원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.9 No.11
2015.11
pp.127-136
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper tries to put various ways in which Natural Language Processing (NLP) and Software Engineering (SE) can be seen as inter-disciplinary research areas. We survey the current literature, with the aim of assessing use of Software Engineering and Natural Language Processing tools in the researches undertaken. An assessment of how various phases of SDLC can employ NLP techniques is presented. The paper also provides the justification of the use of text for automating or combining both these areas. A short research direction while undertaking multidisciplinary research is also provided.
목차
Abstract
1. Introduction
2. Literature Review
3. Discussion on Literature Review
4. NLP in SE
4.1. NLP in Software Development Life Cycle
4.2. NLP in Umbrella Activities
5. SE in NLP
5.1. Open Source Development
5.2. Closed Source Development
5.3. Software’s Quality Attributes
6. Justifying the Use of Text
7. Advantages of the Interdisciplinary Research
8. Conclusion and Future Scope
References
1. Introduction
2. Literature Review
3. Discussion on Literature Review
4. NLP in SE
4.1. NLP in Software Development Life Cycle
4.2. NLP in Umbrella Activities
5. SE in NLP
5.1. Open Source Development
5.2. Closed Source Development
5.3. Software’s Quality Attributes
6. Justifying the Use of Text
7. Advantages of the Interdisciplinary Research
8. Conclusion and Future Scope
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보