Improving Automated Bug Triaging with Specialized Topic Model
Improving Automated Bug Triaging with Specialized Topic Model software project report Bug triaging refers to the process of assigning a bug to the most appropriate developer to fix. It becomes more and more difficult and complicated as the size of software and the number of developers increase. In this paper, we propose a new framework for bug triaging, which maps the words in the bug reports (i.e., the term space) to their corresponding topics (i.e., the topic space). We propose a specialized topic modeling algorithm named multi-feature topic model (MTM) which extends Latent Dirichlet Allocation (LDA) for bug triaging. MTM considers product and component information of bug reports to map the term space to the topic space. Click here to get complete Software projects lists.
Improving Automated Bug Triaging with Specialized Topic Model software project report We propose a new topic model based bug triaging approach, named TopicMiner, and a new topic model, named multi-feature topic model, which takes into consideration the features of a bug report when assigning topics to words in the report.
Student Free Project on Improving Automated Bug Triaging with Specialized Topic Model.We have evaluated our solution on 227,278 bug reports from five software systems and demonstrate that TopicMinerMTM outperforms Bugzie, LDA-KL, SVM-LDA, LDA-Activity, and Yang et al.’s approach by substantial margins. In the future, we plan to improve the effectiveness of our approach further, and investigate additional bug reports. Also, in this work, we merge the two features (i.e., product and component) as one composite feature (i.e., by creating a feature combination). Student Free Project on Improving Automated Bug Triaging with Specialized Topic Model.
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|Project Name||Improving Automated Bug Triaging with Specialized Topic Model|
|Project Category||Software Project|
|Project Cost||50$/ Rs 2999|
|Delivery Time||48 Hour|
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