Paper Info
Title
JTDog: a gradle plugin for dynamic test smell detection
Abstract
BSTRACTThe concept of the test smell represents potential problems with the readability and maintainability of the test code. Common test smells focus on static aspects of the source code, such as code length and complexity. These are easy to detect and do not cause problems in terms of test execution. On the other hand, dynamic smells, which are based on test runtime behavior, lead to misunderstanding of the test results. For example, rotten green tests give developers the false impression that the test was passed without any problems, even though the test was poorly executed. Therefore, we should detect dynamic smells and take countermeasures as early as possible through the development. In this paper, we introduce JTDog, a Gradle plugin for dynamic smell detection. JTDog has high portability due to its integration into the build tool. We applied JTDog to 150 projects on GitHub and confirmed that the JTDog plugin has high portability. In addition, JTDog detected 958 dynamic smells in 55 projects. JT-Dog is available at https://github.com/kusumotolab/JTDog, and the demo video is available at https://youtu.be/t374HYMCavI.
Year
DOI
Venue
2021
10.1109/ASE51524.2021.9678529
Automated Software Engineering
Keywords
DocType
Citations 
software testing, test smell, Gradle plugin, build tool, dynamic analysis
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Masayuki Taniguchi100.34
Shinsuke Matsumoto220533.53
Shinji Kusumoto31811137.88