Jamil, M.A.; Nour, M.K.; Alotaibi, S.S.; Hussain, M.J.; Hussaini, S.M.; Naseer, A. Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm. Appl. Sci.2023, 13, 11324.
Jamil, M.A.; Nour, M.K.; Alotaibi, S.S.; Hussain, M.J.; Hussaini, S.M.; Naseer, A. Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm. Appl. Sci. 2023, 13, 11324.
Jamil, M.A.; Nour, M.K.; Alotaibi, S.S.; Hussain, M.J.; Hussaini, S.M.; Naseer, A. Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm. Appl. Sci.2023, 13, 11324.
Jamil, M.A.; Nour, M.K.; Alotaibi, S.S.; Hussain, M.J.; Hussaini, S.M.; Naseer, A. Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm. Appl. Sci. 2023, 13, 11324.
Abstract
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. Run-time validation techniques are required because complex Self-adaptive systems must consistently offer acceptable behavior for important services. The run-time 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. 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 SPEA2 algorithm facilitates both the execution and adaptation of run-time testing operations.
Copyright:
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