Proceedings ArticleDOI
Bug Severity Prediction System Using XGBoost Framework
Vedang Mondreti,C.J. Satish +1 more
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TLDR
In this paper, a bug reporting and triaging system is proposed to improve the process of handling bug reports submitted by users of a software using the eXtreme Gradient Boosting (XGBoost) algorithm and the inclusion of a class balancing function.Abstract:
The field of Bug Reporting and Triaging has of late been a hot area of study among researchers trying to improve system management techniques. There is an increasing importance for developers to consider and address the various issues faced by users in order to not only ensure the delivery of quality service but also to understand the performance of the system under real-life scenarios. Hence, in this project, there is an attempt to develop a system that can improve the process of handling bug reports submitted by users of a software. This will be done through Bug Severity Prediction using the eXtreme Gradient Boosting (XGBoost) algorithm and the inclusion of a class balancing function to offset the bias due to the presence of majority and minority classes. The project would also include a study on the work that has already been done along with a proposal of the system architecture, methodologies used and the various hardware and software requirements. The main aim of the project is to shed light on the advantages of developing a Bug Severity Prediction system that can help reduce the dependence on users for providing accurate information. With the help of models built based on the history of bug reports received till date, the system should be able to take up some of the responsibilities of the user reporting the bug.read more
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Journal ArticleDOI
An Optimized Hyperparameter of Convolutional Neural Network Algorithm for Bug Severity Prediction in Alzheimer's-Based IoT System
TL;DR: In this paper , a hybrid bug severity prediction model using convolution neural network (CNN) and Harris Hawk optimization (HHO) based on an optimized hyperparameter of CNN with HHO was proposed.
References
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Proceedings ArticleDOI
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Tianqi Chen,Carlos Guestrin +1 more
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Journal ArticleDOI
Sentiment analysis using product review data
Xing Fang,Justin Zhan +1 more
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Proceedings ArticleDOI
Predicting the severity of a reported bug
TL;DR: It is concluded that given a training set of sufficient size (approximately 500 reports per severity), it is possible to predict the severity of a reported bug by analyzing its textual description using text mining algorithms with a reasonable accuracy.
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