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2003
IEEE

An Intelligent Early Warning System for Software Quality Improvement and Project Management

9 years 11 months ago
An Intelligent Early Warning System for Software Quality Improvement and Project Management
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 o...
Xiaoqing Frank Liu, Gautam Kane, Monu Bambroo
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICTAI
Authors Xiaoqing Frank Liu, Gautam Kane, Monu Bambroo
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