Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation
T-way testing is a sampling approach for test data generation. Recently, adapting meta-heuristic algorithms for t-way testing is very attractive in order to find a minimum subset of test data that can test a system overall. As a consequence, several meta-heuristic algorithms have been used as the ba...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publisher
2018
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/6/31.%20Comparative%20Study%20between%20Flower%20Pollination%20Algorithm%20and%20Cuckoo%20Search%20Algorithm%20for%20t-way%20Test%20Data%20Generation1.pdf |
| _version_ | 1848820955619524608 |
|---|---|
| author | Abdullah, Nasser Kamal Z., Zamli |
| author_facet | Abdullah, Nasser Kamal Z., Zamli |
| author_sort | Abdullah, Nasser |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | T-way testing is a sampling approach for test data generation. Recently, adapting meta-heuristic algorithms for t-way testing is very attractive in order to find a minimum subset of test data that can test a system overall. As a consequence, several meta-heuristic algorithms have been used as the basis of t-way strategies. In order to guide software tester (and engineers in general) to select the best algorithm for the problem at hand, there is a need to evaluate and benchmark the performance of each strategy against common case studies. This paper presents a comparative study between two meta-heuristic strategies for t-way test data generation: Flower Pollination Algorithm (FPA) and Cuckoo Search (CS). Our experiments have performed on a real-world case study. Experimental results demonstrate that FPA appears to produce better results in most of the test cases in term of test suite size and convergence rate owing to its ability for controlling local and global search. |
| first_indexed | 2025-11-15T02:17:40Z |
| format | Article |
| id | ump-19757 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:17:40Z |
| publishDate | 2018 |
| publisher | American Scientific Publisher |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-197572018-11-13T02:06:36Z http://umpir.ump.edu.my/id/eprint/19757/ Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation Abdullah, Nasser Kamal Z., Zamli QA76 Computer software T-way testing is a sampling approach for test data generation. Recently, adapting meta-heuristic algorithms for t-way testing is very attractive in order to find a minimum subset of test data that can test a system overall. As a consequence, several meta-heuristic algorithms have been used as the basis of t-way strategies. In order to guide software tester (and engineers in general) to select the best algorithm for the problem at hand, there is a need to evaluate and benchmark the performance of each strategy against common case studies. This paper presents a comparative study between two meta-heuristic strategies for t-way test data generation: Flower Pollination Algorithm (FPA) and Cuckoo Search (CS). Our experiments have performed on a real-world case study. Experimental results demonstrate that FPA appears to produce better results in most of the test cases in term of test suite size and convergence rate owing to its ability for controlling local and global search. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19757/6/31.%20Comparative%20Study%20between%20Flower%20Pollination%20Algorithm%20and%20Cuckoo%20Search%20Algorithm%20for%20t-way%20Test%20Data%20Generation1.pdf Abdullah, Nasser and Kamal Z., Zamli (2018) Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation. Advanced Science Letters, 24 (10). pp. 7465-7469. ISSN 1936-6612. (Published) https://doi.org/10.1166/asl.2018.12960 DOI: 10.1166/asl.2018.12960 |
| spellingShingle | QA76 Computer software Abdullah, Nasser Kamal Z., Zamli Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation |
| title | Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation |
| title_full | Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation |
| title_fullStr | Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation |
| title_full_unstemmed | Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation |
| title_short | Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation |
| title_sort | comparative study between flower pollination algorithm and cuckoo search algorithm for t-way test data generation |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/ http://umpir.ump.edu.my/id/eprint/19757/6/31.%20Comparative%20Study%20between%20Flower%20Pollination%20Algorithm%20and%20Cuckoo%20Search%20Algorithm%20for%20t-way%20Test%20Data%20Generation1.pdf |