원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.8 No.1
2014.01
pp.203-214
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. Introduction
2. Literature Review
2.1. IR-LSI Technique for Code Features Extraction
2.2. Test cases’ Reduction Techniques
3. Methodology
4. Case study: Experiment and Analysis
5. A comparison Study
5.1. Case 1:
5.2. Case 2:
6. Conclusion
References
1. Introduction
2. Literature Review
2.1. IR-LSI Technique for Code Features Extraction
2.2. Test cases’ Reduction Techniques
3. Methodology
4. Case study: Experiment and Analysis
5. A comparison Study
5.1. Case 1:
5.2. Case 2:
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보