Every day, many bugs are raised, which are not fully resolved, and a large number of developers are using open sources or third-party resources, which leads to security issues. Bug-triage is the upcoming automated bug report system to assign respective security teams for an ample rate of bug reports submitted from different IDEs within the organization (on-premises). Furthermore, by predicting the appropriate team (who can resolve the bug) in an organization, the bugs can be assigned once it is tracked. With this, cost and time can be saved in tracking and assigning the bugs. In this paper, we are implementing an Automatic bug tracking system (ABTS) to assign the team for the reported bug using the Text analysis for bug labeling and classification machine learning algorithm for predicting developer.
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