Feature toggles are conditional variables for controlling the flow of program execution. They enable developers to control feature states, allowing the release of unfinished features to a limited group of users while preserving overall software functionality. Furthermore, the absence of comprehensive best practices, guidelines, or coding standards for feature toggle usage often results in improper implementation, causing code quality issues. Although certain feature toggle usage patterns are prone to toggle-smells, there is no tool as of today for software engineers to detect toggle usage patterns from the source code. In this paper, we present a tool TS-Detector that detects five different toggle usage patterns across ten popular open-source software projects in six different programming languages. We conducted manual evaluation and results show that true positive rate of detecting Spread, Nested, and Dead toggles are 80%, 86.4%, and 66.6% respectively and the true negative rate of Mixed and Enum usages was 100%. The tool can be downloaded from the GitHub repository 1 and can be used following the instructions provided there. The video demonstration can be viewed from the link2 shared.
Tue 24 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
16:00 - 17:40 | MSR 2Journal First / Ideas, Visions and Reflections / Research Papers / Demonstrations at Cosmos 3C Chair(s): DongGyun Han Royal Holloway, University of London | ||
16:00 10mTalk | Introducing Repository Stability Ideas, Visions and Reflections Giuseppe Destefanis Brunel University of London, Silvia Bartolucci UCL, Daniel Graziotin University of Hohenheim, Rumyana Neykova Brunel University London, Marco Ortu University of Cagliari Pre-print | ||
16:10 20mTalk | Scientific Open-Source Software Is Less Likely To Become Abandoned Than One Might Think! Lessons from Curating a Catalog of Maintained Scientific Software Research Papers Addi Malviya-Thakur The University of Tennessee, Knoxville / Oak Ridge National Laboratory, Reed Milewicz Sandia National Laboratories, Mahmoud Jahanshahi University of Tennessee, Lavinia Francesca Paganini Eindhoven University of Technology, Bogdan Vasilescu Carnegie Mellon University, Audris Mockus University of Tennessee Link to publication DOI | ||
16:30 20mTalk | Who Will Stop Contributing to OSS Projects? Predicting Company Turnover Based on Initial Behavior Research Papers Mian Qin Beijing Institute of Technology, Yuxia Zhang Beijing Institute of Technology, Klaas-Jan Stol Lero; University College Cork; SINTEF Digital , Hui Liu Beijing Institute of Technology DOI | ||
16:50 20mTalk | An empirical study of token-based micro commits Journal First Masanari Kondo Kyushu University, Daniel M. German University of Victoria, Yasutaka Kamei Kyushu University, Naoyasu Ubayashi Waseda University, Osamu Mizuno Kyoto Institute of Technology | ||
17:10 10mTalk | TS-Detector : Detecting Feature Toggle Usage Patterns Demonstrations Md Tajmilur Rahman Gannon University, Mengzhe Fei University of Saskatchewan; Vendasta, Tushar Sharma Dalhousie University, Chanchal K. Roy University of Saskatchewan | ||
17:20 20mTalk | Impact of Request Formats on Effort Estimation: Are LLMs Different than Humans? Research Papers Gül Calikli University of Glasgow, Mohammed Alhamed Applied Behaviour Systems LTD (Hexis), United Kingdom DOI |
Cosmos 3C is the third room in the Cosmos 3 wing.
When facing the main Cosmos Hall, access to the Cosmos 3 wing is on the left, close to the stairs. The area is accessed through a large door with the number “3”, which will stay open during the event.