Write a Blog >>
ICSE 2020
Wed 24 June - Thu 16 July 2020
Thu 9 Jul 2020 07:00 - 07:12 at Baekje - I13-Testing and Debugging 1 Chair(s): Shin Hwei Tan

In Continuous Integration (CI), regression testing is constrained by the time between commits. This demands for careful selection and/or prioritization of test cases within test suites that are too large to be run entirely. To this aim, some Machine Learning (ML) techniques have been proposed, as an alternative to deterministic approaches. Two broad strategies for ML-based prioritization are learning-to-rank and what we call ranking-to-learn (i.e., reinforcement learning). Various ML algorithms can be applied in each strategy. In this paper we introduce ten of such algorithms for adoption in CI practices, and perform a comprehensive study comparing them against each other using subjects from the Apache Commons project. We analyze the influence of several features of the code under test and of the test process. The results allow to draw criteria to support testers in selecting and tuning the technique that best fits their context.

Thu 9 Jul

Displayed time zone: (UTC) Coordinated Universal Time change

07:00 - 08:00
I13-Testing and Debugging 1Demonstrations / Technical Papers / Software Engineering in Practice / Journal First at Baekje
Chair(s): Shin Hwei Tan Southern University of Science and Technology
07:00
12m
Talk
Learning-to-Rank vs Ranking-to-Learn: Strategies for Regression Testing in Continuous IntegrationTechnical
Technical Papers
Antonia Bertolino CNR-ISTI, Antonio Guerriero Università di Napoli Federico II, Breno Miranda Federal University of Pernambuco, Roberto Pietrantuono Università di Napoli Federico II, Stefano Russo Università di Napoli Federico II
07:12
12m
Talk
Debugging InputsArtifact ReusableTechnicalArtifact Available
Technical Papers
Lukas Kirschner Saarland University, Ezekiel O. Soremekun CISPA Helmholtz Center for Information Security, Andreas Zeller CISPA Helmholtz Center for Information Security
Link to publication DOI Pre-print
07:24
12m
Talk
Property-based Testing for LG Home Appliances using Accelerated Software-in-the-Loop SimulationIEEE Software Best Software Engineering in Practice AwardSEIP
Software Engineering in Practice
Mingyu Park LG Electronics, Hoon Jang Hyundai Motor Company, Taejoon Byun University of Minnesota, Yunja Choi Kyungpook National University
Pre-print
07:36
8m
Talk
Predicting Software Defect Type using Concept-based ClassificationJ1
Journal First
Sangameshwar Patil Dept. of CSE, IIT Madras and TRDDC, TCS, Balaraman Ravindran IIT Madras
07:44
8m
Talk
The Art, Science, and Engineering of Fuzzing: A SurveyJ1
Journal First
Valentin Manès CSRC, KAIST, HyungSeok Han KAIST, Choongwoo Han NAVER Corporation, Sang Kil Cha KAIST, Manuel Egele Boston University, USA, Edward Schwartz Carnegie Mellon University, Maverick Woo Carnegie Mellon University
07:52
3m
Talk
GeekyNote: A Technical Documentation Tool with Coverage, Backtracking, Traces, and CouplingsDemo
Demonstrations
Yung-Pin Cheng National Central University, Wei-Nien Hsiung National Central University, Yu-Shan Wu IsCoollab Co. Ltd, Li-Hsuan Chen IsCoollab Co. Ltd