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Title |
Improving Software Cost Estimation with Function Points Analysis using Fuzzy Logic Method |
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Author |
Syed Zaffar Iqbal and Dr. Kashif Saghar |
| Citation |
Vol. 25 No. 7 pp. 79-86 |
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Abstract |
Function Point Analysis (FPA) is among the most generally utilized technique to assess the software cost estimation frameworks. This process speaks to the measurement of an undertaking, application, and function by its relative functional complexity.In general, it has numerous effective applications both in industry and in scholarly research. It is noticed that customary estimation methodologies can confront genuine challenges when utilized on programming building information, which is normally constrained, deficient and loosely gathered. To determine these issues composite programming models, blend of information, master judgment and fuzzy logic is proposed. It is trusted that the outcomes announced here will animate and renew the investigation of the fuzzy logic to genuine programming designing issues. In this research paper, we use Function Points and apply some new models to pick up a superior estimation of programming properties. The utilization of ideas and properties from fuzzy set hypothesis to stretch out FPA to Fuzzy FPA. Fuzzy hypothesis tries to construct a formal quantitative structure equipped for imitating the imprecision of human information. With the function points created by Fuzzy FPA, an estimate value for example, expenses/cost and software development can be more correctly determined. |
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Keywords |
Function Point Analysis (FPA), Software Cost Estimation, Fuzzy Logic, Fuzzy Function Points. |
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