A practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering
Many software engineering problems are multi-objective in nature, which has been largely
recognized by the Search-based Software Engineering (SBSE) community. In this regard …
recognized by the Search-based Software Engineering (SBSE) community. In this regard …
On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach
Search-based software engineering (SBSE) solutions are still not scalable enough to handle
high-dimensional objectives space. The majority of existing work treats software engineering …
high-dimensional objectives space. The majority of existing work treats software engineering …
Dependency mining for service resilience at the edge
Edge computing paradigm is prone to failures as it trades reliability against other quality of
service properties such as low latency and geographical prevalence. Therefore, software …
service properties such as low latency and geographical prevalence. Therefore, software …
Many-objective artificial bee colony algorithm for large-scale software module clustering problem
Amarjeet, JK Chhabra - Soft Computing, 2018 - Springer
The meta-heuristic search algorithms have been widely applied to solve the various science
and engineering optimization problems. However, the performance of these algorithms is …
and engineering optimization problems. However, the performance of these algorithms is …
FP-ABC: Fuzzy-Pareto dominance driven artificial bee colony algorithm for many-objective software module clustering
JK Chhabra - Computer Languages, Systems & Structures, 2018 - Elsevier
Recently, multi-objective evolutionary algorithms (MOEAs) gained wide attention to solve
various search-based software engineering (SBSE) problems. The formulation of software …
various search-based software engineering (SBSE) problems. The formulation of software …
On the preferences of quality indicators for multi-objective search algorithms in search-based software engineering
Abstract Multi-Objective Search Algorithms (MOSAs) have been applied to solve diverse
Search-Based Software Engineering (SBSE) problems. In most cases, SBSE users select …
Search-Based Software Engineering (SBSE) problems. In most cases, SBSE users select …
A comparative study of many-objective evolutionary algorithms for the discovery of software architectures
During the design of complex systems, software architects have to deal with a tangle of
abstract artefacts, measures and ideas to discover the most fitting underlying architecture. A …
abstract artefacts, measures and ideas to discover the most fitting underlying architecture. A …
Quanti-qualitative analysis of a memetic algorithm to optimize product line architecture design
The Product Line Architecture (PLA) is one of the most important artifacts of a Software
Product Line (SPL). PLA design can be formulated as an optimization problem with many …
Product Line (SPL). PLA design can be formulated as an optimization problem with many …
Analysis of privacy patterns from an architectural perspective
Privacy has become an essential software quality that every software architect and
developer must consider. Embedding privacy practices from the early stages of the system …
developer must consider. Embedding privacy practices from the early stages of the system …
[PDF][PDF] Are MAs profitable to search-based PLA design?
The architectural properties of product-line architecture (PLA) design have been
successfully optimised by multiobjective genetic algorithms (GAs). Memetic algorithms (MAs) …
successfully optimised by multiobjective genetic algorithms (GAs). Memetic algorithms (MAs) …