Software quality trade-offs: A systematic map
BACKGROUND: Software quality is complex with over investment, under investment and the
interplay between aspects often being overlooked as many researchers aim to advance …
interplay between aspects often being overlooked as many researchers aim to advance …
A survey of self‐healing systems frameworks
Rising complexity within multi‐tier computing architectures remains an open problem. As
complexity increases, so do the costs associated with operating and maintaining systems …
complexity increases, so do the costs associated with operating and maintaining systems …
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 (eg, response …
runtime, aiming to continually optimize conflicted nonfunctional objectives (eg, response …
Synthesis of probabilistic models for quality-of-service software engineering
An increasingly used method for the engineering of software systems with strict quality-of-
service (QoS) requirements involves the synthesis and verification of probabilistic models for …
service (QoS) requirements involves the synthesis and verification of probabilistic models for …
Runtime monitoring and resolution of probabilistic obstacles to system goals
A Cailliau, AV Lamsweerde - ACM Transactions on Autonomous and …, 2019 - dl.acm.org
Software systems are deployed in environments that keep changing over time. They should
therefore adapt to changing conditions to meet their requirements. The satisfaction rate of …
therefore adapt to changing conditions to meet their requirements. The satisfaction rate of …
To adapt or not to adapt? technical debt and learning driven self-adaptation for managing runtime performance
Self-adaptive system (SAS) can adapt itself to optimize various key performance indicators
in response to the dynamics and uncertainty in environment. In this paper, we present Debt …
in response to the dynamics and uncertainty in environment. In this paper, we present Debt …
Research on contaminant sources identification of uncertainty water demand using genetic algorithm
Y Xuesong, S Jie, H Chengyu - Cluster Computing, 2017 - Springer
Urban water supply network is easily affected by intentional or occasional chemical and
biological pollution, which threatens the health of consumers. In recent years, drinking water …
biological pollution, which threatens the health of consumers. In recent years, drinking water …
AutoRELAX: automatically RELAXing a goal model to address uncertainty
Dynamically adaptive systems (DAS) must cope with system and environmental conditions
that may not have been fully understood or anticipated during development. RELAX is a …
that may not have been fully understood or anticipated during development. RELAX is a …
Adaptive Test Suits Generation for Self-Adaptive Systems Using SPEA2 Algorithm
MA Jamil, MK Nour, SS Alotaibi, MJ Hussain… - Applied Sciences, 2023 - mdpi.com
Self-adaptive systems are capable of reconfiguring themselves while in use to reduce the
risks forced by environments for which they may not have been specifically designed …
risks forced by environments for which they may not have been specifically designed …
Reducing run-time adaptation space via analysis of possible utility bounds
Self-adaptive systems often employ dynamic programming or similar techniques to select
optimal adaptations at run-time. These techniques suffer from the" curse of dimensionality" …
optimal adaptations at run-time. These techniques suffer from the" curse of dimensionality" …