Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm
Self-adaptive systems are capable of reconfiguring themselves while in use to reduce the risks forced by environments for which they may not have been specifically designed. Runtime validation techniques are required because complex self-adaptive systems must consistently offer acceptable behavior f...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-10-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/20/11324 |
| _version_ | 1797574856463613952 |
|---|---|
| author | Muhammad Abid Jamil Mohamed K. Nour Saud S. Alotaibi Mohammad Jabed Hussain Syed Mutiullah Hussaini Atif Naseer |
| author_facet | Muhammad Abid Jamil Mohamed K. Nour Saud S. Alotaibi Mohammad Jabed Hussain Syed Mutiullah Hussaini Atif Naseer |
| author_sort | Muhammad Abid Jamil |
| collection | DOAJ |
| description | Self-adaptive systems are capable of reconfiguring themselves while in use to reduce the risks forced by environments for which they may not have been specifically designed. Runtime validation techniques are required because complex self-adaptive systems must consistently offer acceptable behavior for important services. The runtime testing can offer further confidence that a self-adaptive system will continue to act as intended even when operating in unknowable circumstances. This article introduces an evolutionary framework that supports adaptive testing for self-adaptive systems. The objective is to ensure that the adaptive systems continue to operate following its requirements and that both test plans and test cases continuously stay relevant to shifting operational conditions. The proposed approach using the Strength Pareto Evolutionary Algorithm 2 (SPEA2) algorithm facilitates both the execution and adaptation of runtime testing operations. |
| first_indexed | 2024-03-10T21:28:01Z |
| format | Article |
| id | doaj.art-0900a798dc624085bd772595617d9d72 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T21:28:01Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-0900a798dc624085bd772595617d9d722023-11-19T15:30:38ZengMDPI AGApplied Sciences2076-34172023-10-0113201132410.3390/app132011324Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 AlgorithmMuhammad Abid Jamil0Mohamed K. Nour1Saud S. Alotaibi2Mohammad Jabed Hussain3Syed Mutiullah Hussaini4Atif Naseer5Department of Computer Science, College of Computers and Information Systems, Umm Al Qura University, Makkah 21955, Saudi ArabiaDepartment of Computer Science, College of Computers and Information Systems, Umm Al Qura University, Makkah 21955, Saudi ArabiaDepartment of Information Systems, College of Computers and Information Systems, Umm Al Qura University, Makkah 21955, Saudi ArabiaDepartment of Information Systems, College of Computers and Information Systems, Umm Al Qura University, Makkah 21955, Saudi ArabiaDepartment of Computer Science, College of Computers and Information Systems, Umm Al Qura University, Makkah 21955, Saudi ArabiaScience and Technology Unit, Umm Al Qura University, Makkah 21955, Saudi ArabiaSelf-adaptive systems are capable of reconfiguring themselves while in use to reduce the risks forced by environments for which they may not have been specifically designed. Runtime validation techniques are required because complex self-adaptive systems must consistently offer acceptable behavior for important services. The runtime testing can offer further confidence that a self-adaptive system will continue to act as intended even when operating in unknowable circumstances. This article introduces an evolutionary framework that supports adaptive testing for self-adaptive systems. The objective is to ensure that the adaptive systems continue to operate following its requirements and that both test plans and test cases continuously stay relevant to shifting operational conditions. The proposed approach using the Strength Pareto Evolutionary Algorithm 2 (SPEA2) algorithm facilitates both the execution and adaptation of runtime testing operations.https://www.mdpi.com/2076-3417/13/20/11324search-based software engineeringadaptive systemsconfigurable systemsmulti-objective evolutionary algorithms |
| spellingShingle | Muhammad Abid Jamil Mohamed K. Nour Saud S. Alotaibi Mohammad Jabed Hussain Syed Mutiullah Hussaini Atif Naseer Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm Applied Sciences search-based software engineering adaptive systems configurable systems multi-objective evolutionary algorithms |
| title | Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm |
| title_full | Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm |
| title_fullStr | Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm |
| title_full_unstemmed | Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm |
| title_short | Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm |
| title_sort | adaptive test suits generation for self adaptive systems using spea2 algorithm |
| topic | search-based software engineering adaptive systems configurable systems multi-objective evolutionary algorithms |
| url | https://www.mdpi.com/2076-3417/13/20/11324 |
| work_keys_str_mv | AT muhammadabidjamil adaptivetestsuitsgenerationforselfadaptivesystemsusingspea2algorithm AT mohamedknour adaptivetestsuitsgenerationforselfadaptivesystemsusingspea2algorithm AT saudsalotaibi adaptivetestsuitsgenerationforselfadaptivesystemsusingspea2algorithm AT mohammadjabedhussain adaptivetestsuitsgenerationforselfadaptivesystemsusingspea2algorithm AT syedmutiullahhussaini adaptivetestsuitsgenerationforselfadaptivesystemsusingspea2algorithm AT atifnaseer adaptivetestsuitsgenerationforselfadaptivesystemsusingspea2algorithm |