Thu 18 Jul 2024 10:30 - 11:00 at Lounge - Poster Session 2

Fault Localization (FL), in which a developer seeks to identify which part of the code is malfunctioning and needs to be fixed, is a recurring challenge in debugging. To reduce developer burden, many automated FL techniques have been proposed. However, prior work has noted that existing techniques fail to provide rationales for the suggested locations, hindering developer adoption of these techniques. With this in mind, we propose AutoFL, a Large Language Model (LLM)-based FL technique that generates an explanation of the bug along with a suggested fault location. AutoFL prompts an LLM to use function calls to navigate a repository, so that it can effectively localize faults over a large software repository and overcome the limit of the LLM context length. Extensive experiments on 798 real-world bugs in Java and Python reveal AutoFL improves method-level acc@1 by up to 233.3% over baselines. Furthermore, developers were interviewed on their impression of \name-generated explanations, showing that developers generally liked the natural language explanations of AutoFL, and that they preferred reading a few, high-quality explanations instead of many.

Thu 18 Jul

Displayed time zone: Brasilia, Distrito Federal, Brazil change

10:30 - 11:00
Poster Session 2Posters at Lounge
10:30
30m
Poster
DyPyBench: A Benchmark of Executable Python Software
Posters
Islem BOUZENIA University of Stuttgart, Bajaj Piyush Krishan University of Stuttgart, Michael Pradel University of Stuttgart
10:30
30m
Poster
Shadows in the Interface: A Comprehensive Study on Dark Patterns
Posters
Liming Nie Nanyang Technological University, Yangyang Zhao Zhejiang Sci-Tech University, Chenglin Li Zhejiang Sci-Tech University, Xuqiong Luo Changsha University of Science and Technology, Yang Liu Nanyang Technological University
10:30
30m
Poster
Do Large Language Models Recognize Python Identifier Swaps in their Generated Code?
Posters
Sagar Bhikan Chavan IIT Gandhinagar, Shouvick Mondal IIT Gandhinagar
DOI Pre-print Media Attached File Attached
10:30
30m
Poster
Understanding Developers' Discussions and Perceptions on Non-Functional Requirements: The Case of the Spring Ecosystem
Posters
Anderson Oliveira Pontifical Catholic University of Rio de Janeiro (PUC-Rio), João Lucas Correia Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Wesley Assunção North Carolina State University, Juliana Alves Pereira Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rafael de Mello Federal University of Rio de Janeiro (UFRJ), Daniel Coutinho Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Caio Barbosa Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Paulo Vítor C. F. Libório Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Alessandro Garcia Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
10:30
30m
Poster
ProveNFix: Temporal Property guided Program Repair
Posters
Yahui Song National University of Singapore, Xiang Gao Beihang University, Wenhua Li National University of Singapore, Wei-Ngan Chin National University of Singapore, Abhik Roychoudhury National University of Singapore
10:30
30m
Poster
PBE-based Selective Abstraction and Refinement for Efficient Property Falsification of Embedded Software
Posters
Yoel Kim Kyungpook National University, Yunja Choi Kyungpook National University
10:30
30m
Poster
A Transferability Study of Interpolation-Based Hardware Model Checking to Software Verification
Posters
Dirk Beyer LMU Munich, Po-Chun Chien LMU Munich, Marek Jankola LMU Munich, Nian-Ze Lee LMU Munich
DOI Media Attached
10:30
30m
Poster
Evaluating and Improving ChatGPT for Unit Test Generation
Posters
Zhiqiang Yuan Fudan University, Mingwei Liu Fudan University, Shiji Ding Fudan University, Kaixin Wang Fudan University, Yixuan Chen Yale University, Xin Peng Fudan University, Yiling Lou Fudan University
10:30
30m
Poster
Testing AI Systems Leveraging Graph Perturbation
Posters
Zhaorui Yang University of California, Riverside, Haichao Zhu Tencent America, Qian Zhang University of California, Riverside
10:30
30m
Poster
Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning
Posters
Aashish Yadavally University of Texas at Dallas, Yi Li University of Texas at Dallas, Tien N. Nguyen University of Texas at Dallas
10:30
30m
Poster
Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example
Posters
Malinda Dilhara University of Colorado Boulder, Abhiram Bellur University of Colorado Boulder, Timofey Bryksin JetBrains Research, Danny Dig University of Colorado Boulder, JetBrains Research
10:30
30m
Poster
A Deep Dive into Large Language Models for Bug Fixing
Posters
Soneya Binta Hossain University of Virginia, Nan Jiang Purdue University, Qiang Zhou Amazon Web Services, Xiaopeng LI Amazon Web Services, Wen-Hao Chiang Amazon Web Services, Yingjun Lyu Amazon Web Services, Hoan Nguyen Amazon Web Services, Omer Tripp Amazon Web Services
10:30
30m
Poster
A Quantitative and Qualitative Evaluation of LLM-based Explainable Fault Localization
Posters
Sungmin Kang Korea Advanced Institute of Science and Technology, Gabin An Korea Advanced Institute of Science and Technology, Shin Yoo Korea Advanced Institute of Science and Technology
10:30
30m
Poster
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion
Posters
Bolun Li Shandong Normal University, Zhihong Sun Shandong Normal University, Tao Huang Shandong Normal University, Hongyu Zhang Chongqing University, Yao Wan Huazhong University of Science and Technology, Chen Lyu Shandong Normal University, Ge Li Peking University, Zhi Jin Peking University

Information for Participants
Thu 18 Jul 2024 10:30 - 11:00 at Lounge - Poster Session 2
Info for room Lounge:

This room is conjoined with the Foyer to provide additional space for the coffee break, and hold poster presentations throughout the event.