Loading

A Novel Approach for Bug Triaging with Specialized Topic Model
Tummala Sai Roopa1, Yarlagadda Purna2, Chaitanya Krishna3

1Tummala Sai Roopa, UG Student, Koneru Lakshmaih Educational Foundation.
2Yarlagadda Purna, UG Student, Koneru Lakshmaih Educational Foundation.
3Dr. Chaitanya Krishna, Assistant Professor, Koneru Lakshmaih Educational Foundation

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1032-1038 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5552058719/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Programming associations spend in excess of 48% of price in overseeing programming bugs. An unpreventable walk of explaining bugs is bug triage, which hopes to viably consign a fashioner to another bug. Bug triaging suggests the path toward doling out a bug to the most reasonable originator to fix. It ends up being progressively troublesome and confounded as the degree of programming and the amount of architect’s augmentation. Programming bugs are predictable and bug triaging is a troublesome, dreary, dull and expensive errand. For tremendous programming adventures, the amount of moving toward bug reports is commonly high. Triaging these broad amounts of moving toward bug reports is a troublesome and dreary errand. Some portion of the bug triaging method is consigning an as of late arrived bug answer to an architect who could successfully resolve the bug. Delegating bug answer to the relevant creator is an indispensable walk as it diminishes the bug throwing. Bug heaving is the path toward reassigning the bug answer to another promising architect, if the essential picked one can’t resolve it.
Keyword: Tossing Graph Techniques, CLUBAS Algorithm.
Scope of the Article: Probabilistic Models and Methods