# Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm

## TL;DR

This paper introduces the scenario coevolution paradigm, a novel approach for adaptive testing of self-adaptive systems, ensuring quality assurance keeps pace with evolving system behaviors.

## Contribution

It proposes a new paradigm where test scenarios evolve alongside the system, enabling effective quality assurance for self-adaptive systems.

## Key findings

- Scenario coevolution supports adaptive testing processes.
- The paradigm allows both human and autonomous intervention.
- It addresses challenges of testing in self-adaptive systems.

## Abstract

From formal and practical analysis, we identify new challenges that self-adaptive systems pose to the process of quality assurance. When tackling these, the effort spent on various tasks in the process of software engineering is naturally re-distributed. We claim that all steps related to testing need to become self-adaptive to match the capabilities of the self-adaptive system-under-test. Otherwise, the adaptive system's behavior might elude traditional variants of quality assurance. We thus propose the paradigm of scenario coevolution, which describes a pool of test cases and other constraints on system behavior that evolves in parallel to the (in part autonomous) development of behavior in the system-under-test. Scenario coevolution offers a simple structure for the organization of adaptive testing that allows for both human-controlled and autonomous intervention, supporting software engineering for adaptive systems on a procedural as well as technical level.