Call For Paper Volume:4 Issue:8 Aug'2017 |

Literature Review On Bug Triage With Software Data Reduction Techniques.

Publication Date : 23/01/2016



Author(s) :

Miss. Aher Tejaswini Pratap , Prof. M. S. Ankoshe.


Volume/Issue :
Volume 3
,
Issue 1
(01 - 2016)



Abstract :

This work proposes a literature survey on Bug Triage with Software Data Reduction Technique. To take step of fixing bugs in bug triage, which aims to correctly assign a developer to a new bug. Large software companies spend large cost software bugs. To decrease the time cost in manual work, text classification techniques are applied to conduct automatic bug triage. Here, we address the problem of data reduction for bug triage and strategies to improve the instance selection with feature selection to simultaneously reduce data scale on the bug dimension and the word dimension. We extract attributes from historical bug data sets and build a predictive model for a new bug data set. The results show that our data reduction can reduce the data scale and improve the accuracy of bug triage. This work provides approaches on data processing to form reduced and high-quality bug data in software development and maintenance. 


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Literature Review On Bug Triage With Software Data Reduction Techniques.

January 22, 2016