Bug Tracking Application Real Time Bug Reporting and Tracking

Abstract

Bug tracking applications are majorly regular bugs which uses tools to tracks the bug from user through software development lifecycle to maintain the reliability and consistency. And just then the software system has any oversized user base, that is common in practice and different users may experience the same bug generation that may lead to many duplicacy in the bug report. The presence of redundant bug report hence finally ends up with many unnecessary attempts of designer lay out on detecting the same defects. To accelerate bug fixing task and store the price of inventor there is a huge demand for automated detection of redundant bug records. In that time, the proposed system explores the employment robust deep study technique as well as word embedding and convolution neural network to compute similitude between a set of bug reports and hence identify feasible redundancy. In contrast to the earlier process that is consider only common letters in the bug depiction for lexical similitude calculation. Here the main approach in an edge to push capture semantic logical similitude between the words. In that cases we are not improve conventional CNN models through merging few domain specific functions pull out from the bug records. Experimental results of the bug report show that CNN has made a significant advancement into duplicate detection accuracy above the conventional approach.

Introduction

The literature review highlights different approaches to improve bug tracking, including NLP-based methods for identifying duplicate reports and process-, tool-, user-, and information-centric frameworks. Some research has introduced automated duplicate bug detection systems, but existing solutions still struggle with accuracy and full integration of bug report information.

The problem statement emphasizes communication gaps between developers, testers, and QA teams, along with difficulties in managing large volumes of bug reports. Poor coordination and reliance on manual tracking (such as spreadsheets) can lead to inefficiency and project delays.

The proposed system introduces an online bug tracking application that centralizes bug reporting, assignment, and monitoring. It stores bug data in a database and helps project managers oversee progress across teams. It also improves communication between developers, testers, and managers.

In implementation, the system collects detailed bug information through structured and sometimes randomized questionnaires to ensure completeness and accuracy. It captures details such as bug location, module, operating system, and environment, helping developers quickly identify issues. The system supports automated workflow where testers report bugs, managers assign tasks, and developers fix and update them.

The system includes four main modules: administrator, developer, manager, and tester, each with specific responsibilities such as project management, bug fixing, monitoring progress, and reporting issues.

Conclusion

This Bug following associated reportage System helps a software package Concern to find and manage the bug in their product effectively and efficiently. Utilizing bug following software package will assist in troubleshooting errors for testing and for development processes. With the flexibility to produce comprehensive reports, documentation, looking out capabilities, following bugs and problems, bug following software package may be a great tool for those software package development wants. counting on your development wants and also the bug following software package, you\'ll hope to realize many edges from bug following software package. This System is mainly used to identify the bugs accurately and it is easy to use it improve communications between teams of individuals and it is increasing the standard of the software package.

References

[1] G. M. Puranik, “Design of Bug Tracking System,” International Journal of Innovative Research in Science, Engineering and Technology, vol. 3, no. 7, July 2014. [2] S. Just, R. Premraj, and T. Zimmermann, “Towards the Next Generation of Bug Tracking Systems,” in Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2008, pp. 82–85. [3] J. Aranda and G. Venolia, “The Secret Life of Bugs: Going Past the Errors and Omissions in Software Repositories,” in Proceedings of the 31st International Conference on Software Engineering (ICSE), 2009. [4] S. Parvez and S. Y. D. Mehdi, “Defect Tracking System,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol. 5, no. 3, Mar. 2017. [5] A. S. Syed Fiaz, N. Devi, and S. Aarthi, “Bug Tracking and Reporting System,” International Journal of Soft Computing and Engineering (IJSCE), vol. 3, no. 1, Mar. 2013. [6] J. Xuan and H. Jiang, “Towards Effective Bug Triage,” IEEE Transactions, 2013, pp. 251–269. [7] S. Singh, “Analysis of Bug Tracking Tools,” International Journal of Scientific & Engineering Research, vol. 4, no. 7, July 2013. [8] A. Amandeep and S. Mittal, “A Review on Bug Tracking System Using Naïve Bayes in Data Mining,” International Journal of Advance Research in Science and Engineering (IJARSE), vol. 3, no. 9, Sept. 2014. [9] A. Jadhav and K. Jadhav, “A Survey on Software Data Reduction Techniques for Effective Bug Triaging,” International Journal of Computer Science and Information Technologies, vol. 6, no. 5, 2015, pp. 4611–4612. [10] N. Zaware and P. Datir, “Online Bug Tracking System,” International Research Journal of Engineering and Technology (IRJET), vol. 3, no. 10, Oct. 2016. [11] M. Suresh, M. Amarnath, G. Baranikumar, and M. Jagadheeswaran, “A Survey on Bug Tracking System for Effective Bug Clearance,” International Research Journal of Engineering and Technology, vol. 3, no. 2, Feb. 2016.

Copyright

Copyright © 2026 Umesh Mishra, Ujjwal Srivastava, Er. Akashita Agrawal. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.