INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
The growing application of software and resource constraints in software projects development need a more accurate estimate of the cost and effort because of the importance in program planning, coordinated scheduling and resource management including the number of programming's and software design using tools and modern methods of modeling. Effectively control of investment for software development is achieved by accurate cost estimation..The results show that all three membership functions vary by 1-2 % in the effort estimation where as if compared; COCOMO 2 Effort varies by 5-10 % from Fuzzy output. The traditional method consumes a lot of time and a lot of methods are non mathematical due to which the predicted results may be irrelevant. Application/Improvements: The work has been tested on 5 projects. When the parameters for triangular function are executed, values for embedded 1, semidetached 2 are enhanced as compare to organic, semi detached 1, embedded 2. After the evaluation of trapezoidal function, values of semidetached 1 and embedded 1 are more as compare to others. Same as before, the values for embedded 1 and semidetached 2 are more in Bell membership function. Slight improvement has been seen in organic value. Similarly, for COCOMO II the results have been obtained. In the evaluation of software projects is commonly used deterministic method. But software world is totally different from the linear variables and nowadays for performance and estimation should be used nonlinear and non-probabilistic methods. In this paper, we have studied the SCE Using Fuzzy Logic (FL) and we have compared it with COCOMO model. Results of investigations show that FL is a performance model for SCE.
Keywords:
Software Cost Estimation, COCOMO, Fuzzy Logic
Cite Article:
"SURVEY ON SOFTWARE COST BY FUZZY LOGIC", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 10, page no.149 - 161, October-2019, Available :http://www.ijsdr.org/papers/IJSDR1910030.pdf
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Publication Details:
Published Paper ID: IJSDR1910030
Registration ID:191022
Published In: Volume 4 Issue 10, October-2019
DOI (Digital Object Identifier):
Page No: 149 - 161
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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