Feature Model Synthesis with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Linsbauer:2014:SSBSE,

• author = "Lukas Linsbauer and Roberto Erick Lopez-Herrejon and Alexander Egyed",
• title = "Feature Model Synthesis with Genetic Programming",
• booktitle = "Proceedings of the 6th International Symposium, on Search-Based Software Engineering, SSBSE 2014",
• year = "2014",
• editor = "Claire {Le Goues} and Shin Yoo",
• volume = "8636",
• series = "LNCS",
• pages = "153--167",
• address = "Fortaleza, Brazil",
• month = "26-29 " # aug,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, SBSE, Feature Models, Feature Set, Reverse Engineering, Software Product Lines, Variability Modelling",
• isbn13 = "978-3-319-09939-2",
• URL = "http://www.springer.com/computer/swe/book/978-3-319-09939-2",
• DOI = "doi:10.1007/978-3-319-09940-8_11",
• size = "15 pages",
• abstract = "Search-Based Software Engineering (SBSE) is successful on several stages of the software development life cycle. It has also been applied to different challenges in the context of Software Product Lines (SPLs) like generating minimal test suites. When reverse engineering SPLs from legacy software an important challenge is the reverse engineering of variability, often expressed in the form of Feature Models (FMs). The synthesis of FMs has been studied with techniques such as Genetic Algorithms. In this paper we explore the use of Genetic Programming for this task. We sketch our general workflow, the GP pipeline employed, and its evolutionary operators. We report our experience in synthesising feature models from sets of feature combinations for 17 representative feature models, and analyse the results using standard information retrieval metrics.",

}

Genetic Programming entries for Lukas Linsbauer Roberto E Lopez-Herrejon Alexander Egyed

Citations