- author = "Alfredo Ibias and Pablo Vazquez-Gomis and Miguel Benito-Parejo",
- booktitle = "2021 IEEE Congress on Evolutionary Computation (CEC)",
- title = "Coverage-Based Grammar-Guided Genetic Programming Generation of Test Suites",
- year = "2021",
- editor = "Yew-Soon Ong",
- pages = "2411--2418",
- address = "Krakow, Poland",
- month = "28 " # jun # "-1 " # jul,
- keywords = "genetic algorithms, genetic programming, SBSE, Software testing, Software algorithms, Evolutionary computation, Software, Software reliability, Genetic communication, Coverage, Software Testing",
- isbn13 = "978-1-7281-8393-0",
-
DOI = "
doi:10.1109/CEC45853.2021.9504969",
- abstract = "Software testing is fundamental to ensure the reliability of software. To properly test software, it is critical to generate test suites with high fault finding ability. We propose a new method to generate such test suites: a coverage-based grammar-guide genetic programming algorithm. This evolutionary computation based method allows us to generate test suites that conform with respect to a specification of the system under test using the coverage of such test suites as a guide. We considered scenarios for both black-box testing and white-box testing, depending on the different criteria we work with at each situation. Our experiments show that our proposed method outperforms other baseline methods, both in performance and execution time.",
-
notes = "Also known as \cite{9504969}
DTRS research group, Universidad Complutense de Madrid, Madrid, Spain",
