An empirical study for assessing quality of OO code

Abstract

The research is intended to find a way to produce cheaper and higher quality software. The set of object-oriented metrics in the study was applied to hypothetical object-oriented programs for their code analysis to predict their overall quality. The set of object-oriented metrics in the study was applied, taking into account the recognized object-oriented features which they were intended to measure: encapsulation, coupling, inheritance, and polymorphism. This evaluation is used to classify the quality level of object-oriented software systems. Empirical data, collected from different application columns was then analysed using the object-oriented metrics, to support theoretical validation. However, adoption object of object-oriented metrics in numerous application domains should only take place if the metrics can be shown to be theoretically valid in the sense that they were designed to measure, and have also been validated empirically. Without such a basis, we are not able to draw meaningful conclusions from analysis of metrics data. In this paper, we consider a set of metrics for point, and then consider their empirical evaluation. Results show that the metrics could be used to provide an overall assessment of a software system, which may be helpful to managers of software development projects