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ICSE 2020
Wed 24 June - Thu 16 July 2020
Tue 7 Jul 2020 09:10 - 10:00 at Poster Special Room - I301-Posters

Issue triage is a manual and time consuming process for both open and closed source software projects. Triagers first validate the issue reports and then find the appropriate developers or teams to solve them. In our industrial case, we automated the assignment part of the problem with a machine learning based approach. However, the automated system’s average accuracy performance is 3% below the human triagers’ performance. In our effort to improve our approach, we analyzed the incorrectly assigned issue reports and realized that many of them have attachments with them, which are mostly screen dumps. Such issue reports generally have short descriptions compared to the ones without attachments, which we consider as one of the reasons for incorrect classification. In this study, we describe our proposed approach to include this new piece of information for issue triage and present the initial results.

Tue 7 Jul

Displayed time zone: (UTC) Coordinated Universal Time change

09:10 - 10:00
09:10
50m
Poster
Bugine: a bug report recommendation system for Android apps
ICSE 2020 Posters
Ziqiang Li Southern University of Science and Technology, Shin Hwei Tan Southern University of Science and Technology
Pre-print Media Attached File Attached
09:10
50m
Poster
What disconnects Practitioner Belief and Empirical Evidence ?
ICSE 2020 Posters
Shrikanth N C North Carolina State University, Tim Menzies North Carolina State University
Media Attached File Attached
09:10
50m
Poster
FOSS Dependencies and Security: A Qualitative Study on Developers' Attitudes and Experience
ICSE 2020 Posters
Ivan Pashchenko University of Trento, Duc Ly Vu University of Trento, Fabio Massacci University of Trento
DOI Pre-print Media Attached File Attached
09:10
50m
Poster
An Exploratory Study on Improving Automated Issue Triage with Attached Screen Dumps
ICSE 2020 Posters