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How to evaluate solutions in pareto-based search-based software engineering: A critical review and methodological guidance
With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …
Combining multi-objective search and constraint solving for configuring large software product lines
Software Product Line (SPL) feature selection involves the optimization of multiple
objectives in a large and highly constrained search space. We introduce SATIBEA, that …
objectives in a large and highly constrained search space. We introduce SATIBEA, that …
Scalable product line configuration: A straw to break the camel's back
Software product lines are hard to configure. Techniques that work for medium sized product
lines fail for much larger product lines such as the Linux kernel with 6000+ features. This …
lines fail for much larger product lines such as the Linux kernel with 6000+ features. This …
Search based software engineering for software product line engineering: a survey and directions for future work
This paper presents a survey of work on Search Based Software Engineering (SBSE) for
Software Product Lines (SPLs). We have attempted to be comprehensive, in the sense that …
Software Product Lines (SPLs). We have attempted to be comprehensive, in the sense that …
A systematic literature review on the semi-automatic configuration of extended product lines
Product line engineering has become essential in mass customisation given its ability to
reduce production costs and time to market, and to improve product quality and customer …
reduce production costs and time to market, and to improve product quality and customer …
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 …
SIP: Optimal product selection from feature models using many-objective evolutionary optimization
A feature model specifies the sets of features that define valid products in a software product
line. Recent work has considered the problem of choosing optimal products from a feature …
line. Recent work has considered the problem of choosing optimal products from a feature …
Multi-objective software effort estimation: A replication study
Replication studies increase our confidence in previous results when the findings are similar
each time, and help mature our knowledge by addressing both internal and external validity …
each time, and help mature our knowledge by addressing both internal and external validity …
Configuring software product lines by combining many-objective optimization and SAT solvers
A feature model (FM) is a compact representation of the information of all possible products
from software product lines. The optimal feature selection involves the simultaneous …
from software product lines. The optimal feature selection involves the simultaneous …
SMTIBEA: a hybrid multi-objective optimization algorithm for configuring large constrained software product lines
A key challenge to software product line engineering is to explore a huge space of various
products and to find optimal or near-optimal solutions that satisfy all predefined constraints …
products and to find optimal or near-optimal solutions that satisfy all predefined constraints …