학술논문

Intelligent Java Analyzer
Document Type
Conference
Source
2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08) Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08. :218-223 Sep, 2008
Subject
Components, Circuits, Devices and Systems
Robotics and Control Systems
Software
Java
Clustering algorithms
Classification algorithms
Software quality
Testing
Artificial neural networks
artificial intelligence
neural networks
software metrics
software quality
software engineering
multi layer perceptron
data mining
quality assurance
Language
Abstract
This paper presents a software metric working prototype to evaluate Java programmer's profiles. In order to automatically detect source code patterns, a Multi Layer Perceptron neural network is applied. Features determined from such patterns constitute the basis for system’s programmer profiling. Results presented here show that the proposed prototype is a confident approach for support in the software quality assurance process.