Earticle

초록

영어

In the past, some researchers have shown that using more than one technique can reduce the risk of trusting only one method. At present many estimators use function point input in estimations based on COCOMO. This research paper includes the use and explanations related to advantages of these two “public domain” costing methods and the proposal of an integrated single model for size estimation. The problem of language dependency is well addressed and the language-weighted function point is introduced as the solution domain. Research paper demonstrates that the use of backfiring conversion factors is inherently inaccurate as there is no effective relationship between SLOC and FP. The use of homogeneous data can provide the acceptable results as established. It is demonstrated and established that the combination of physical size and functional size using the LOC and function points can affect the productivity. Using weighted function points as the main input in a COCOMO-like power function enables the effect of the programming language which enables the model to be easily adapted to other development environments. Such estimates are of very high degree of accuracy.

목차

Abstract
 1. Introduction
 2. Problem Statement
  2.1. A brief Appraisal
 3. Proposed Integrated Approach of Effort Estimation
 4. Computational Procedure
 5. Testing the Proposed Approach
  5.1. Evaluation Criteria
 6. Discussion of Results
 7. Summary/Conclusion
 References

키워드

저자

• Brajesh Kumar Singh [ Deptt. of CSE, FET, R.B.S. College, Agra, India ] Corresponding Auhtor
• Akash Punhani [ Deptt. of CSE, GLA University, Mathura, India ]
• A. K. Misra [ Deptt. of CSE, MNNIT, Allahabad, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605