Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system

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

Open source

DOI: 10.1007/s10664-018-9619-4
Published: 2018-05-12
Container: Empirical Software Engineering
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10664-018-9619-4,
  title = {Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system},
  author = {Zhongxing Yu and Matias Martinez and Benjamin Danglot and Thomas Durieux and Martin Monperrus},
  year = {2018},
  journal = {Empirical Software Engineering},
  doi = {10.1007/s10664-018-9619-4},
  url = {https://doi.org/10.1007/s10664-018-9619-4}
}

RIS

TY  - JOUR
TI  - Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system
AU  - Zhongxing Yu
AU  - Matias Martinez
AU  - Benjamin Danglot
AU  - Thomas Durieux
AU  - Martin Monperrus
PY  - 2018
JO  - Empirical Software Engineering
DO  - 10.1007/s10664-018-9619-4
UR  - https://doi.org/10.1007/s10664-018-9619-4
ER  -

APA

Yu, Z., Martinez, M., Danglot, B., Durieux, T., & Monperrus, M. (2018). Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system. Empirical Software Engineering. https://doi.org/10.1007/s10664-018-9619-4

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crossref · retrieved 2026-09-25T06:10:47.249Z