17th International Conference on the Quality of Information and Communications Technology
Software systems are subject to various types of run-time uncertainties and variabilities. This is particularly true with regard to the emergence of machine learning-enabled systems where uncertainty is an inherent property of the system, giving rise to various design-time and run-time challenges. Over the years, adaptation has emerged as one of the solutions to tackle such changes during system execution. Adaptive software represents an established approach to coping with today’s systems complexity, uncertainty, and dynamicity. Adaptivity enables software systems to adapt their structure/behaviour during their execution in order to address changes in their environment to maintain and achieve their objectives. Adaptivity supports and enforces resilience, robustness, flexibility, autonomy, evolution, and sustainability, as well as other quality attributes.
Available solutions in various application domains propose various adaptation mechanisms for self-optimization, self-configuration, self-organization, self-protection, self-learning. In this track, we invite contributions addressing quality aspects in adaptive software. Quality aspects may concern software metrics or quality attributes to assess the efficiency of the adaptation mechanisms, trade-off analysis between the cost and the benefit of the adaptation mechanisms, the usability and re-usability of available adaptation mechanisms in other systems or application domains, the evolvability of adaptation mechanisms, the use of machine learning for proactive adaptation, just to name some. We invite researchers and practitioners to share their experience and research results in what is meaningful to consider as quality in adaptive software and how they assess this quality.
Important Dates:
Paper Submission: Friday, April 12, 2024
Notification to authors: Monday, May 20, 2024
Camera-ready: Friday, June 7, 2024 (to be confirmed)
Website: https://2024.quatic.org/thematic-tracks/quality-in-adaptive-software
Sona Ghahremani is member of the Track Committee at QUATIC 2024
