PREDICTING THE PRIORITY OF BUG REPORTS USING CLASSIFICATION ALGORITHMS

Predicting Bugs' Components via Mining Bug Reports

The number of bug reports in complex software increases dramatically. Since bugs are still triaged manually, bug triage or assignment is a labor-intensive and time-consuming task. Without knowledge about the structure of the software, testers often specify the component of a new bug incorrectly. Meanwhile, it is difficult for triagers to determine the component of the bug only by its descriptio...

Classification Algorithms for Detecting Duplicate Bug Reports in Large Open Source Repositories

Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms

In this paper the accuracy of two machine learning algorithms including SVM and Bayesian Network are investigated as two important algorithms in diagnosis of Parkinson’s disease. We use Parkinson's disease data in the University of California, Irvine (UCI). In order to optimize the SVM algorithm, different kernel functions and C parameters have been used and our results show that SVM with C par...

A Bug Triage and Localization Technique based on Bug Reports Classification

With a great number of software products that have been developed, bug fixing is difficult due to a large number of submitted bug reports each day. Sometimes developers usually describe the same errors in the different bug reports, these bug reports are called duplicate bug reports, the increasing number of duplicates lead to a large amount of time and effort for identifying and analyzing bug r...

Learning to Rank and Classification of Bug Reports Using Svm and Feature Evaluation

When a new bug report is received, developers usually need to reproduce the bug and perform code reviews to find the cause, a process that can be tedious and time consuming. A tool for ranking all the source files with respect to how likely they are to contain the cause of the bug would enable developers to narrow down their search and improve productivity. This project introduces an adaptive r...