BURT: A Chatbot for Interactive Bug Reporting

Andrian Marcus; Denys Poshyvanyk; Junayed Mahmud; Kevin Moran; Nadeeshan De Silva; Oscar Chaparro; Yang Song; Ying Zhou

RECORD

BURT: A Chatbot for Interactive Bug Reporting

Yang Song, Junayed Mahmud, Nadeeshan De Silva, Ying Zhou, Oscar Chaparro, Kevin Moran, Andrian Marcus, Denys Poshyvanyk

Software Engineering · Submitted 13 Feb 2023

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The reporters found that BURT's guidance and automated suggestions and clarifications are useful and BURT is easy to use.

how it is stated · asserted 1.00 read the record →

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arXiv ID2302.06050 (version 1)

Pith IDI464YE2T, Pith's permanent record of this paper and its review

CitationAndrian Marcus, Denys Poshyvanyk, Junayed Mahmud, Kevin Moran, Nadeeshan De Silva, Oscar Chaparro, Yang Song, Ying Zhou. "BURT: A Chatbot for Interactive Bug Reporting." arXiv:2302.06050 (2023). https://pith.science/paper/I464YE2T

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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,685 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.06 · human participants 0.96 · controlled comparison 0.05 · randomized assignment 0.02 · states quantitative result 0.41 · compares with prior results 0.06 · mentions code or data availability 0.98.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; show every role.

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 capabilities of BURT can be found at https://youtu.be/SyfOXpHYGRo

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	This paper introduces BURT, a web-based chatbot for interactive reporting of Android app bugs.	contribution 1.00	0.82	0.06	asserted 1.00
s1	BURT is designed to assist Android app end-users in reporting high-quality defect information using an interactive interface.	contribution 0.91	0.30	0.06	asserted 1.00
s2	BURT guides the users in reporting essential bug report elements, i.e., the observed behavior, expected behavior, and the steps to reproduce the bug.	method 0.72	0.38	0.04	asserted 1.00
s3	It verifies the quality of the text written by the user and provides instant feedback.	method 0.72	0.50	0.05	asserted 1.00
s4	In addition, BURT provides graphical suggestions that the users can choose as alternatives to textual descriptions.	contribution 0.56	0.62	0.03	asserted 1.00
s5	We empirically evaluated BURT, asking end-users to report bugs from six Android apps.	method 0.86	0.96	0.04	asserted 1.00
s6	The reporters found that BURT's guidance and automated suggestions and clarifications are useful and BURT is easy to use.	result 0.96	0.67	0.65	asserted 1.00
s7	BURT is an open-source tool, available at github.com/sea-lab-wm/burt/tree/tool-demo.	contribution 0.85	0.37	0.02	asserted 1.00
s8	A video showing the full capabilities of BURT can be found at https://youtu.be/SyfOXpHYGRo	contribution 0.68	0.22	0.02	asserted 0.96

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from observation or experiment 1.00.

What was examined, and what was not

sources read

arXiv listing abstract v1

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full text
figures and tables
references and citing sentences
relations to other papers

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P abstract

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S sections
T body sentences
C citations
R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper

Original 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 capabilities of BURT can be found at https://youtu.be/SyfOXpHYGRo

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