Learning-to-Rank vs Ranking-to-Learn: Strategies for Regression Testing in Continuous Integration

In Continuous Integration (CI), regression testing is constrained by the time between commits. This demands for careful selection and/or prioritization of test cases within test suites too large to be run entirely. To this aim, some Machine Learning (ML) techniques have been proposed, as an alternat...

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Bibliographic Details

Published in:	2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE) pp. 1 - 12
Main Authors:	Bertolino, Antonia, Guerriero, Antonio, Miranda, Breno, Pietrantuono, Roberto, Russo, Stefano
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.10.2020
Subjects:	continuous integration machine learning Machine learning algorithms regression testing Reinforcement learning Software algorithms Software engineering test prioritization test selection Testing Time factors Tuning
ISSN:	1558-1225
Online Access:	Get full text
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