ASE 2023
Mon 11 - Fri 15 September 2023 Kirchberg, Luxembourg
Thu 14 Sep 2023 14:30 - 14:42 at Room E - Debugging Chair(s): Carol Hanna

Information retrieval-based fault localization (IRFL) techniques have been proposed as a solution to identify the files that are likely to contain faults that are root causes of failures reported by users. These techniques have been extensively studied to accurately rank source files, however, none of the existing approaches have focused on the specific case of concurrent programs. This is a critical issue since concurrency bugs are notoriously difficult to identify. To address this problem, this paper presents a novel approach called BLCoiR, which aims to reformulate bug report queries to more accurately localize source files related to concurrency bugs. The key idea of BLCoiR is based on a novel knowledge graph (KG), which represents the domain entities extracted from the concurrency bug reports and their semantic relations. The KG is then transformed into the IR query to perform fault localization. BLCoiR leverages natural language processing (NLP) and concept modeling techniques to construct the knowledge graph. Specifically, NLP techniques are used to extract relevant entities from the bug reports, such as the word entities related to concurrency constructs. These entities are then linked together based on their semantic relationships, forming the KG. We have conducted an empirical study on 692 concurrency bug reports from 44 real-world applications. The results show that BLCoiR outperforms existing IRFL techniques in terms of accuracy and efficiency in localizing concurrency bugs. BLCoiR demonstrates effectiveness of using a knowledge graph to model the domain entities and their relationships, providing a promising direction for future research in this area.

Thu 14 Sep

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

13:30 - 15:00
DebuggingResearch Papers / Industry Showcase (Papers) at Room E
Chair(s): Carol Hanna University College London
13:30
12m
Talk
Coding and Debugging by Separating Secret Code toward Secure Remote Development
Industry Showcase (Papers)
Media Attached File Attached
13:42
12m
Talk
Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count
Research Papers
Xutong Ma State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China, Jiwei Yan Institute of Software at Chinese Academy of Sciences, China, Hao Zhang Institute of Software, Chinese Academy of Sciences, Jun Yan Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences
Pre-print
13:54
12m
Research paper
PERFCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis
Research Papers
Zhenlan Ji The Hong Kong University of Science and Technology, Pingchuan Ma HKUST, Shuai Wang Hong Kong University of Science and Technology
Pre-print
14:06
12m
Talk
The MAP metric in Information Retrieval Fault Localization
Research Papers
Thomas Hirsch Graz University of Technology, Birgit Hofer Graz University of Technology
Media Attached File Attached
14:18
12m
Talk
Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial ExtrapolationRecorded talk
Research Papers
Zuoyan Zhang Information Engineering University, Bei Zhou Information Engineering University, Jiangwei Hao Information Engineering University, Hongru Yang Information Engineering University, Mengqi Cui Information Engineering University, Yuchang Zhou Information Engineering University, Guanghui Song Information Engineering University, Fei Li Information Engineering University, Jinchen Xu Information Engineering University, Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing
Media Attached File Attached
14:30
12m
Talk
Information Retrieval-based Fault Localization for Concurrent ProgramsRecorded talk
Research Papers
Shuai Shao University of Connecticut, Tingting Yu University of Connecticut
Pre-print Media Attached