Title
Complementing metaheuristic search with higher abstraction techniques
Abstract
Search-Based Software Engineering and Model-Driven Engineering are both innovative approaches to software engineering. The premise of Search-Based Software Engineering is to reformulate engineering tasks as optimisation problems that can be solved using metaheuristic search techniques. Model-Driven Engineering aims to apply greater levels of abstraction to software engineering problems. In this paper, it is argued that these two approaches are complementary and that both research fields can make further progress by applying techniques from the other. We suggest ways in which synergies between the fields can be exploited.
Year
DOI
Venue
2013
10.1109/CMSBSE.2013.6604436
CMSBSE@ICSE
Keywords
Field
DocType
java,search based software engineering,optimization,software metrics,model driven engineering,software engineering,computational modeling
Engineering mathematics,Software Engineering Process Group,Feature-oriented domain analysis,Software engineering,Systems engineering,Model-driven architecture,Computer science,Information engineering,Software construction,Software development,Search-based software engineering
Conference
ISBN
Citations 
PageRank 
978-1-4673-6284-9
3
0.38
References 
Authors
9
2
Name
Order
Citations
PageRank
Frank R. Burton1182.24
Simon M. Poulding213610.72