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Author Xiaoqing Liu ♦ Kane, G. ♦ Bambroo, M.
Sponsorship IEEE Comput. Soc
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2003
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Intelligent systems ♦ Alarm systems ♦ Software quality ♦ Project management ♦ Fuzzy sets ♦ Programming ♦ Software metrics ♦ Risk management ♦ Software systems ♦ Fuzzy logic
Abstract One of the main reasons behind unfruitful software development projects is that it is often too late to correct the problems by the time they are detected. It clearly indicates the need for early warning about the potential risks. In this paper, we discuss an intelligent software early warning system based on fuzzy logic using an integrated set of software metrics. It helps to assess risks associated with being behind schedule, over budget, and poor quality in software development and maintenance from multiple perspectives. It handles incomplete, inaccurate, and imprecise information, and resolve conflicts in an uncertain environment in its software risk assessment using fuzzy linguistic variables, fuzzy sets, and fuzzy inference rules. Process, product, and organizational metrics are collected or computed based on solid software models. The intelligent risk assessment process consists of the following steps: fuzzification of software metrics, rule firing, derivation and aggregation of resulted risk fuzzy sets, and defuzzification of linguistic risk variables.
Description Author affiliation: Dept. of Comput. Sci., Univ. of Missouri-Rolla, Rolla, MO, USA (Xiaoqing Liu; Kane, G.; Bambroo, M.)
ISBN 0769520383
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2003-11-05
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 267.42 kB
Page Count 7
Starting Page 32
Ending Page 38

Source: IEEE Xplore Digital Library