Automated Bug Triaging

In our research paper, we are proposing the best group of algorithms to apply to achieve the best possible accuracy in bug triaging to overcome time and financial cost of projects as well as reduce the frustration level within the teams of developers by rightly assigning bug reports to relevant deve

2025-06-28 16:30:21 - Adil Khan

Project Title

Automated Bug Triaging

Project Area of Specialization Artificial IntelligenceProject Summary

In our research paper, we are proposing the best group of algorithms to apply to achieve the best possible accuracy in bug triaging to overcome time and financial cost of projects as well as reduce the frustration level within the teams of developers by rightly assigning bug reports to relevant developers to solve.

Project Objectives

Our objective is to define a clearer pathway to achieve better accuracy in assigning bug reports to the relevant developers by automating the whole bug triaging process using multiple algorithms of NLP and their combinations.

Project Implementation Method

We are using 6 algorithms of Natural Language Processing and their combinations. We are comparing accuracy reports of these algorithms and will be suggesting the best performing algorithms to achieve our target. We will be comparing these algorithms with Convolutional Neural Network performance as well. All the research work is being done in the light of real-time coding in Jupyter Notebook using Python language.

Benefits of the Project

The proposed method will help big firms reduce financial and time cost in resolving bugs by assigning bug reports to the relevant developers.

Technical Details of Final Deliverable

We are using Natural Language Processing (ML/AI) to automate bug triaging method instead of manually triaging bug to the developers. The research work is being done using 6 algorithms which are Bag of words, TF-IDF, Latent Dirichlet Allocation, Naive-Bayes algorithm, K nearest Neighbour and Random Forest. Apart from these algorithms, we are working on Convolutional Neural Network to help get the best result out of it.

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 58000
Processor Ryzen 5 3600 Equipment13600036000
Motherboard asus tuf b450 pro Equipment12200022000

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