Leveraging code-test co-evolution patterns for automated test case recommendation-Reference-Cited by-同舟云学术

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Leveraging code-test co-evolution patterns for automated test case recommendation

Published:2022-05-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd ACM/IEEE International Conference on Automation of Software Test
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Author:

Shimmi Samiha¹,Rahimi Mona¹

Affiliation:

1. Northern Illinois University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524481.3527222

Reference55 articles.

1. [n.d.]. https://relaxng.org/jclark/trang.html [n.d.]. https://relaxng.org/jclark/trang.html

2. [n.d.]. srcML. https://www.srcml.org/#home [n.d.]. srcML. https://www.srcml.org/#home

3. AgitarOne. [n.d.]. http://www.agitar.com/solutions/products/agitarone.html AgitarOne. [n.d.]. http://www.agitar.com/solutions/products/agitarone.html

4. The Impact of Co-evolution of Code Production and Test Suites through Software Releases in Open Source Software Systems

5. code2vec: learning distributed representations of code

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning;Proceedings of the 14th Asia-Pacific Symposium on Internetware;2023-08-04

2. Mining software repositories for patternizing attack-and-defense co-evolution;Proceedings of the 1st International Workshop on Mining Software Repositories Applications for Privacy and Security;2022-11-07

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