BURT: A Chatbot for Interactive Bug Reporting
Yang Song, Junayed Mahmud, Nadeeshan De Silva, Ying Zhou, Oscar, Chaparro, Kevin Moran, Andrian Marcus, Denys Poshyvanyk

TL;DR
BURT is an interactive chatbot tool designed to improve bug reporting quality for Android apps by guiding users, verifying input, and providing graphical suggestions, with positive empirical evaluation.
Contribution
This paper presents BURT, a novel web-based chatbot that enhances bug reporting through interactive guidance, verification, and graphical suggestions, improving report quality and user experience.
Findings
Users found BURT's guidance useful
BURT's suggestions improved report clarity
BURT was rated easy to use by end-users
Abstract
This paper introduces BURT, a web-based chatbot for interactive reporting of Android app bugs. BURT is designed to assist Android app end-users in reporting high-quality defect information using an interactive interface. BURT guides the users in reporting essential bug report elements, i.e., the observed behavior, expected behavior, and the steps to reproduce the bug. It verifies the quality of the text written by the user and provides instant feedback. In addition, BURT provides graphical suggestions that the users can choose as alternatives to textual descriptions. We empirically evaluated BURT, asking end-users to report bugs from six Android apps. The reporters found that BURT's guidance and automated suggestions and clarifications are useful and BURT is easy to use. BURT is an open-source tool, available at github.com/sea-lab-wm/burt/tree/tool-demo. A video showing the full…
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Taxonomy
TopicsSoftware Engineering Research · Open Source Software Innovations · Advanced Malware Detection Techniques
