| dc.contributor.author |
Sharma, Yashvardhan |
|
| dc.contributor.author |
Arora, Ritu |
|
| dc.date.accessioned |
2023-01-16T11:23:09Z |
|
| dc.date.available |
2023-01-16T11:23:09Z |
|
| dc.date.issued |
2021 |
|
| dc.identifier.uri |
https://dl.acm.org/doi/abs/10.1145/3451471.3451479 |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8510 |
|
| dc.description.abstract |
A significant role is played by visualization of complex projects as graphs with nodes and edges in the area of software engineering. A graphical visualization of the whole project is the best way to understand it as a whole and effectively comprehend the dependencies between the participating entities. Graph databases are always easy to understand and work with, when it comes to complex projects. Leveraging the concepts of graph database for software engineering education, plagiarism detection, component evaluation etc. can be accomplished. This paper shows how to make use of a graph database obtained from a Java project for plagiarism detection. Graph databases along with graph algorithms have great applications in the field of software testing, plagiarism detection, partial evaluation and many more. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
ACM Digital Library |
en_US |
| dc.subject |
Computer Science |
en_US |
| dc.subject |
JavaRelationshipGraphs (JRG) |
en_US |
| dc.subject |
Plagiarism detection |
en_US |
| dc.subject |
Neo4j Graph Databases |
en_US |
| dc.title |
Application of Java Relationship Graphs (JRG) to plagiarism detection in Java Projects: A Neo4j Graph Database Approach |
en_US |
| dc.type |
Article |
en_US |