03504ntm a2200373 i 4500 vtls000103106 KUKTEM 20251117113342.0 180312s2017 my da f am 000 0 eng d THE0001288(Local) 201905271615 atie 201803121520 saini UMP eng UMP rda FSKKP .Y39 2017 r Thesis Ahmad, Yazan Sadeq Al Sariera, author. A bat-inspired t-way strategy for mixed-strength test suite generation / Yazan Ahmad Sadeq Al Sariera Kuantan, Pahang : UMP, 2017 © 2017 xiv, 162 pages : illustrations (some color), chart ; 30 cm. + 1 CD-ROM text rdacontent text rdacontent unmediated rdamedia computer rdamedia volume rdacarrier computer disc rdacarrier text file PDF rda Faculty of Computer Systems and Software Engineering Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2017 Includes bibliographical references Software testing is essential part of software development life cycle. Yet, exhaustive testing of highly configurable software is impractical owing to the limited time and resources. Furthermore, exhaustive testing leads to a combinatorial explosion problem whereby the test cases grow exponentially with the increase of software inputs. Owing to its effectiveness for bug finding, many researchers are turning to the sampling strategies based on input interaction, called t-way testing, where t indicates the interaction strength. Known to be an NP-complete (i.e. Non-deterministic Polynomial-time) problem, the process of minimizing t-way test cases is challenging owing to the potentially large generated search space when dealing with large input values. To date, many t-way strategies have been proposed in the literature. Recently, researchers have advocated the adoption of meta-heuristic based t-way strategies in line with the emergence of the new field called Search Based Software Engineering (SBSE). Although helpful, no single meta-heuristic based t-way strategies can claim dominance over their other counterparts. For this reason, the search for a new meta-heuristic based t-way strategy is still a useful endeavor. This thesis presents the design and implementation of a new meta-heuristic based t-way strategy, called Bat-inspired t-way Strategy (BTS), for generating a mixed-strength t-way test suite. BTS is the first t-way strategy that adopts the Bat-inspired algorithm as its core implementation and adopts the Hamming distance as the final selection criteria to enhance the exploration of new solution. The experimental results supported by non-parametric statistical analysis demonstrate that BTS gives competitive performance over its counterparts. Specifically, BTS has achieved and matched 68.181% of the best sizes from the published benchmark results with 32.575 % new known best sizes. This finding contributes to the field of software testing by minimizing the number of test cases for test execution. Faculty of Computer Systems and Software Engineering Dissertations Universities and colleges Disertations Theses 0 0 lcc 0 1 20000 20000 2019-09-04 0 FSKKP .Y39 2017 r Thesis 0000122548 2019-09-04 00:00:00 1 2019-09-04 THESIS 0 0 lcc 0 1 20000 20000 2019-09-04 0 CD 11224 | FSKKP .Y39 2017 r Thesis 0000122549 2019-09-04 00:00:00 1 2019-09-04 THESIS VIRTUA40 7207 7213 VTLSSORT0080*0200*0400*0900*1000*2450*2640*2641*3000*3360*3361*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992