关键词: 动态分析, 程序理解, 架构恢复, 依赖性分析, 特征追踪

Abstract: In the maintenance activities of large legacy systems, it is an important measure to understand the software architecture to divide the system into smaller and more manageable subsystems through clustering technology. The researches on architectural decomposition mostly focus on static structural relationships. However, due to the complexity of object-oriented systems such as polymorphism and dynamic binding existing, these structural relationships are not sufficient enough for system structure recovery. As a kind of system behavior that can be triggered and observed, feature reflects the functional requirements of a system implementation and has become the foundation of building core framework. This paper presents a combination of dynamic and static analysis approach, starting from the software features analysis, through the scenarios of the features executing and modules clustering to establish the core architecture of the system, and then analyzes the static structure to extract modules dependence, supplementing scenarios and components to the existing clusters. Two open source projects are evaluated and discussed to indicate the effectiveness and applicability of the proposed approach.

Key words: dynamic analysis, program understanding, architecture recovery, dependency analysis, feature traces