Paper Info
Title
Self-adaptive software: Landscape and research challenges
Abstract
Software systems dealing with distributed applications in changing environments normally require human supervision to continue operation in all conditions. These (re-)configuring, troubleshooting, and in general maintenance tasks lead to costly and time-consuming procedures during the operating phase. These problems are primarily due to the open-loop structure often followed in software development. Therefore, there is a high demand for management complexity reduction, management automation, robustness, and achieving all of the desired quality requirements within a reasonable cost and time range during operation. Self-adaptive software is a response to these demands; it is a closed-loop system with a feedback loop aiming to adjust itself to changes during its operation. These changes may stem from the software system's self (internal causes, e.g., failure) or context (external events, e.g., increasing requests from users). Such a system is required to monitor itself and its context, detect significant changes, decide how to react, and act to execute such decisions. These processes depend on adaptation properties (called self-* properties), domain characteristics (context information or models), and preferences of stakeholders. Noting these requirements, it is widely believed that new models and frameworks are needed to design self-adaptive software. This survey article presents a taxonomy, based on concerns of adaptation, that is, how, what, when and where, towards providing a unified view of this emerging area. Moreover, as adaptive systems are encountered in many disciplines, it is imperative to learn from the theories and models developed in these other areas. This survey article presents a landscape of research in self-adaptive software by highlighting relevant disciplines and some prominent research projects. This landscape helps to identify the underlying research gaps and elaborates on the corresponding challenges.
Year
DOI
Venue
2009
10.1145/1516533.1516538
TAAS
Keywords
DocType
Volume
research challenges,software system,software development,survey article,adaptive system,self-properties,underlying research gap,context information,self-adaptive software,adaptation property,research challenge,survey,adaptation processes,prominent research project,Self-adaptive software,closed-loop system
Journal
4
Issue
ISSN
Citations 
2
1556-4665
552
PageRank 
References 
Authors
16.56
112
2
Search Limit
100552
Name
Order
Citations
PageRank
Mazeiar Salehie183134.30
Ladan Tahvildari2140868.51