KotSuite: Unit Test Generation for Kotlin Programs in Android Applications
Unit testing plays a pivotal role in safeguarding functional requirements and supporting the maintainence during the development of Android applications. The Kotlin programming language emerges in developing Android applications since Kotlin is considered due to its simplicity, safety, and interoperability with Java. It is time-consuming to manually write unit test cases for Kotlin programs. To mitigate labor costs, automated unit test generation techniques are developed. However, existing tools of unit test generation, such as EvoSuite and Randoop, are primarily optimized for traditional Java projects. This make these tools incapable of generating test cases for Kotlin projects in Android. In this paper, we introduce KotSuite, an automated tool of unit test generation for Kotlin applications in Android. KotSuite employs static analysis techniques to extract the syntactic structure of the target methods and transforms the syntactic structure into control flow representations. Then, KotSuite automatically generates a suite of test cases using a genetic algorithm and test reuse. We evaluate KotSuite on eight modules from four widely-used and open-source Kotlin projects in Android. Experimental results show that KotSuite can effectively generate high-coverage test cases with average line coverage of 66.0% and branch coverage of 60.4%. Additionally, test reuse in KotSuite can improve the efficiency of test case generation by 22%.
Mon 28 AprDisplayed time zone: Eastern Time (US & Canada) change
16:00 - 17:30 | Log Parsing, Bug Localisation, Review ComprehensionResearch Track / Early Research Achievements (ERA) at 205 Chair(s): Gabriele Bavota Software Institute @ Università della Svizzera Italiana, Coen De Roover Vrije Universiteit Brussel, Gema Rodríguez-Pérez University of British Columbia (UBC) | ||
16:00 10mTalk | Developing a Taxonomy for Advanced Log Parsing Techniques Research Track Issam Sedki Concordia University, Wahab Hamou-Lhadj Concordia University, Montreal, Canada, Otmane Ait-Mohamed Concordia University, Naser Ezzati Jivan | ||
16:10 10mTalk | GELog:A GPT-Enhanced Log Representation Method for Anomaly Detection Research Track Wenwu Xu Institute of Information Engineering, Chinese Academy of Sciences and School of Cyberspace Security, University of Chinese Academy of Sciences, Peng Wang Institute of Information Engineering，Chinese Academy of Sciences, Haichao Shi Institute of Information Engineering，Chinese Academy of Sciences, Guoqiao Zhou Institute of Information Engineering，Chinese Academy of Sciences, Junliang Yao Institute of Information Engineering，Chinese Academy of Sciences, Xiao-Yu Zhang Institute of Information Engineering, Chinese Academy of Science | ||
16:20 10mTalk | Log Parsing using LLMs with Self-Generated In-Context Learning and Self-Correction Research Track Yifan Wu Peking University, Siyu Yu The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Ying Li School of Software and Microelectronics, Peking University, Beijing, China Pre-print | ||
16:30 10mTalk | LLM-BL: Large Language Models are Zero-Shot Rankers for Bug Localization Research Track Zhengliang Li Nanjing University, Zhiwei Jiang Nanjing University, Qiguo Huang NanJing Audit University, Qing Gu Nanjing University | ||
16:40 10mTalk | Improved IR-based Bug Localization with Intelligent Relevance Feedback Research Track Pre-print | ||
16:50 6mTalk | Towards Enhancing IR-based Bug Localization Leveraging Texts and Multimedia from Bug Reports Early Research Achievements (ERA) Shamima Yeasmin University of Saskatchewan, Chanchal K. Roy University of Saskatchewan, Canada, Kevin Schneider University of Saskatchewan, Masud Rahman Dalhousie University, Kartik Mittal University of Saskatchewan, Ryder Hardy University of Saskatchewan Pre-print | ||
16:56 10mTalk | Building Bridges, Not Walls: Fairness-aware and Accurate Recommendation of Code Reviewers via LLM-based Agents Collaboration Research Track Luqiao Wang Xidian University, Qingshan Li Xidian University, Di Cui Xidian University, Mingkang Wang Xidian University, Yutong Zhao University of Central Missouri, Yongye Xu Xidian University, Huiying Zhuang Xidian University, Yangtao Zhou Xidian University, Lu Wang Xidian University | ||
17:06 10mTalk | Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories Research Track Pavlina Wurzel Goncalves University of Zurich, Pooja Rani University of Zurich, Margaret-Anne Storey University of Victoria, Diomidis Spinellis Athens University of Economics and Business & Delft University of Technology, Alberto Bacchelli University of Zurich Pre-print | ||
17:16 10mTalk | KotSuite: Unit Test Generation for Kotlin Programs in Android Applications Research Track Feng Yang Wuhan University, Qi Xin Wuhan University, Zhilei Ren Dalian University of Technology, Jifeng Xuan Wuhan University | ||
17:26 4mLive Q&A | Session's Discussion: "Log Parsing, Bug Localisation, Review Comprehension" Research Track | ||