DocumentCode :
2647080
Title :
Assessing the fuzziness of general system characteristics in estimating software size
Author :
Yau, Chuk ; Tsoi, Raymond H L
Author_Institution :
Software Quality Inst., Griffith Univ., Brisbane, Qld., Australia
fYear :
1994
fDate :
29 Nov-2 Dec 1994
Firstpage :
189
Lastpage :
193
Abstract :
Function point analysis (FPA) is a widely used method for estimating software size. However, there are subjective elements involved in the process of function point assessment. The single estimate given by FPA does not show the confidence interval. Therefore, there is no way to assess the confidence level of the estimate. The paper introduces a fuzzified function point analysis (FFPA) model to help software size estimators to express their judgment and use fuzzy B spline membership function (BMF) to derive their assessment values. Through a case study for an inhouse software development department, the paper presents the experiences of using FFPA to estimate the software size and compares it with the conventional FPA
Keywords :
fuzzy logic; software cost estimation; splines (mathematics); BMF; FFPA model; assessment values; case study; confidence interval; function point assessment; fuzzified function point analysis; fuzziness assessment; fuzzy B spline membership function; general system characteristics; inhouse software development department; software size estimation; software size estimators; Cities and towns; Computer languages; Data communication; Fuzzy logic; Manuals; Size measurement; Software measurement; Software quality; Software systems; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-2404-8
Type :
conf
DOI :
10.1109/ANZIIS.1994.396923
Filename :
396923
Link To Document :
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