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/s10664-018-9619-4Alleviating 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},
}