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Fuzzy Rule Base System for Software Classification

Authors: Adnan Shaout; Juan C. Garcia;

Fuzzy Rule Base System for Software Classification

Abstract

Given the central role that software development plays in the delivery and application of information technology, managers have been focusing on process improvement in the software development area. This improvement has increased the demand for software me asures, or metrics to manage the process. This metrics provide a quantitative basis for the development and validation of models during the software development process. In this paper a fuzzy rule -based system will be developed to classify java application s using object oriented metrics. The system will contain the following features: Automated method to extract the OO metrics from the source code, Default/base set of rules that can be easily configured via XML file so companies, developers, team leaders, etc, can modify the set of rules according to their needs, Implementation of a framework so new metrics, fuzzy sets and fuzzy rules can be added or removed depending on the needs of the end user, General classification of the software application and fin e-grained classification of the java classes based on OO metrics, and Two interfaces are provided for the system: GUI and command.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold