  Software engineering and information systems practices seek ultimately to
create the flawless product. One of the tools used to improve the quality of
software development is the use of metrics. In this paper, metrics retrieved
from open source software were analyzed for quality attributes. Defect density
is considered a strong indication of the quality of software product. Few
studies have taken into consideration the density of defects while looking into
quality of software and proneness to defects. Analysis of this study has shown
that defect density is relevant to different developers and different product
sizes. Thus, open source project has shown to have low defect density and the
larger the product the lower the defect density is. In addition, this study has
shown that there are different metrics that correlate with each other
indicating that some of these metrics have conceptual and practical relevance
to each other. Another relationship was tested between the number of bugs and
the metrics. Results indicated that most attributes had positive correlation
with the number of bugs with exception to coupling between cohesion among
methods of class.
