Test Cases Selection Based on Source Code Features Extraction
نویسندگان
چکیده
منابع مشابه
Test Cases Selection Based on Source Code Features Extraction
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...
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Testing and verification are mandatory when it comes to creating quality software. In order to create a good testing environment, one needs to create a lot of test cases, and typically this is done by hand. This research will reduce the manual effort by creating a model-based test case generator for source code analyzers. Using this generator, creating a suite of test cases will become less eff...
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ژورنال
عنوان ژورنال: International Journal of Software Engineering and Its Applications
سال: 2014
ISSN: 1738-9984,1738-9984
DOI: 10.14257/ijseia.2014.8.1.18