The State of the Art of Emergent Software Systems

Emergent Software Systems (ESSs) are designed to reduce the initial effort in creating autonomous solutions and fully adaptive support systems that can autonomously learn the system's structure and operating environment without predefined knowledge. These models notably minimize/exclude the inv...

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Bibliographic Details
Published in:IEEE access 2024-01, Vol.12, p.1-1
Main Authors: Shatnawi, Anas, Faye, Elie, Rima, Bachar, Alshara, Zakarea, Seriai, Abdelhak-Djamel
Format: Article
Language:English
Subjects:
Adaptation models
Adaptive systems
automatic computing
Autonomous systems
Computer Science
Computers
Cyber-physical systems
Emergent software systems
Internet of Things
Learning systems
Literature reviews
Maintenance engineering
Monitoring
Robotics
Search engines
Self adaptive control systems
self-adaptation
self-learning
Self-supervised learning
Software
Software systems
Support systems
Systematics
Taxonomy
Unmanned vehicles
Usability
Web services
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Summary:Emergent Software Systems (ESSs) are designed to reduce the initial effort in creating autonomous solutions and fully adaptive support systems that can autonomously learn the system's structure and operating environment without predefined knowledge. These models notably minimize/exclude the involvement of developers in the composition, maintenance, and evolution of software systems. Despite extensive research on self-adaptive systems, systematic reviews focusing specifically on ESSs are lacking. This paper addresses this gap by performing a systematic literature review on ESSs. Our goal is to equip researchers and industry practitioners with a comprehensive view of existing ESSs, enabling them to select approaches that meet their requirements and identify potential research avenues. The research questions are centered around knowing what ESSs are and identifying the set of activities essential for their creation. From an initial collection of 496 papers identified through search engines, 39 papers met our inclusion and exclusion criteria for retention and in-depth analysis. Finally, we build a taxonomy to categorize existing ESS approaches and dissect various ESS definitions to pinpoint their main characteristics. The taxonomy is structured around the goals, processes and usability of ESSs.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3369903