In this paper, we introduce a new fully automated approach to reproduce crashes from Android bug reports that addresses these limitations.
Jan 18, 2023 · Abstract:As part of the process of resolving issues submitted by users via bug reports, Android developers attempt to reproduce and observe ...
Our approach accomplishes this by leveraging natural language process techniques to more holistically and accurately analyze the natural language in Android bug ...
In this paper, we proposed a novel approach to automatically reproduce Android bug reports. Our approach leverages advanced natural language process techniques.
Several existing approaches have been developed to automate bug reproduction [26,28, 52, 54,55]. These methods follow two phases in bug reproduction: 1) ...
This is the artifact of our work “Automatically Reproducing Android Bug Reports using Natural Language Processing and Reinforcement Learning” accepted at The ...
Automatically Reproducing Android Bug Reports using Natural Language Processing and Reinforcement Learning. Z. Zhang, R. Winn, Y. Zhao, T. Yu, ...
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Can reinforcement learning be used for natural language processing?
What is creating bug report in Android phone?
The approach is implemented as a tool, called S2RMiner, which combines HTML parsing, natural language processing, and machine learning techniques. We have ...
duce (S2R) sentences from bug reports. S2RMiner leverages HTML parsing, natural language processing, and machine learning techniques to analyze bug reports ...
Missing: Reinforcement | Show results with:Reinforcement
Automatically Reproducing Android Bug Reports Using Natural Language Processing and Reinforcement Learning. Resource URI: https://dblp.l3s.de/d2r/resource ...