A Survey on Traditional Bug Triage and Software Data Reduction Techniques
Abstract & Details
Research Area
Computer Engineering
Keywords
Instance selection
Feature selection
application of data preprocessing
Mining software repositories
bug data minimization
bug triage
data management for bug repositories
prediction for reduction orders.
Abstract
Software bugs are the major areas where most of the IT companies spend its 45% of efforts. Bug triage is a most dynamic way for reducing bugs in the software, which is appropriately assigning the new bug to a developer. Automatic Bug triage is conducted by using text classification methods to minimize the manual work. In this section paper, the problem of large data for bug triage is addressed i.e. reducing the amount of data in assigning the bugs to developers. This technique combines feature selection and instance selection for simultaneously minimizing the bug dimension and word dimension. To identify the application order of instance selection and then feature selection, extraction of various attributes from previous bug track record is carried out to build new bug track or dataset. The proposed system tests its performance on the sample dataset of the open source software i.e. Eclipse software. The proposed system works on novel data processing techniques to generate small amount of but highly informative bug report data in software maintenance and development.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Tanuja Pansambal | Vishwabharati Academy's College of Engineering,Ahmednagar |
| 2 | H.B. Jadhav | Vishwabharati Academy's College of Engineering,Ahmednagar |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Pansambal, Tanuja & Jadhav, H.B. (2016). A Survey on Traditional Bug Triage and Software Data Reduction Techniques. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 21-25.
MLA Style
Pansambal, Tanuja, and H.B. Jadhav. "A Survey on Traditional Bug Triage and Software Data Reduction Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2016, pp. 21-25.
IEEE Style
Tanuja Pansambal and H.B. Jadhav, "A Survey on Traditional Bug Triage and Software Data Reduction Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 21-25, 2016.
Vancouver Style
Pansambal Tanuja, Jadhav H.B.. A Survey on Traditional Bug Triage and Software Data Reduction Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2016;3(1):21-25.
Harvard Style
Pansambal, Tanuja & Jadhav, H.B. (2016) 'A Survey on Traditional Bug Triage and Software Data Reduction Techniques', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 21-25.
Chicago Style
Pansambal, Tanuja and H.B. Jadhav. "A Survey on Traditional Bug Triage and Software Data Reduction Techniques." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2016): 21-25.
Turabian Style
Pansambal, Tanuja and H.B. Jadhav. "A Survey on Traditional Bug Triage and Software Data Reduction Techniques." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2016): 21-25.
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