Exploring Defect Data with Network Visualization

被引:0
|
作者
Bunmapob, Pantipa [1 ]
Limpiyakorn, Yachai [1 ]
机构
[1] Chulalongkorn Univ, Dept Comp Engn, Bangkok 10330, Thailand
关键词
social network analysis; network centrality; defect analysis; software testing; process improvement;
D O I
10.1109/SEAI55746.2022.9832052
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Jira software is agile project management solutions, originally designed as a bug and issue tracker. Searching for issues or defect information can be performed by Jira Query Language (JQL). However, querying a data repository simply returns the specified data and information. In this work, we present an approach of network visualization to uncover relationships and communications among actors such as software features, defects, and staff. The technique of social network analysis is applied for analyzing the defects collected from a banking software project. And Gephi is used as a tool for generating a network of specified actors as nodes and their linkages. The approach of visual network analysis is practical and provides insights in defect analysis essential for the proactive software development process.
引用
收藏
页码:204 / 208
页数:5
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