Evaluating Bees Algorithm for Sequence-based T-way Testing Test Data Generation

• Main Authors: M. H., Mohamed Zabil, Kamal Z., Zamli, K. C., Lim
• Format: Article
• Language: English
• Published: Informatics Publishing Limited 2018
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/20570/1/Evaluating%20Bees%20Algorithm%20for%20Sequence-based%20T-way%20Testing%20Test%20Data%20Generation.pdf; http://umpir.ump.edu.my/id/eprint/20570/; http://www.indjst.org/index.php/indjst/article/view/121086
• Institution: Universiti Malaysia Pahang

T-way testing is a testing technique that is used to detect faults due to parameter interactions or software configurations. In order to perform t-way testing, software testers need to prepare the test data. For a system with many configuration parameters, the test data could lead to combinatorial explosion problem, since all possible parameter combinations need to be considered. Therefore, test data generation for t-way testing need to be optimized. Many t-way test data generation strategies have been proposed in the literature to generate optimized t-way test data. However, very few strategies have been proposed for sequence-based t-way. This paper presents statistical analysis on the performance of Bees Algorithm against the other sequence t-way strategies, in order to generate test cases.