As the increase of software size, developers depend on issue tracking systems and researchers attempt to design automatic bug triage approaches. To simulate the process of manual triage where managers make triage after reading descriptions of bug reports, prior approaches typically use natural language processing (NLP) for text understanding. Although the technical choice is straightforward, this technical choice is not built on solid empirical evidences. In this paper, we explore the impact of textual features in bug triage. By enabling and disabling the textual features of a state-of-the-art approach, we analyze their impacts on assigning thousands bug reports of six widely used open source projects. Our result shows that instead of improving it, textual features in fact reduce the effectiveness. In particular, after we turn off its textual features, the f-scores of the baseline approach are improved by 8%. After manual inspection, we find two reasons to explain our result: (1) classic NLP techniques are insufficient to analyze bug reports, because they are not pure natural language texts and contain other elements (e.g., code samples); and (2) some bug reports are poorly written. Our findings reveal a strong need and sufficient opportunities to explore more advanced techniques to handle these complicated elements in bug reports.
Wed 17 NovDisplayed time zone: Hobart change
20:00 - 21:00 | LBR + DS Poster (1) (Wed 07:00 - 10:00)Doctoral Symposium / Late Breaking Results at Kangaroo Chair(s): Maria Spichkova RMIT University, Australia | ||
20:00 2mTalk | Time-Aware Coverage Criteria for Testing of AI-Enabled Hybrid Control Systems Late Breaking Results Zhenya Zhang Kyushu University, Deyun Lyu Kyushu university, Paolo Arcaini National Institute of Informatics
, Lei Ma University of Alberta, Ichiro Hasuo National Institute of Informatics, Japan, Jianjun Zhao Kyushu University | ||
20:02 2mTalk | Metamorphic Testing on Multi-module UAV Systems Late Breaking Results Rui Li Swinburne University of Technology, Huai Liu Swinburne University of Technology, Guannan Lou Macquarie University, Xi Zheng Macquarie University, Xiao Liu School of Information Technology, Deakin University, Tsong Yueh Chen Swinburne University of Technology | ||
20:04 2mTalk | Quality analysis of mobile applications with special focus on security aspects Doctoral Symposium Kristiina Rahkema University of Tartu Pre-print | ||
20:06 2mTalk | Semi-automated Cross-Component Issue Management and Impact Analysis Doctoral Symposium Sandro Speth Institute of Software Engineering, University of Stuttgart File Attached | ||
20:08 2mTalk | Cross-Lingual Transfer Learning Framework for Program Analysis Doctoral Symposium Zhiming Li Nanyang Technological University, Singapore | ||
20:10 2mTalk | Decoupling Server and Client Code Through Cloud-Native Domain-Specific Functions Late Breaking Results José Miguel Pérez-Álvarez NAVER LABS Europe, Adrian Mos NAVER LABS Europe, Benjamin V. Hanrahan Pennsylvania State University, Iyadunni J. Adenuga Pennsylvania State University | ||
20:12 2mTalk | Tackling Flaky Tests: Understanding the Problem and Providing Practical Solutions Doctoral Symposium Martin Gruber BMW Group, University of Passau File Attached | ||
20:14 2mTalk | Effectively Analyzing Evolving Software with Differential Facts Doctoral Symposium Xiuheng Wu Nanyang Technological University File Attached | ||
20:16 2mTalk | Automatically Annotating Sentences for Task-specific Bug Report Summarization Late Breaking Results Akalanka Galappaththi University of Alberta, John Anvik University of Lethbridge, Rafat Bin Islam University of Lethbridge | ||
20:18 2mTalk | Genetic Optimisation of C++ Applications Late Breaking Results Rafail Giavrimis Turing Intelligence Technology, Alexis Butler Turing Intelligence Technology, Constantin Cezar Petrescu University of Surrey, Michail Basios Turing Intelligence Technology, Santanu Dash University of Surrey, UK | ||
20:20 2mTalk | Revisiting Textual Feature of Bug-Triage Approach Late Breaking Results | ||
20:22 2mTalk | Training Automated Test Oracles to Identify Semantic Bugs Doctoral Symposium Charaka Geethal Monash University File Attached | ||
20:24 2mTalk | Automated Approach for System-level Testing of Unmanned Aerial Systems Doctoral Symposium Hassan Sartaj National University of Computer and Emerging Sciences, Islamabad, Pakistan File Attached | ||
20:26 2mTalk | How can Subgroup Discovery help AIOps? Doctoral Symposium Youcef REMIL INSA Lyon, INFOLOGIC, Anes Bendimerad Infologic, Mehdi Kaytoue INFOLOGIC, Jean-François Boulicaut INSA Lyon Pre-print | ||
20:28 2mTalk | Gas Estimation and Optimization for Smart Contracts on Ethereum Doctoral Symposium Chunmiao Li National Institute of Informatics Pre-print | ||
20:30 2mTalk | Fuzzing Methods Recommendation Based on Feature Vectors Doctoral Symposium Chi Zhang Jiangsu University File Attached | ||