Intelligent Java Analyzer

Author

Aguero, Martin ; Esperon, Gabriela ; Madou, Franco ; De Luise, D.L.

Author_Institution

Aigroup, Univ. de Palermo, Buenos Aires

fYear

2008

fDate

Sept. 30 2008-Oct. 3 2008

Firstpage

218

Lastpage

223

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08

Conference_Location

Morelos

Print_ISBN

978-0-7695-3320-9

Type

conf

DOI

10.1109/CERMA.2008.51

Filename

4641074

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3036312