In this paper, we present an approach that leverages Bayesian networks for classifying and predicting flaky tests. Our approach views the test flakiness problem ...
This paper presents an approach that leverages Bayesian networks for classifying and predicting flaky tests, and views the test flakiness problem as a ...
Abstract—Artificial intelligence and machine learning are making it possible for computers to diagnose some medical diseases more accurately than doctors.
King et al. presented an approach that leverages Bayesian networks for flaky test classification and prediction [2] . This approach considers flakiness as a ...
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In this paper, we propose a proactive assistant robot for human assembly tasks. In order to predict future events of human activities such as requesting ...
Oct 26, 2021 · Towards a Bayesian network model for predicting flaky automated tests. In Proceedings of the International Conference on Software Quality ...
This study compares the predictive accuracy of the three machine learning classifiers (Naive Bayes, Support Vector Machines, and Random Forests) with each other ...
Aug 31, 2022 · Phillips, and P. J. Clarke, “Towards a. Bayesian Network Model for Predicting Flaky Automated Tests,” 2018. IEEE International Conference on ...
Toward comprehensible software fault prediction models using bayesian network classifiers. ... Predicting software test effort in iterative development ...
