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ASE 2020
Mon 21 - Fri 25 September 2020 Melbourne, Australia
Thu 24 Sep 2020 08:00 - 08:20 at Kangaroo - Bugs and Automated Repair Chair(s): Jifeng Xuan

Strings play many roles in programming because they often contain complex and semantically rich information. For example, programmers use strings to filter inputs via regular expression matching, to express the names of program elements access through some form of reflection, to embed code written in another formal language, and to assemble textual output produced by a program. The omnipresence of strings leads to a wide range of mistakes that developers may make, yet little is currently known about these mistakes. The lack of knowledge about string-related bugs leads to developers repeating the same mistakes again and again, and to poor support for finding and fixing such bugs. This paper presents the first empirical study of the root causes, consequences, and other properties of string-related bugs. We systematically study a diverse set of projects written in JavaScript, a language where strings play a particularly important role. Our findings include (i) that many string-related mistakes are caused by a recurring set of root cause patterns, such as incorrect string literals and regular expressions, (ii) that string-related bugs have a diverse set of consequences, including incorrect output or silent omission of expected behavior, (iii) that string-related bugs occur across all parts of applications, including the core components, and (iv) that almost none of these bugs are detected by existing static analyzers. Our findings not only show the importance and prevalence of string-related bugs, but they help developers to avoid common mistakes and tool builders to tackle the challenge of finding and fixing string-related bugs.

Presentation Slides (ase20-main-403-Eghbali.pdf)2.91MiB

Thu 24 Sep

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08:00 - 09:00
Bugs and Automated RepairResearch Papers at Kangaroo
Chair(s): Jifeng Xuan Wuhan University
No Strings Attached: An Empirical Study of String-related Software Bugs
Research Papers
Aryaz Eghbali University of Stuttgart, Michael Pradel University of Stuttgart, Germany
Pre-print File Attached
Research paper
Automated Patch Correctness Assessment: How Far are We?
Research Papers
Shangwen Wang National University of Defense Technology, Ming Wen Huazhong University of Science and Technology, China, Bo Lin National University of Defense Technology, Hongjun Wu National University of Defense Technology, Yihao Qin National University of Defense Technology, Deqing Zou Huazhong University of Science and Technology, Xiaoguang Mao National University of Defense Technology, Hai Jin Huazhong University of Science and Technology
DOI Pre-print Media Attached
Research paper
Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair
Research Papers
Haoye Tian University of Luxembourg, Kui Liu University of Luxembourg, Luxembourg, Abdoul Kader Kaboré University of Luxembourg, Anil Koyuncu University of Luxembourg, Luxembourg, Li Li Monash University, Australia, Jacques Klein University of Luxembourg, Luxembourg, Tegawendé F. Bissyandé University of Luxembourg, Luxembourg