This paper presents an innovative metric based on a class abstraction to capture aspects of software complexity through combinations of class characteristics. The study also used software metrics effectiveness in finding the classes in different error categories for the three versions of Eclipse, the Java-based open-source Integrated Development Environment. Many studies used Logistic regressio...

Software application families and their accompanying architectures (also referred to as product line architectures or PLAs) are a promising area in which the potential of software component reuse can be fully realized. Evolving such application families necessitates making informed architectural decisions. Among industry and research communities, it is recognized that software metrics can provi...

The most successful measurement programs are ones in which researcher, practitioner, and customer work hand in hand to meet goals and solve problems. But such collaboration is rare. The authors explore the gaps between these groups and point toward ways to bridge them. n any scientific field, measurement generates quantitative descriptions of key processes and products, enabling us to understan...

Necessity for a Productive software has been culminating and Object-Oriented Design technique is providing solution to this as it is the most powerful mechanism for developing proficient software systems. It is helpful not only in declining the cost but also in the development of high quality software systems. Software developers require accurate metrics for developing efficient software system...

entropy, software systems, structure, metric How does one measure a large software system to determine if it is "well-structured"? This report proposes a metric for doing just that, based on the concept of entropy from information theory. A tool that automatically extracts the metric from source code was built and used to compare two large software systems (each about 500,00 lines of source cod...

In this paper, we present the application of the neural network for the identification of Reusable Software modules in Procedure Oriented Software System. Metrics are used for the structural analysis of the different procedures. The proposed metrics for Procedure oriented paradigm are Cyclometric Complexity Using Mc Cabe’s Measure, Halstead Software Science Indicator, Regularity Metric, Reuse f...

For more than twenty-five years software inspections have been considered an effective and efficient method for software quality improvement [3,4,9]. The goal of inspections is to detect defect before the testing stage begins. According to the data published in the literature, software design inspections save on average 44% of the defect detection costs, and code inspections save on average 39%...

This article examines the metrics of the software science model, cyclomatic complexity, and an information flow metric of Henry and Kafura. These were selected on the basis of their popularity within the software engineering literature and the significance of the claims made by their progenitors. Claimed benefits are summarized. Each metric is then subjected to an in-depth critique. All are fou...

McCabe’s cyclomatic complexity metric is widely cited a s a useful predictor of various software attributes such a s reliability and development effort. This critique demonstrates that it is based upon poor theoretical foundations and an inadequate model of software development. The argument that the metric provides the developer with a useful engineering approximation is not borne out by the e...

Architecture-based metrics can provide valuable information on whether or not one can localize the effects of modification (such as adjusting data flows or control flows) in software and can therefore be used to prevent the changes from adversely affecting other software components. This paper proposes an architecture-centric metric using entropy for assessing structural dependencies among soft...