Abstract: The present invention provides a method and system for detecting a partial commit of software. A dependency information of the software is extracted from a version history and a bug database. A dimensional matrix containing a set of commit, and relationship information with a set of files with each commit is created from the dependency information. A centrality matrix is computed by performing a first set of matrix transformations on the dimensional matrix. A set of missing files of a partial commit, is identified by performing a second set of matrix transformations on the centrality matrix and a file vector, the file vector including a file dependency information of the partial commit.

Abstract: The technique relates to a system and method for estimating an impact of changing one or more source files in a software based on a clone dependency graph. This technique involves extracting the source files from a repository and detecting code cones present in the source files. After detecting the code clones the clone dependency graph is created. Several graph metrics are calculated and applied to the clone dependency graph to estimate the impact of changing a source file on other source files of the software. Finally, the output is visualized with the help of graph visualization technique.

Abstract: The present invention provides a method and system for detecting a partial commit of software. A dependency information of the software is extracted from a version history and a bug database. A dimensional matrix containing a set of commit, and relationship information with a set of files with each commit is created from the dependency information. A centrality matrix is computed by performing a first set of matrix transformations on the dimensional matrix. A set of missing files of a partial commit, is identified by performing a second set of matrix transformations on the centrality matrix and a file vector, the file vector including a file dependency information of the partial commit.

Abstract: The technique relates to a system and method for estimating an impact of changing one or more source files in a software based on a clone dependency graph. This technique involves extracting the source files from a repository and detecting code cones present in the source files. After detecting the code clones the clone dependency graph is created. Several graph metrics are calculated and applied to the clone dependency graph to estimate the impact of changing a source file on other source files of the software. Finally, the output is visualized with the help of graph visualization technique.