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Analysis and Solutions for Bug
Akshay Khamkar, Aishwarya Jagtap, Neeraj Pattan, Anuja Raipure, Prof. Mrs. P.Y. Pawar
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Abstract: In the recent years, as the number of lines of code has been increasing exponentially, and this has also increased the time to solve the bugs found in the source code of any software. To manage this surge in bugs, there is need to reduce the time required to solve these bugs i.e. to reduce the bug-fix time as well as to assign priorities to bugs, according to bug-fix time. Handling the bugs efficiently could prove to be cost saving for industries. In this paper we would be proposing model for reducing bug fix time and solution on bug fix time.
Keywords: Cosine Algorithm, Bug-Fix time, TF-IDF (Term Frequency - Inverse Document Frequency).
Keywords: Cosine Algorithm, Bug-Fix time, TF-IDF (Term Frequency - Inverse Document Frequency).
How to Cite:
[1] Akshay Khamkar, Aishwarya Jagtap, Neeraj Pattan, Anuja Raipure, Prof. Mrs. P.Y. Pawar, βAnalysis and Solutions for Bug,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6371
This work is licensed under a Creative Commons Attribution 4.0 International License.