@article{(Open Science Index):https://publications.waset.org/pdf/10988,
	  title     = {Artificial Intelligence for Software Quality Improvement},
	  author    = {Martín Agüero and  Franco Madou and  Gabriela Esperón and  Daniela López De Luise},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {3},
	  year      = {2010},
	  pages     = {399 - 404},
	  ee        = {https://publications.waset.org/pdf/10988},
	  url   	= {https://publications.waset.org/vol/39},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 39, 2010},
	}