GUI Component Detection-Based Automated Software Crash Diagnosis
نویسندگان
چکیده
This study presents an automated software crash-diagnosis technique using a state transition graph (STG) based on GUI-component detection. An STG is representation of the changes in application that are caused by actions executed GUI, which avoids redundant test cases and generates bug-reproduction scenarios. The proposed configures computer vision artificial intelligence technologies performs GUI testing without human intervention. Four experiments were conducted to evaluate performance technique: detection-performance analysis detection model, code-coverage measurement, crash-detection-performance analysis, self-configured multi-crash environment. model obtained macro F1-score 0.843, even with small training dataset for deep-learning analysis. Furthermore, achieved better results than baseline Monkey terms code coverage, crash detection,
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ژورنال
عنوان ژورنال: Electronics
سال: 2023
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics12112382