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Thu 12 Nov 2020 01:37 - 01:38 at Virtual room 2 - Testing 2

The test code, just like production source code, is subject to bad design and programming practices, also known as smells. The presence of test smells in a software project may affect the quality, maintainability, and extendability of test suites making them less effective in finding potential faults and quality issues in the project's production code. In this paper, we introduce tsDetect, an automated test smell detection tool for Java software systems that uses a set of detection rules to locate existing test smells in test code. We evaluate the effectiveness of tsDetect on a benchmark of 65 unit test files containing instances of 19 test smell types. Results show that tsDetect achieves a high detection accuracy with an average precision score of 96% and an average recall score of 97%. tsDetect is publicly available, with a demo video, at: https://testsmells.github.io/

Thu 12 Nov

Displayed time zone: (UTC) Coordinated Universal Time change

01:30 - 02:00
01:30
2m
Talk
Clustering Test Steps in Natural Language toward Automating Test Automation
Industry Papers
Linyi Li University of Illinois at Urbana-Champaign, Zhenwen Li Peking University, China, Weijie Zhang Tencent, China, Jun Zhou Tencent, China, Pengcheng Wang Tencent, China, Jing Wu Tencent, China, Guanghua He Tencent, China, Xia Zeng Tencent, China, Yuetang Deng Tencent, Inc., Tao Xie Peking University
DOI
01:33
1m
Talk
PRF: A Framework for Building Automatic Program Repair Prototypes for JVM-Based Languages
Tool Demos
Ali Ghanbari The University of Texas at Dallas, Andrian Marcus University of Texas at Dallas
DOI Pre-print
01:35
1m
Talk
SOSRepair: Expressive Semantic Search for Real-World Program Repair
Journal First
Afsoon Afzal Carnegie Mellon University, Manish Motwani University of Massachusetts, Amherst, Kathryn Stolee North Carolina State University, Yuriy Brun University of Massachusetts Amherst, Claire Le Goues Carnegie Mellon University
Link to publication DOI Pre-print Media Attached
01:37
1m
Talk
tsDetect: An Open Source Test Smells Detection Tool
Tool Demos
Anthony Peruma Rochester Institute of Technology, Khalid Almalki Rochester Institute of Technology, USA, Christian D. Newman Rochester Institute of Technology, Mohamed Wiem Mkaouer Rochester Institute of Technology, Ali Ouni ETS Montreal, University of Quebec, Fabio Palomba University of Salerno
DOI Pre-print Media Attached
01:39
1m
Talk
Understanding and Automatically Detecting Conflicting Interactions between Smart Home IoT Applications
Research Papers
Rahmadi Trimananda University of California at Irvine, USA, Seyed Amir Hossein Aqajari University of California at Irvine, USA, Jason Chuang University of California at Irvine, USA, Brian Demsky University of California at Irvine, Guoqing Harry Xu University of California at Los Angeles, Shan Lu University of Chicago, USA
DOI Pre-print Media Attached File Attached
01:41
19m
Talk
Conversations on Testing 2
Paper Presentations
Afsoon Afzal Carnegie Mellon University, Anthony Peruma Rochester Institute of Technology, Linyi Li University of Illinois at Urbana-Champaign, Rahmadi Trimananda University of California at Irvine, USA, M: Corina S. Păsăreanu Carnegie Mellon University Silicon Valley, NASA Ames Research Center