The Impact of Input Domain Reduction on Search-Based Test Data Generation
by Mark Harman, Youssef Hassoun, Kiran Lakhotia, Phil McMinn, and Joachim Wegener
Joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2007)
A more recent and expanded journal version of this paper is available — see "Input Domain Reduction through Irrelevant Variable Removal and its Effect on Local, Global and Hybrid Search-Based Structural Test Data Generation".
There has recently been a great deal of interest in search-based test data generation, with many local and global search algorithms being proposed. However, to date, there has been no investigation of the relationship between the size of the input domain (the search space) and performance of search-based algorithms. Static analysis can be used to remove irrelevant variables for a given test data generation problem, thereby reducing the search space size. This paper studies the effect of this domain reduction, presenting results from the application of local and global search algorithms to real world examples. This provides evidence to support ... [more]
Reference
Mark Harman, Youssef Hassoun, Kiran Lakhotia, Phil McMinn, and Joachim Wegener. The Impact of Input Domain Reduction on Search-Based Test Data Generation. Joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2007), pp. 155–164, 2007
Bibtex Entry
@inproceedings{Harman2007,
author = "Harman, Mark and Hassoun, Youssef and Lakhotia, Kiran and McMinn, Phil and Wegener, Joachim",
title = "The Impact of Input Domain Reduction on Search-Based Test Data Generation",
booktitle = "Joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2007)",
pages = "155--164",
year = "2007",
publisher = "ACM"
}