원문정보
초록
영어
Object oriented technology accommodates a set of relationships that affect the quality of coding and, therefore, output programs. In this paper, we present a hybrid technique that relies on the paradigm of dependency graph to detect the impact of change over time on object oriented relationships such as: inheritance, class size, coupling and cohesion. Our goal is to provide a systematic framework to measure how rate of change affects such features in a concurrent environment. The answer of such question takes place in code analysis and model checking of concurrent programs. The contribution of this research is to study the static and dynamic aspects that contribute in enhancing the quality of coded programs, which implies increasing maintainability. In order to satisfy our research goal, we performed experiments on a collection of concurrent Java programs, analyzed them, and then concluded the behavior of these programs over time. The results indicated that there is a significant positive correlation between some of these features and rate of change.
목차
1. Introduction
2. Related Work
3. Background and Problem Definition
3.1. Dependency Graph
3.2. Model Checking
3.3. Research Questions
4. Framework
4.1. Code Analysis
4.2. Model Analysis
5. Experiments and Results
5.1. Experimental Collection
5.2. Experimental Setup
5.3. Results
6. Discussion
6.1. Inheritance vs. Rate of Change
6.2. Coupling vs. Rate of Change
6.3. Cohesion vs. Rate of Change
6.4. Impact of Class Attributes Metrics on Rate of Change
7. Conclusion
References