FEMOSAA: feature-guided and knee-driven multi-objective optimization for self-adaptive software

Self-Adaptive Software (SAS) can reconfigure itself to adapt to the changing environment at runtime, aiming to continually optimize conflicted nonfunctional objectives (e.g., response time, energy consumption, throughput, cost, etc.). In this article, we present Feature-guided and knEe-driven Multi-...

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Bibliographic Details
Main Authors: Tao Chen, Ke Li, Rami Bahsoon, Xin Yao
Format: Default Article
Published: 2018
Subjects:
Information systems not elsewhere classified
Software engineering not elsewhere classified
Software Engineering
Software and its engineering
Software performance
Search-based software engineering
Information Systems
Computer Software
Online Access:https://hdl.handle.net/2134/9876305.v1
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