A Genetic Framework Model For Self-Adaptive Software

TL;DR

This paper introduces a genetic framework model for self-adaptive software that incorporates both external behavior and genetic material, focusing on predicted events to enhance adaptability.

Contribution

It presents a novel framework integrating genetic material with external behavior in self-adaptive software, addressing a gap in bio-inspired approaches.

Findings

Framework effectively models predicted events in self-adaptive systems

Integrates genetic information with external behavior

Highlights challenges with non-predicted events

Abstract

Lots of bio-inspired research works have been conducted in self-adaptive software. They have focused on the external behavior of biological entities without their genetic material that causes this behavior and constitutes the challenge this work dealt with. This paper propose a framework integrating both the external behavior and the genetics material. This framework is limited to predicted events. the non-predicted events are still a challenge.