Some recent work on multi-objective approaches to search-based software engineering

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11 Citations (Scopus)

Abstract

Multi-objective algorithms have been used to solve difficult software engineering problems for a long time. This article summarises some selected recent work of applying latest meta-heuristic optimisation algorithms and machine learning algorithms to software engineering problems, including software module clustering, testing resource allocation in modular software system, protocol tuning, Java container testing, software project scheduling, software project effort estimation, and software defect prediction. References will be given, from which the details of such application of computational intelligence techniques to software engineering problems can be found. © 2013 Springer-Verlag.
Original languageEnglish
Title of host publicationSearch Based Software Engineering : 5th International Symposium, SSBSE 2013, St. Petersburg, Russia, August 24-26, 2013. Proceedings
EditorsGünther RUHE, Yuanyuan ZHANG
PublisherSpringer Berlin Heidelberg
Pages4-15
Number of pages12
ISBN (Electronic)9783642397424
ISBN (Print)9783642397417
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event5th International Symposium on Search Based Software Engineering, SSBSE 2013 - Petersburg, Russian Federation
Duration: 24 Aug 201326 Aug 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin, Heidelberg
Volume8084
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Symposium

Symposium5th International Symposium on Search Based Software Engineering, SSBSE 2013
Country/TerritoryRussian Federation
CityPetersburg
Period24/08/1326/08/13

Keywords

  • Software Engineering
  • Concept Drift
  • Computational Intelligence Technique
  • Software Defect Prediction
  • Modularisation Quality

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