%0 Journal Article %A Martín Agüero and Franco Madou and Gabriela Esperón and Daniela López De Luise %D 2010 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 39, 2010 %T Artificial Intelligence for Software Quality Improvement %U https://publications.waset.org/pdf/10988 %V 39 %X This paper presents a software quality support tool, a Java source code evaluator and a code profiler based on computational intelligence techniques. It is Java prototype software developed by AI Group [1] from the Research Laboratories at Universidad de Palermo: an Intelligent Java Analyzer (in Spanish: Analizador Java Inteligente, AJI). It represents a new approach to evaluate and identify inaccurate source code usage and transitively, the software product itself. The aim of this project is to provide the software development industry with a new tool to increase software quality by extending the value of source code metrics through computational intelligence. %P 399 - 404