@inproceedings{3e387de5609b451d95e9b916ba283422,
title = "Evolutionary testing: A case study",
abstract = "The paper presents a case study of applying genetic algorithms (GAs) to the automatic test data generation problem. We present the basic techniques implemented in our prototype test generation system, whose goal is to get branch coverage of the program under testing. We used our tool to experiment with simple programs, programs that have been used by others for test strategies benchmarking and the UNIX utility uniq. The effectiveness of GA-based testing system is compared with a Random testing system. We found that for simple programs both testing systems work fine, but as the complexity of the program or the complexity of input domain grows, GA-based testing system significantly outperforms Random testing.",
keywords = "Automatic test generation, Genetic algorithms, Software testing",
author = "Stella Levin and Amiram Yehudai",
year = "2007",
doi = "10.1007/978-3-540-70889-6_12",
language = "אנגלית",
isbn = "9783540708889",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "155--165",
booktitle = "Hardware and Software, Verification and Testing - Second International Haifa Venfication Conference, HVC 2006, Revised Selected Papers",
note = "2nd International Haifa Verification Conference, HVC 2006 ; Conference date: 23-10-2006 Through 26-10-2006",
}