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MSR 2018
Mon 28 - Tue 29 May 2018 Gothenburg, Sweden
co-located with * ICSE 2018 *
Tue 29 May 2018 14:00 - 14:17 at E3 room - Search and Traceability Chair(s): Sonia Haiduc

Locating bugs in industry-size software systems is time consuming and challenging. An automated approach for assisting the process of tracing from bug descriptions to relevant source code benefits developers. A large body of previous work aims to address this problem and demonstrates considerable achievements. Most existing approaches focus on the key challenge of improving techniques based on textual similarity to identify relevant files. However, there exists a lexical gap between the natural language used to formulate bug reports and the formal source code and its comments. To bridge this gap, state-of-the-art approaches contain a component for analyzing bug history information to increase retrieval performance. In this paper, we propose a novel approach TraceScore that also utilizes projects’ requirements information and explicit dependency trace links to further close the gap in order to relate a new bug report to defective source code files. Our evaluation on more than 13,000 bug reports shows, that TraceScore significantly outperforms two state-of-the-art methods. Further, by integrating TraceScore into an existing bug localization algorithm, we found that TraceScore significantly improves retrieval performance by 49% in terms of mean average precision (MAP).

Tue 29 May
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14:00 - 15:30: Search and TraceabilityTechnical Papers at E3 room
Chair(s): Sonia HaiducFlorida State University
14:00 - 14:17
Analyzing Requirements and Traceability Information to Improve Bug Localization
Technical Papers
A: Michael RathTechnische Universität Ilmenau, A: David LoSingapore Management University, A: Patrick MäderTechnische Universität Ilmenau
DOI Pre-print
14:17 - 14:34
Towards Extracting Web API Specifications from Documentation
Technical Papers
A: Jinqiu Yang , A: Erik WitternIBM Research, A: Annie T.T. YingEquitySim, A: Julian DolbyIBM Thomas J. Watson Research Center, A: Lin TanUniversity of Waterloo
14:34 - 14:51
Evaluating How Developers Use General-Purpose Web-Search for Code Retrieval
Technical Papers
A: Md Masudur RahmanUniversity of Virginia, USA, A: Jed BarsonUniversity of Virginia, A: Sydney Paul , A: Joshua Kayani , A: Federico Andrés Lois , A: Sebastián Fernandez Quezada , A: Chris ParninNCSU, A: Kathryn StoleeNorth Carolina State University, A: Baishakhi RayColumbia University, New York
14:51 - 15:08
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
Technical Papers
A: Pengcheng Yin, A: Bowen DengCarnegie Mellon University, A: Edgar ChenCarnegie Mellon University, A: Bogdan VasilescuCarnegie Mellon University, A: Graham NeubigCarnegie Mellon University
15:08 - 15:15
A Search System for Mathematical Expressions on Software Binaries
Technical Papers
DOI Pre-print
15:15 - 15:30
Discussion phase
Technical Papers