TY - GEN
T1 - Integrating function point project information for improving the accuracy of effort estimation
AU - Ahmed, Faheem
AU - Bouktif, Salah
AU - Serhani, Adel
AU - Khalil, Issa
PY - 2008
Y1 - 2008
N2 - Software organizations are putting efforts to improve the accuracy of the project cost estimation. This in turn helps them to allocate resources. Software cost estimation has been an area of key interest in software engineering community. Many estimation models divided among various categories have been proposed over a period of time. Function Point (FP) is one of the useful software cost estimation methodology that was first proposed twenty-five years ago using the project repository that contained information about various aspects of software project. In the last twenty five years software development productivity has grown rapidly but the complexity weight metrics values assigned to count standard FP still remain same. This fact raises critical questions about the validity of the complexity weight values and accuracy of the estimation process. The objective of this work is to present a genetic algorithm based approach to calibrate the complexity weight metrics of FP using the project repository of International Software Benchmarking Standards Group (ISBSG) dataset. The contribution of this work shows that information reuse and integration of past project's function-point structural elements improves the accuracy of software estimation process.
AB - Software organizations are putting efforts to improve the accuracy of the project cost estimation. This in turn helps them to allocate resources. Software cost estimation has been an area of key interest in software engineering community. Many estimation models divided among various categories have been proposed over a period of time. Function Point (FP) is one of the useful software cost estimation methodology that was first proposed twenty-five years ago using the project repository that contained information about various aspects of software project. In the last twenty five years software development productivity has grown rapidly but the complexity weight metrics values assigned to count standard FP still remain same. This fact raises critical questions about the validity of the complexity weight values and accuracy of the estimation process. The objective of this work is to present a genetic algorithm based approach to calibrate the complexity weight metrics of FP using the project repository of International Software Benchmarking Standards Group (ISBSG) dataset. The contribution of this work shows that information reuse and integration of past project's function-point structural elements improves the accuracy of software estimation process.
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U2 - 10.1109/ADVCOMP.2008.42
DO - 10.1109/ADVCOMP.2008.42
M3 - Conference contribution
AN - SCOPUS:67650098211
SN - 9780769533698
T3 - Proceedings - The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008
SP - 193
EP - 198
BT - Proceedings - The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008
T2 - 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008
Y2 - 29 September 2008 through 4 October 2008
ER -