Open-source projects continue to evolve resulted in so many versions. Managing, visualizing and understanding an evolving software system are challenging tasks. In this work, we apply Latent Dirichlet Allocation (LDA) to discover source code topics and study their evolution over multiple software versions. We apply LDA to all versions of the system together and then determine how the assignment metric evolves over time. We study the software evolution of two large open-source projects, JEdit and JHotDraw, over twelve versions. The results show that changes in topics across versions are due to actual software changes such as adding, updating, and removing features. Our work suggests that using LDA can open many paths in software evolution research.
목차
Abstract 1. Introduction 2. Background 3. Related Work 4. Approach and Case Study 4.1. Terminology 4.2. Systems Under Study 4.3. Preprocessing 4.4. Selecting the number of topics 4.5. The Generated Topics 4.6. JEdit Heatmap 4.7. JHotDraw Heatmap 5. Threats to Validity 6. Conclusion References
키워드
software evolutiontopic modeling
저자
Shadi Banitaan [ Computer Science and Software Engineering, University of Detroit Mercy, USA ]
Mamdouh Alenezi [ College of Computer & Information Sciences, Prince Sultan University, Saudi Arabia ]
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.9 No.5