Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System

by Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux and Martin Monperrus

Cite it:

Zhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux and Martin Monperrus, "Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System", Empirical Software Engineering (Springer), 2018.
https://doi.org/10.1007/s10664-018-9619-4

Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System
http://arxiv.org/pdf/1810.10614

[Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System](http://arxiv.org/pdf/1810.10614) ([doi:10.1007/s10664-018-9619-4](https://doi.org/10.1007/s10664-018-9619-4))

\href{http://arxiv.org/pdf/1810.10614}{Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System} % \cite{1810.10614}

Bibtex Entry:

@article{1810.10614,
 title = {Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System},
 journal = {Empirical Software Engineering (Springer)},
 year = {2018},
 doi = {10.1007/s10664-018-9619-4},
 author = {Zhongxing Yu and Matias Martinez and Benjamin Danglot and Thomas Durieux and Martin Monperrus},
 url = {http://arxiv.org/pdf/1810.10614},
}