Document Type

Article

Publication Date

2014

Abstract

Extracting valuable information from source code automatically was the subject of many research papers. Such information can be used for document traceability, concept or feature extraction, etc. In this paper, we used an Information Retrieval (IR) technique: Latent Semantic Indexing (LSI) for the automatic extraction of source code concepts for the purpose of test cases' reduction. We used and updated the open source FLAT Eclipse add on to try several code stemming approaches. The goal is to check the best approach to extract code concepts that can improve the process of test cases' selection or reduction.

Digital Object Identifier (DOI)

10.14257/ijseia.2014.8.1.18

Volume

8

Issue

1

Comments

© the authors. Published under Creative Commons License. Original published version available at https://doi.org/10.14257/ijseia.2014.8.1.18.

Alazzam I., Alsmadi I., Akour M. "Test Cases Selection Based on Source Code Features Extraction," International Journal of Software Engineering and its Applications, vol. 8, pp. 203-214, 2014.

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