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Software Self-adaptation and Industry: Blame MAPE-K

de Lemos, Rogério (2023) Software Self-adaptation and Industry: Blame MAPE-K. In: 2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). . IEEE (doi:10.1109/SEAMS59076.2023.00021) (KAR id:102293)


If software self-adaptation has to be widely adopted by industry, we need to think big, embrace complexity, provide easily deployed and cost-effective solutions, and justify trust.

On fairness, MAPE-K should not solely take the blame.

MAPE-K is one of the many interpretations of feedback loops apply to systems for which mathematical models - mostly based on control theory, are difficult to be synthesised.

MAPE-K has provided a basic and widely accepted framework for justifying the deployment of feedback loops in software systems.

Undoubtedly, it has helped to promote and advance the whole area, but now more concrete and resilient solutions are necessary.

This position paper argues that, first, industry has been adopting software self-adaptation, perhaps in a way that may not be recognised by the academic community, second, generic solutions are unfeasible since every software system brings its own challenges, and thirdly, the generic stages associated with a feedback loop, like MAPE-K, are insufficient to solve specific challenges.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/SEAMS59076.2023.00021
Uncontrolled keywords: feedback loop; MAPE-K; micro-services; human-in-the-loop; complexity; modelling; resilience
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Rogerio de Lemos
Date Deposited: 30 Jul 2023 04:10 UTC
Last Modified: 01 Aug 2023 10:24 UTC
Resource URI: (The current URI for this page, for reference purposes)

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