원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.10
2015.10
pp.73-80
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Software effort and cost estimation has turned out to be the major challenge in IT industries. In this paper, different software effort and cost estimation techniques like algorithmic methods, expert judgment, analogy based estimation and soft computing methods and their various aspects are discussed. Software effort estimation is followed by cost assessment that is useful for both customers and developers. In this paper comparison between different approaches are discussed and proposed a hybrid technique for effort estimation using fuzzy logic and neural network. This will be useful to make better estimation results.
목차
Abstract
1. Introduction
1.1. Importance of Accurate Estimation
1.2. Ingredients to Accurate Estimation
2. Related Work
3. Techniques for Software Effort Estimation
3.1. Algorithmic Techniques
3.2. Non-Algorithmic Models
4. Obstacles in Software Effort Estimation
5. Comparison of Software Effort Estimation Techniques
6. Proposed Methodology
7. Conclusion and Future Scope
References
1. Introduction
1.1. Importance of Accurate Estimation
1.2. Ingredients to Accurate Estimation
2. Related Work
3. Techniques for Software Effort Estimation
3.1. Algorithmic Techniques
3.2. Non-Algorithmic Models
4. Obstacles in Software Effort Estimation
5. Comparison of Software Effort Estimation Techniques
6. Proposed Methodology
7. Conclusion and Future Scope
References
저자정보
참고문헌
자료제공 : 네이버학술정보