Application of Genetic Programming in Software Engineering Empirical Data Modelling

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/icsoft/TsakonasD08,

• author = "Athanasios Tsakonas and Georgios Dounias",
• title = "Application of Genetic Programming in Software Engineering Empirical Data Modelling",
• booktitle = "Proceedings of the Third International Conference on Software and Data Technologies ICSOFT (PL/DPS/KE) 2008",
• year = "2008",
• editor = "Jos{\'e} Cordeiro and Boris Shishkov and Alpesh Ranchordas and Markus Helfert",
• pages = "295--300",
• address = "Porto, Portugal",
• month = jul # " 5-8",
• publisher = "INSTICC Press",
• keywords = "genetic algorithms, genetic programming, SBSE",
• isbn13 = "978-989-8111-51-7",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.5003",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• contributor = "CiteSeerX",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.148.5003",
• abstract = "Research in software engineering data analysis has only recently incorporated computational intelligence methodologies. Among these approaches, genetic programming retains a remarkable position, facilitating symbolic regression tasks. In this paper, we demonstrate the effectiveness of the genetic programming paradigm, in two major software engineering duties, effort estimation and defect prediction. We examine data domains from both the commercial and the scientific sector, for each task. The proposed model is proved superior to past literature works.",

}

Genetic Programming entries for Athanasios D Tsakonas Georgios Dounias

Citations