A Framework for Dynamic Software Analysis & Application Performance Monitoring

The objective of this research paper is to analyze software product that requires efficient measures to accurately monitor the internal software quality, based on modular design. During the course of software development life cycle, it involves defect avoidance rather than defect removal. Software metrics have been widely used to measure internal quality attributes such as coupling and cohesion for object-oriented software systems. The metrics available for coupling measurement is divided into two major categories i) Static metrics and ii) Dynamic metrics. Static metrics can only measure the expected coupling behavior of object-oriented software and not the actual behavior. Dynamic metrics can capture the actual coupling behavior as they are evaluated from data collected during runtime. Results are shown by using N-Crunch technique to measure software performance, dependency cycles between components to achieve higher code maintainability. Lines of Code, Cyclomatic Complexity, Coupling, Nesting Depth and Rank etc.