Pynguin
Author:
Affiliation:
1. University of Passau, Passau, Germany
Funder
DFG
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3510454.3516829
Reference22 articles.
1. Many Independent Objective (MIO) Algorithm for Test Suite Generation
2. An empirical evaluation of evolutionary algorithms for unit test suite generation
3. Experimental Evaluation of Mutation Testing Approaches to Python Programs
4. An Evaluation of Random Testing
5. EvoSuite
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1. Practitioners’ Expectations on Automated Test Generation;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11
2. Automation of Test Skeletons Within Test-Driven Development Projects;2024 36th International Conference on Software Engineering Education and Training (CSEE&T);2024-07-29
3. Optimizing Search-Based Unit Test Generation with Large Language Models: An Empirical Study;Proceedings of the 15th Asia-Pacific Symposium on Internetware;2024-07-24
4. Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM;Proceedings of the ACM on Software Engineering;2024-07-12
5. Effective test generation using pre-trained Large Language Models and mutation testing;Information and Software Technology;2024-07
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