# Using rule engine in self-healing systems and MAPE model

arXiv: https://arxiv.org/abs/2402.11581 · HTML: https://mlsanity.com/paper/2402.11581/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Feb 2024.

## Built on by (most cited first, 1 of 1)

- [When Web Apps Heal Themselves: A MAPE-K Based Approach to Fault Tolerance and Adaptive Recovery](https://mlsanity.com/paper/2605.19261/) (2026)

## Abstract (arXiv)

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.