Improved representation and genetic operators for linear genetic programming for automated program repair-Reference-Cited by-同舟云学术

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Improved representation and genetic operators for linear genetic programming for automated program repair

Published:2018-01-25 Issue:5 Volume:23 Page:2980-3006
ISSN:1382-3256
Container-title:Empirical Software Engineering
language:en
Short-container-title:Empir Software Eng

Author:

Oliveira Vinicius Paulo L.,Souza Eduardo Faria de,Goues Claire Le,Camilo-Junior Celso G.

Funder

Universidade Federal de Goiás

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

http://link.springer.com/article/10.1007/s10664-017-9562-9/fulltext.html

Reference64 articles.

1. Ackling T, Alexander B, Grunert I (2011) Evolving patches for software repair. In: Genetic and Evolutionary Computation, pp 1427–1434

2. Arcuri A (2011) Evolutionary repair of faulty software. Appl Soft Comput 11 (4):3494–3514

3. Arcuri A, Briand L (2011) A practical guide for using statistical tests to assess randomized algorithms in software engineering. In: International Conference on Software Engineering, ACM, New York, NY, USA, ICSE ’11, pp 1–10

4. Arcuri A, Yao X (2008) A novel co-evolutionary approach to automatic software bug fixing. In: 2008 IEEE Congress on Evolutionary Computation. CEC 2008. (IEEE World Congress on Computational Intelligence), IEEE, pp 162–168

5. Barr ET, Brun Y, Devanbu P, Harman M, Sarro F (2014) The plastic surgery hypothesis. In: Proceedings of the 22nd ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), pp 306–317

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