International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Automated Bug Classification And Traige System Using Hybrid Algorithm Based On Data Mining

RAHUL V. BAMBODKAR, PROF. SHIVENDRA DUBEY

Abstract :

Flaw is only a blunder or bug which produces unforeseen and mistaken result. In Companies all product tasks are influenced by programming Flaws (bug).Every day new bugs are created and engineer needs to alter that bug or imperfection. Programming Company spends heaps of cash to alter them. Settling bug is hard so we will diminish this by utilizing some technique. Every time when bug is created we have to arrange that bug and for that reason we require classifier. Classifier is the procedure by which we can arrange the bug with the goal that we decide at which class that bug is have a place. In this paper we are utilizing two procedures NB (naive bayes) and KNN (k-nearest neighbour) for arrangement. NB depends on recurrence and KNN depends on word check. After the arrangement the bug is grouped and administrator can allocate them to the designer to alter. In this paper we likewise present element choice and example choice for diminishing database. Bug storehouse is the database which is utilized to store bug points of interest. In this paper mix of NB and KNN classifier is utilized which is more effective and take less time to arrange the bug so that administrator can allocate a legitimate bug of specific class to the ideal designer AND the bug will settle effortlessly. In the past paper manual triaging framework is utilized which is not effective and taking an excessive amount of time. In this paper we enhancing imperfection triage furthermore decreasing the database by utilizing these two systems.

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