Reassessing Function Points
Author(s) -
Gavin Finnie,
G.E. Wittig,
J-M. Desharnais
Publication year - 1997
Publication title -
ajis. australasian journal of information systems/ajis. australian journal of information systems/australian journal of information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 18
eISSN - 1326-2238
pISSN - 1039-7841
DOI - 10.3127/ajis.v4i2.357
Subject(s) - weighting , function point , computer science , function (biology) , suspect , software , estimation , point (geometry) , scheme (mathematics) , sample (material) , point estimation , data mining , industrial engineering , reliability engineering , software development , statistics , mathematics , engineering , systems engineering , evolutionary biology , biology , political science , medicine , mathematical analysis , chemistry , geometry , chromatography , law , radiology , programming language
Accurate estimation of the size and development effort for software projects requires estimation models which can be used early enough in the development life cycle to be of practical value. Function Point Analysis (FPA) has become possibly the most widely used estimation technique in practice. However the technique was developed in the data processing environment of the 1970's and, despite undergoing considerable reassessment and formalisation, still attracts criticism for the weighting scoring it employs and for the way in which the function point score is adapted for specific system characteristics. This paper reviews the validity of the weighting scheme and the value of adjusting for system characteristics by studying their effect in a sample of 299 software developments. In general the value adjustment scheme does not appear to cater for differences in productivity. The weighting scheme used to adjust system components in terms of being simple, average or complex also appears suspect and should be redesigned to provide a more realistic estimate of system functionality
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