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ICSE 2019
Sat 25 - Fri 31 May 2019 Montreal, QC, Canada
Thu 30 May 2019 11:30 - 11:50 at Place du Canada - Software Analytics Chair(s): Christian Bird

Most modern Issue Tracking Systems (ITSs) for open source software (OSS) projects allow users to add comments to issues. Overtime, these comments accumulate into discussion threads embedded with rich information about the software project, which can potentially satisfy diverse needs of OSS stakeholders. However, discovering and retrieving relevant information from the discussion threads is a challenging task. In this paper, we address this challenge by identifying the information types presented in comments of OSS issue discussions. Through qualitative content analysis of 15 complex issue threads across three projects hosted on GitHub, we uncovered 16 information types and created a labeled corpus containing 4656 sentences. Our investigation of supervised, automated classification techniques indicated that, when prior knowledge about the issue is available, Random Forest can effectively detect most sentence types using conversational features such as the sentence length and its position. When classifying sentences from new issues, Logistic Regression can yield satisfactory performance using textual features for certain information types, while falling short on others. Our work represents a nontrivial first step towards tools and techniques for identifying and obtaining the rich information recorded in the ITSs to support various software engineering activities and to satisfy diverse needs of OSS stakeholders.

Thu 30 May
Times are displayed in time zone: (GMT-04:00) Eastern Time (US & Canada) change

11:00 - 12:30: Papers - Software Analytics at Place du Canada
Chair(s): Christian BirdMicrosoft Research
icse-2019-Software-Engineering-in-Practice11:00 - 11:30
Tim MenziesNorth Carolina State University
icse-2019-Technical-Papers11:30 - 11:50
Deeksha AryaMcGill University, Cheryl WangMcGill University, Jin L.C. GuoMcGill University, Jinghui ChengPolytechnique Montreal
DOI Pre-print
icse-2019-Journal-First-Paper11:50 - 12:00
Qiao Huang, Xin XiaMonash University, David LoSingapore Management University, Gail MurphyUniversity of British Columbia
icse-2019-Journal-First-Paper12:00 - 12:10
Davide FalessiCalifornia Polytechnic State University, Justin RollCal Poly, USA, Jin L.C. GuoMcGill University, Jane Cleland-HuangUniversity of Notre Dame
icse-2019-New-Ideas-and-Emerging-Reults12:10 - 12:20
Michele TufanoCollege of William and Mary, Hitesh SajnaniMicrosoft , Kim HerzigTools for Software Engineers, Microsoft
icse-2019-Paper-Presentations12:20 - 12:30