共 50 条
- [41] Automated Test Data Generation Based on a Genetic Algorithm with Maximum Code Coverage and Population Diversity APPLIED SCIENCES-BASEL, 2021, 11 (10):
- [42] Improved genetic algorithm for multiple path coverage test data generation Jisuanji Gongcheng, 2006, 13 (196-197+205):
- [43] Evolutionary Generation of Test Case for Deep Neural Network Based on Coverage Guidance THIRD IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE TESTING (AITEST 2021), 2021, : 19 - 20
- [46] An Enhanced Set-based Evolutionary Algorithm for Generating Test Data that Cover Multiple Paths of a Parallel Program 2018 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2018, : 688 - 695
- [47] Search Based Test Data Generation: A Multi Objective Approach using MOPSO Evolutionary Algorithm COMPUTE 2016, 2016, : 137 - 140
- [48] Search-based Multi-paths Test Data Generation for Structure-oriented Testing WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09), 2009, : 25 - 32
- [50] Search-Based Software Test Data Generation for Path Coverage Based on a Feedback-Directed Mechanism Complex System Modeling and Simulation, 2023, 3 (01): : 12 - 31