Learning the Relation Between Code Features and Code Transforms With Structured Prediction

Autor: Zhongxing Yu, Matias Martinez, Zimin Chen, Tegawendé F. Bissyandé, Martin Monperrus

Publikováno v: IEEE Transactions on Software Engineering. :1-29

To effectively guide the exploration of the code transform space for automated code evolution techniques, we present in this paper the first approach for structurally predicting code transforms at the level of AST nodes using conditional random field

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d44257fbc595b00679a49c1bb6801712
https://doi.org/10.1109/tse.2023.3275380

Characterizing the Usage, Evolution and Impact of Java Annotations in Practice

Autor: Martin Monperrus, Chenggang Bai, Lionel Seinturier, Zhongxing Yu

Publikováno v: IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering, In press, 47 (5), pp.969-986. ⟨10.1109/TSE.2019.2910516⟩
IEEE Transactions on Software Engineering, Institute of Electrical and Electronics Engineers, In press, 47 (5), pp.969-986. ⟨10.1109/TSE.2019.2910516⟩

Annotations have been formally introduced into Java since Java 5. Since then, annotations have been widely used by the Java community for different purposes, such as compiler guidance and runtime processing. Despite the ever-growing use, there is sti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd9e3b6b73a1753ffd95bd309e6334f4
https://inria.hal.science/hal-02091516/document

A Snowballing Literature Study on Test Amplification

Autor: Benjamin Danglot, Oscar Luis Vera-Pérez, Benoit Baudry, Zhongxing Yu, Martin Monperrus, Andy Zaidman

Publikováno v: Journal of Systems and Software
Journal of Systems and Software, 2019, 157, pp.1-16. ⟨10.1016/j.jss.2019.110398⟩
Journal of Systems and Software, 157
Journal of Systems and Software, Elsevier, 2019, 157, pp.1-16. ⟨10.1016/j.jss.2019.110398⟩

The adoption of agile development approaches has put an increased emphasis on developer testing, resulting in software projects with strong test suites. These suites include a large number of test cases, in which developers embed knowledge about mean

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea8b6b7658921cd61c87aa0f7c21e12b
https://inria.hal.science/hal-02290742/file/1705.10692.pdf

How to Design a Program Repair Bot? Insights from the Repairnator Project

Autor: Zhongxing Yu, Lionel Seinturier, Simon Urli, Martin Monperrus

Publikováno v: 40th International Conference on Software Engineering, Track Software Engineering in Practice
40th International Conference on Software Engineering, Track Software Engineering in Practice, May 2018, Gothenburg, Sweden. pp.95-104, ⟨10.1145/3183519.3183540⟩

update for oadoi on Nov 02 2018; International audience; Program repair research has made tremendous progress over the last few years, and software development bots are now being invented to help developers gain productivity. In this paper, we invest

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83bae8685fdf3927ec60a965c6c9edf7
http://arxiv.org/abs/1811.09852

Exhaustive Exploration of the Failure-oblivious Computing Search Space

Autor: Thomas Durieux, Benoit Baudry, Martin Monperrus, Zhongxing Yu, Youssef Hamadi

Publikováno v: ICST 2018-11th IEEE Conference on Software Testing, Validation and Verification
ICST 2018-11th IEEE Conference on Software Testing, Validation and Verification, Apr 2018, Västerås, Sweden. ⟨10.1109/ICST.2018.00023⟩
2018 IEEE 11th International Conference on Software Testing, Verification and Validation (ICST)
arXiv.org e-Print Archive
ICST

High-availability of software systems requires automated handling of crashes in presence of errors. Failure-oblivious computing is one technique that aims to achieve high availability. We note that failure-obliviousness has not been studied in depth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb2d01d23d4ca2b506f5937a945f9d75
https://hal.inria.fr/hal-01624988