework · 2019
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https://maven.apache.org , Accessed 2019
Apache Maven Project · 2019
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http://nose.readthedocs.io/en/latest , Accessed 2019
Test Framework nose · 2019
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https://docs.pytest.org/en/latest , Accessed 2019
Test Framework pytest · 2019
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https://spotbugs.readthedocs.io/en/latest/bugDescriptions.html , Accessed 2019
SpotBugs Bug Descriptions · 2019
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Cited alongside, same era.
http://azure.microsoft.com , Accessed 2019
Microsoft Azure · 2019
Cited alongside, same era.
https://github.com/cobertura/cobertura/wiki , Accessed 2019
Cobertura · 2019
Cited alongside, same era.
https://github.com/rjust/defects4j , Accessed 2019
Defects4J · 2019
Cited alongside, same era.
https://travis-ci.org , Accessed 2019a
Travis CI
Cited in the paper.
https://docs.travis-ci.com/user/job-lifecycle/#breaking-the-build , Accessed 2019b
Job Lifecycle
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https://docs.python.org/2/library/unittest.html , Accessed 2019a
Test Framework unittest
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http://testng.org/doc , Accessed 2019
Test Framework testng · 2019
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Bears: An Extensible Java Bug Benchmark for Automatic Program Repair Studies
F. M. Delfim, S. Urli, M. de Almeida Maia, and M. Monperrus · 2019
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