Title :
Intelligent Java Analyzer
Author :
Aguero, Martin ; Esperon, Gabriela ; Madou, Franco ; De Luise, D.L.
Author_Institution :
Aigroup, Univ. de Palermo, Buenos Aires
fDate :
Sept. 30 2008-Oct. 3 2008
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 systempsilas programmer profiling. Results presented here show that the proposed prototype is a confident approach for support in the software quality assurance process.
Keywords :
Java; multilayer perceptrons; software metrics; software quality; Java programmer profiles; intelligent Java analyzer; multilayer perceptron neural network; software metric; software quality assurance process; system programmer profiling; Computer bugs; Costs; Inspection; Intelligent robots; Java; Lab-on-a-chip; Software prototyping; Software quality; Testing; Total quality management; artificial intelligence; data mining; multi layer perceptron; neural networks; quality assurance; software engineering; software metrics; software quality;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08
Conference_Location :
Morelos
Print_ISBN :
978-0-7695-3320-9
DOI :
10.1109/CERMA.2008.51
