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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.11581 |
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| _version_ | 1866913236933148672 |
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| author | Yazdanparast, Zahra |
| author_facet | Yazdanparast, Zahra |
| contents | Software malfunction presents a significant hurdle within the computing domain, carrying substantial risks for systems, enterprises, and users universally. To produce software with high reliability and quality, effective debugging is essential. Program debugging is an activity to reduce software maintenance costs. In this study, a failure repair method that uses a rule engine is presented. The simulation on mRUBIS showed that the proposed method could be efficient in the operational environment. Through a thorough grasp of software failure and the adoption of efficient mitigation strategies, stakeholders can bolster the dependability, security, and adaptability of software systems. This, in turn, reduces the repercussions of failures and cultivates increased confidence in digital technologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_11581 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Using rule engine in self-healing systems and MAPE model Yazdanparast, Zahra Software Engineering Software malfunction presents a significant hurdle within the computing domain, carrying substantial risks for systems, enterprises, and users universally. To produce software with high reliability and quality, effective debugging is essential. Program debugging is an activity to reduce software maintenance costs. In this study, a failure repair method that uses a rule engine is presented. The simulation on mRUBIS showed that the proposed method could be efficient in the operational environment. Through a thorough grasp of software failure and the adoption of efficient mitigation strategies, stakeholders can bolster the dependability, security, and adaptability of software systems. This, in turn, reduces the repercussions of failures and cultivates increased confidence in digital technologies. |
| title | Using rule engine in self-healing systems and MAPE model |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2402.11581 |