The Symptoms, Causes, and Repairs of Workarounds in Apache Issue Trackers (ICSE 2022 - Posters)

Who

Aoyang Yan, Hao Zhong, Daohan Song, Li Jia

Track

ICSE 2022 Posters

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When

Wed 11 May 2022 03:10 - 03:15 at ICSE Poster room - Poster Session 2 Chair(s): Elena Sherman

Abstract

In issue tracker systems, a bug report can be resolved as workaround. Since the definition of workarounds is vague, many research questions on workarounds are still open. For example, what are the symptoms of bugs which are resolved as workarounds? Why do a bug report have to be resolved as workarounds? What are the repairs and impacts of workarounds? In this paper, we conduct an empirical study to explore the above research questions. In particular, we analyzed 221 real workarounds that were collected from 88 Apache projects. Our results lead to ten findings and our answers to all the above questions. Our findings are useful to understand workarounds and to improve software projects and issue trackers.

Aoyang Yan

Shanghai Jiao Tong University

Hao Zhong

Shanghai Jiao Tong University

Daohan Song

Shanghai Jiao Tong University

Li Jia

Shanghai Jiao Tong University

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Session Program

Wed 11 May
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03:00 - 04:00	Poster Session 2Posters at ICSE Poster room Chair(s): Elena Sherman Boise State University

03:00 5m Poster		A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code Posters Ho Young Jhoo Seoul National University, Sehoon Kim Seoul National University, Woosung Song Seoul National University, Kyuyeon Park Seoul National University, DongKwon Lee Seoul National University, South Korea, Kwangkeun Yi Seoul National University, South Korea Pre-print
03:05 5m Poster		Garuda: Heap aware symbolic execution Posters Ajinkya Rajput , Dr. K. Gopinath Indian Institute of Science, Banglore
03:10 5m Poster		The Symptoms, Causes, and Repairs of Workarounds in Apache Issue Trackers Posters Aoyang Yan Shanghai Jiao Tong University, Hao Zhong Shanghai Jiao Tong University, Daohan Song Shanghai Jiao Tong University, Li Jia Shanghai Jiao Tong University
03:15 5m Poster		CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code Posters Aryaz Eghbali University of Stuttgart, Michael Pradel University of Stuttgart
03:20 5m Poster		CRISCE: Towards Generating Test Cases from Accident Sketches Posters Vuong Nguyen University of Passau, Alessio Gambi University of Passau, Jasim Ahmed University of Passau, Gordon Fraser University of Passau
03:25 5m Poster		Deep Learning-based Production and Test Bug Report Classification using Source Files Posters Misoo Kim Sungkyunkwan University, Youngkyoung Kim Sungkyunkwan University, Eunseok Lee Sungkyunkwan University

Information for Participants

Wed 11 May 2022 03:00 - 04:00 at ICSE Poster room - Poster Session 2 Chair(s): Elena Sherman

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