The Search-Based Software Engineering (SBSE) community is increasingly recognizing the
inherit “multiobjectiveness” in Software Engineering problems. The old ways of aggregating …

This survey reviews published materials related to the specific area of Search-Based
Software Engineering that concerns software maintenance and, in particular, refactoring …

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 …

Multi-objective evolutionary algorithms (MOEAs) have been efficiently applied to Search-
Based Software Engineering (SBSE) problems. However, skilled software engineers waste …

A common problem found during the integration testing is to determine an order to integrate
and test the units. Important factors related to stubbing costs and constraints regarding to the …

Abstract The field of Search-Based Software Engineering (SBSE) has widely utilized Multi-
Objective Evolutionary Algorithms (MOEAs) to solve complex software engineering …

Many real-world test optimization problems (eg, test case prioritization) are multi-objective
intrinsically and can be tackled using various multi-objective search algorithms (eg, Non …

Search Based Software Engineering (SBSE) is the field of software engineering research
and practice that applies search based techniques to solve different optimization problems …

The integration test of aspect-oriented systems involves the determination of an order to
integrate and test classes and aspects, which should be associated to a minimal possible …

Multi-Objective Evolutionary Algorithms (MOEAs) have been applied successfully for solving
real-world multi-objective problems. Their success can depend highly on the configuration of …