Seeding strategies for multi-objective test case selection
Author:
Affiliation:
1. Mondragon University, Mondragon, Spain
Funder
Department of Education, Universities and Research of the Basque Government
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3377930.3389810
Reference71 articles.
1. A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation
2. An Industrial Evaluation of Unit Test Generation: Finding Real Faults in a Financial Application
3. A practical guide for using statistical tests to assess randomized algorithms in software engineering
4. On the Effectiveness of Whole Test Suite Generation
5. Multi-objective Improvement of Software Using Co-evolution and Smart Seeding
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1. A Novel Mutation Operator for Search-Based Test Case Selection;Search-Based Software Engineering;2023-12-04
2. Test Case Prioritization Based on Neural Network Classification with Artifacts Traceability;2023 38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW);2023-09-11
3. Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection;ACM Transactions on Software Engineering and Methodology;2023-01-31
4. Simulation-based Testing of Simulink Models with Test Sequence and Test Assessment Blocks;IEEE Transactions on Software Engineering;2023
5. A cost-effective test case selection and prioritization using hybrid battle royale-based remora optimization;Neural Computing and Applications;2022-09-15
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