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Classification of software srtifacts based on structural information

Yusof, Yuhanis and Rana, Omer Farood 2010. Classification of software srtifacts based on structural information. Lecture Notes in Computer Science 6279 , pp. 546-555. 10.1007/978-3-642-15384-6_58

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Abstract

Classification of software artifacts, in particularly the source code files, are currently performed by administrator of a repository. Even though there exist automated classification on these repositories, nevertheless existing approach focuses on semantic analysis of keywords found in the artifact. This paper presents the use of structural information, that is the software metrics, in determining the appropriate application domain for a particular artifact. Results obtained from the study show that there is a difference in the metrics’ trend between files of different application domain. It is also learned that results obtained using k-nearest neighborhood outperformed C4.5 decision tree and the one generated based on Discriminant Analysis in classifying files of database and graphics domain.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information: Knowledge-Based and Intelligent Information and Engineering Systems: 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part IV
Publisher: Springer Verlag
ISSN: 0302-9743
Last Modified: 04 Jun 2017 03:49
URI: http://orca.cf.ac.uk/id/eprint/27545

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