Enhanced Systematic Approach for Software Based on Cost Quality Assurance in Programming Model

Authors

  • I. Rajendra Kumar  Research Scholar, Computer Science Rayalaseema University, Kurnool, Andhra Pradesh, India
  • Dr. M. Babu Reddy  HOD, Department of Computer Science, Krishna University, Machilipatnam, Andhra Pradesh, India

Keywords:

Constructive cost model, System-of- system integration model, SLIM, COCOMO and function points.

Abstract

Improvement cost assessment is genuinely experiencing fluctuations in programming environment, because of day by day programming environmental changes, absence of subtle elements in new redeveloped advancements, frustrated client prerequisites and not considering the recyclable angle cost. Considering these issues in programming environment, cost assessment is performed. In this paper we prescribed a new programming framework i.e. Enhanced Systematic Approach, which is more efficient for helping different programming updates and creating latest software applications. The planned framework was synchronized with COCOMO and COPSEMO cost outlines with specific points of interest which will aid each segment in programming process. Our test outcomes indicate compelling points of interest in investigation of each item of software application with time support for every module.

References

  1. “Realistic Software Cost Estimation for Fractionated Space Systems”, By A Winsor Brown, Ramin Moazeni, and Barry Boehm, AIAA SPACE 2009 Conference & Exposition 14 - 17 September 2009, Pasadena, California.
  2. “Coincomo Ii”, Center For Systems And Software Engineering Coincomo Ii Product Sheet, University Of Southern California Csse.
  3. “Optimized Software Cost Estimation using Swarm Optimization”, 1D. Manikavelan, 2Dr. R. Ponnuswamy, ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) IJCST Vol. 2, Iss ue 4, Oct . - Dec. 2011.
  4. “An Empirical Validation of Software Cost Estimation Models” by CHRIS F. KEMERER, 01987 ACM OOOl-0782/87/0500-0416 750, Communications of the ACM May 1987 Volume 30 Number 5.
  5. “Confidence in software cost estimation results based on MMRE and PRED ”, by M. Korte and D. Port, PROMISE’08, Leipzig, Germany, pp. 12-13, May 2008.
  6. H K. Verma and V. Sharma, “Handling imprecision in inputs using fuzzy logic to predict effort in software developmetn,” International Advance Computing Conference IEEE, 2010.
  7. H Mittal and P. Bhatia, “A comparative of conventional effort estimation and fuzzy effort estimation based on triangular fuzzy numbers,” International Journal of Computer Science and Security, vol. 1, no. 4.
  8. Brown, O., and Eremenko, P. "Fractionated Space Architectures: A Vision for Responsive Space". 4th Responsive Space Conference: Paper No. AIAA-RS4-2006-1002, Los Angeles, CA: American Institute of Aeronautics & Astronautics, 2006.
  9. Mohammad Muhairat, Saleh Aldaajeh, Rafa E. Al-Qutaish, "The Impact of Global Software Development Factors on Effort Estimation Methods", 2010.
  10. Vahid Khatibi, Dayang N. A. Jawawi, "Software Cost Estimation Methods", A Review, CIS Journal. 2010- 2011.
  11. Barry W. Boehm, Ricardo Valerdi, "Achievements and Challenges in Cocomo-Based Software Resource Estimation", IEEE-2008.
  12. “A Comparative Study on Fuzzy Approaches for COCOMO?s Effort Estimation”, by Anupama Kaushik, A. K. Soni, and Rachna Soni, International Journal of Computer Theory and Engineering, Vol. 4, No. 6, December 2012.

Downloads

Published

2017-06-30

Issue

Section

Research Articles

How to Cite

[1]
I. Rajendra Kumar, Dr. M. Babu Reddy, " Enhanced Systematic Approach for Software Based on Cost Quality Assurance in Programming Model, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.751-756, May-June-2017.