%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