Is the revisited hypervolume an appropriate quality indicator to evaluate multi-objective test case selection algorithms?-Reference-Cited by-同舟云学术

Is the revisited hypervolume an appropriate quality indicator to evaluate multi-objective test case selection algorithms?

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Arrieta Aitor¹

Affiliation:

1. Mondragon University, Mondragon, Spain

Funder

European Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528717

Reference53 articles.

1. Quality Indicators in Search-based Software Engineering

2. Do Quality Indicators Prefer Particular Multi-objective Search Algorithms in Search-Based Software Engineering?

3. Hussein Almulla and Gregory Gay . 2020 . Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection. In International Symposium on Search Based Software Engineering. Springer, 246--252 . Hussein Almulla and Gregory Gay. 2020. Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection. In International Symposium on Search Based Software Engineering. Springer, 246--252.

4. Learning how to search: generating effective test cases through adaptive fitness function selection

5. A practical guide for using statistical tests to assess randomized algorithms in software engineering

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