Optimizing query execution in large differential factbase

Differential factbase is a uniform exchangeable representation supporting efficient querying and manipulation, based on the existing concept of program facts. Such factbase is used to store relevant information of software changes. However, the existing factbase is not designed to scale. This pro...

全面介紹

Saved in:
書目詳細資料
主要作者: Foo, Chuan Sheng
其他作者: Li Yi
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2022
主題:
在線閱讀:https://hdl.handle.net/10356/156596
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Nanyang Technological University
語言: English
實物特徵
總結:Differential factbase is a uniform exchangeable representation supporting efficient querying and manipulation, based on the existing concept of program facts. Such factbase is used to store relevant information of software changes. However, the existing factbase is not designed to scale. This project explores the creation of a system which utilizes a graph database for the efficient storage of program facts. The program facts were successfully modelled as a graph data model and imported into a graph database. The system provides multiple interfaces for users to interact with the graph database either visually or through REST APIs. From benchmark results obtained, the querying engine of graph database outperformed the original querying engine of differential factbase in terms of query execution times.