Implementing a t-way test generation strategy using bees algorithm
In order to ensure software performance as well as software quality, various testing techniques have been used to detect faults as early and as many as possible during the development phase. Over the last decade, the size and complexity of software developed have increased tremendously. Highly custo...
Saved in:
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833349573483954176 |
|---|---|
| author | Zabil M.H.M. Zamli K.Z. |
| author2 | 35185866500 |
| author_facet | 35185866500 Zabil M.H.M. Zamli K.Z. |
| author_sort | Zabil M.H.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In order to ensure software performance as well as software quality, various testing techniques have been used to detect faults as early and as many as possible during the development phase. Over the last decade, the size and complexity of software developed have increased tremendously. Highly customizable software allow users to configure the software to the users' needs, however, if not tested adequately, these software are prone to interaction faults. This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength). © SCRG Publication, 2013. |
| format | Article |
| id | my.uniten.dspace-21924 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-219242023-05-16T10:46:05Z Implementing a t-way test generation strategy using bees algorithm Zabil M.H.M. Zamli K.Z. 35185866500 8701576800 In order to ensure software performance as well as software quality, various testing techniques have been used to detect faults as early and as many as possible during the development phase. Over the last decade, the size and complexity of software developed have increased tremendously. Highly customizable software allow users to configure the software to the users' needs, however, if not tested adequately, these software are prone to interaction faults. This paper discusses our experiences on implementation of Bees algorithm for generating test cases to detect t-way interaction faults (where t signifies the interaction strength). © SCRG Publication, 2013. Final 2023-05-16T02:46:05Z 2023-05-16T02:46:05Z 2014 Article 2-s2.0-84894106363 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894106363&partnerID=40&md5=075f6cf0b454c99d93962185152756ec https://irepository.uniten.edu.my/handle/123456789/21924 5 SPECIALISSUE.3 116 126 Scopus |
| spellingShingle | Zabil M.H.M. Zamli K.Z. Implementing a t-way test generation strategy using bees algorithm |
| title | Implementing a t-way test generation strategy using bees algorithm |
| title_full | Implementing a t-way test generation strategy using bees algorithm |
| title_fullStr | Implementing a t-way test generation strategy using bees algorithm |
| title_full_unstemmed | Implementing a t-way test generation strategy using bees algorithm |
| title_short | Implementing a t-way test generation strategy using bees algorithm |
| title_sort | implementing a t-way test generation strategy using bees algorithm |
| url_provider | http://dspace.uniten.edu.my/ |