TY - GEN
T1 - Knowledge Graphing Git Repositories
T2 - 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2019
AU - Zhao, Yanjie
AU - Wang, Haoyu
AU - Ma, Lei
AU - Liu, Yuxin
AU - Li, Li
AU - Grundy, John
N1 - Funding Information:
Towards supplementing existing Git representations, we design and implement a prototype tool called GitGraph, which takes as input a Git project and outputs a knowledge graph specifically constructed for the project. The correctness and usefulness of GitGraph are then empirically evaluated via experimental results. Specifically, regarding the usefulness of the generated knowledge graph, we empirically show that it is capable of providing (1) an interactive visual overview of the project on which users can explore. It turns the original loose text structure into an associated physical structure. For example, researchers can visually view details of changes to a program file, e.g., to what extent it has been changed overall? (2) an interface for supporting advanced (or fine-grained) Git queries (graph query languages supported by the KG database). For example, users can leverage dedicated query scripts to search for the modification history of a given method over the graph, including when it was changed, who changed it, and what was changed?
PY - 2019/3/15
Y1 - 2019/3/15
N2 - Knowledge Graph, being able to connect information from a variety of sources, has become very famous in recent years since its creation in 2012 by Google. Researchers in our community have leveraged Knowledge Graph to achieve various purposes such as improving API caveats accessibilities, generating answers to developer questions, and reasoning common software weaknesses, etc. In this work, we would like to leverage the knowledge graph concept for helping developers and project managers to comprehend software repositories. To this end, we design and implement a prototype tool called GitGraph, which takes as input a Git repository and constructs automatically a knowledge graph associated with the repository. Our preliminary experimental results show that GitGraph can correctly generate knowledge graphs for Git projects and the generated graphs are also useful for users to comprehend the projects. More specifically, the knowledge graph, on one hand, provides a graphic interface that users can interactively explore the integrated artefacts such as commits and changed methods, while on the other hand, provides a convenient means for users to search for advanced relations between the different artefacts.
AB - Knowledge Graph, being able to connect information from a variety of sources, has become very famous in recent years since its creation in 2012 by Google. Researchers in our community have leveraged Knowledge Graph to achieve various purposes such as improving API caveats accessibilities, generating answers to developer questions, and reasoning common software weaknesses, etc. In this work, we would like to leverage the knowledge graph concept for helping developers and project managers to comprehend software repositories. To this end, we design and implement a prototype tool called GitGraph, which takes as input a Git repository and constructs automatically a knowledge graph associated with the repository. Our preliminary experimental results show that GitGraph can correctly generate knowledge graphs for Git projects and the generated graphs are also useful for users to comprehend the projects. More specifically, the knowledge graph, on one hand, provides a graphic interface that users can interactively explore the integrated artefacts such as commits and changed methods, while on the other hand, provides a convenient means for users to search for advanced relations between the different artefacts.
UR - http://www.scopus.com/inward/record.url?scp=85064179160&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064179160&partnerID=8YFLogxK
U2 - 10.1109/SANER.2019.8668034
DO - 10.1109/SANER.2019.8668034
M3 - Conference contribution
AN - SCOPUS:85064179160
T3 - SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering
SP - 599
EP - 603
BT - SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering
A2 - Shihab, Emad
A2 - Lo, David
A2 - Wang, Xinyu
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 February 2019 through 27 February 2019
ER -