The weights can be harmful: Pareto search versus weighted search in multi-objective search-based software engineering
In presence of multiple objectives to be optimized in Search-Based Software Engineering
(SBSE), Pareto search has been commonly adopted. It searches for a good approximation of …
(SBSE), Pareto search has been commonly adopted. It searches for a good approximation of …
Do performance aspirations matter for guiding software configuration tuning? an empirical investigation under dual performance objectives
Configurable software systems can be tuned for better performance. Leveraging on some
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …
The symposium on search-based software engineering: Past, present and future
Abstract Context Search-Based Software Engineering (SBSE) is the research field where
Software Engineering (SE) problems are modelled as search problems to be solved by …
Software Engineering (SE) problems are modelled as search problems to be solved by …
Decision-making under uncertainty: be aware of your priorities
Self-adaptive systems (SASs) are increasingly leveraging autonomy in their decision-
making to manage uncertainty in their operating environments. A key problem with SASs is …
making to manage uncertainty in their operating environments. A key problem with SASs is …
A negotiation support system for defining utility functions for multi-stakeholder self-adaptive systems
For realistic self-adaptive systems, multiple quality attributes need to be considered and
traded off against each other. These quality attributes are commonly encoded in a utility …
traded off against each other. These quality attributes are commonly encoded in a utility …
Ram: Causally-connected and requirements-aware runtime models using bayesian learning
N Bencomo, LHG Paucar - 2019 ACM/IEEE 22nd International …, 2019 - ieeexplore.ieee.org
[Context/Motivation] A model at runtime can be defined as an abstract representation of a
system, including its structure and behaviour, which exist alongside with the running system …
system, including its structure and behaviour, which exist alongside with the running system …
Distilled Lifelong Self-Adaptation for Configurable Systems
Modern configurable systems provide tremendous opportunities for engineering future
intelligent software systems. A key difficulty thereof is how to effectively self-adapt the …
intelligent software systems. A key difficulty thereof is how to effectively self-adapt the …
RDMSim: an exemplar for evaluation and comparison of decision-making techniques for self-adaptation
Decision-making for self-adaptation approaches need to address different challenges,
including the quantification of the uncertainty of events that cannot be foreseen in advance …
including the quantification of the uncertainty of events that cannot be foreseen in advance …
Providentia: Using search-based heuristics to optimize satisficement and competing concerns between functional and non-functional objectives in self-adaptive …
In general, a system may be subject to a combination of functional requirements (FRs) that
dictate behavior and non-functional requirements (NFRs) that characterize how FRs are to …
dictate behavior and non-functional requirements (NFRs) that characterize how FRs are to …
Towards priority-awareness in autonomous intelligent systems
In Autonomous and Intelligent systems (AIS), the decision-making process can be divided
into two parts:(i) the priorities of the requirements are determined at design-time;(ii) design …
into two parts:(i) the priorities of the requirements are determined at design-time;(ii) design …