@inproceedings{29d0bb0c59174b24b7ec47043d419c2e,
title = "A method dependence relations guided genetic algorithm",
abstract = "Search based test generation approaches have already been shown to be effective for generating test data that achieves high code coverage for object-oriented programs. In this paper, we present a new search-based approach, called GAMDR, that uses a genetic algorithm (GA) to generate test data. GAMDR exploits method dependence relations (MDR) to narrow down the search space and direct mutation operators to the most beneficial regions for achieving high branch coverage.We compared GAMDR{\textquoteright}s effectiveness with random testing, EvoSuite, and a simple GA. The tests generated by GAMDR achieved higher branch coverage.",
keywords = "Genetic algorithm, Java testing, SBST, Search space reduction",
author = "Ali Aburas and Alex Groce",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 8th International Symposium on Search Based Software Engineering, SSBSE 2016 ; Conference date: 08-10-2016 Through 10-10-2016",
year = "2016",
doi = "10.1007/978-3-319-47106-8_22",
language = "English (US)",
isbn = "9783319471051",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "267--273",
editor = "Federica Sarro and Kalyanmoy Deb",
booktitle = "Search Based Software Engineering - 8th International Symposium, SSBSE 2016, Proceedings",
}