Enhancing History-Based Concern Mining with Fine-Grained Change Analysis (CSMR2012)

In this paper, we reinforce history-based concern mining techniques with fine-grained change analysis based on tree differencing on abstract syntax trees. Source code changes are recorded as facts over source code regions according to the RDF (Resource Description Framework) data model so that the analysis can be performed in terms of factbase queries.

A Method for Analyzing Code Homology in Genealogy of Evolving Software (FASE2010)

In this paper, we propose an automated method for detecting and tracking homologous code in genealogy of evolving software using fine-grained tree differencing on source code. Such a tool would help software developers/maintainers to better understand the source code and to detect/prevent inconsistent modifications that may lead to latent errors.