Cleman: Comprehensive Clone Group Evolution Management

Recent research results have shown more benefits of the management of code clones, rather than detecting and removing them. However, existing management approaches for code clone group evolution are still ad hoc, unsatisfactory, and limited. In this paper, we introduce a novel method for comprehensive code clone group management in evolving software. The core of our method is Cleman, an algorithmic framework that allows for a systematic construction of efficient and accurate clone group management tools. Clone group management is rigorously formulated by a formal model, which provides the foundation for Cleman framework. We use Cleman framework to build a clone group management tool that is able to detect high-quality clone groups and efficiently manage them when the software evolves. We also conduct an empirical evaluation on real-world systems to show the flexibility of Cleman framework and the efficiency, completeness, and incremental updatability of our tool.