Abstract
Open source projects for example Eclipse and Firefox have open source bug repositories. User reports bugs to these repositories. Users of these repositories are usually non-technical and cannot assign correct class to these bugs. Triaging of bugs, to developer, to fix them is a tedious and time consuming task. Developers are usually expert in particular areas. For example, few developers are expert in GUI and others are in java functionality. Assigning a particular bug to relevant developer could save time and would help to maintain the interest level of developers by assigning bugs according to their interest. However, assigning right bug to right developer is quite difficult for tri-ager without knowing the actual class, the bug belongs to. In this research, we have classified the bugs in different labels on the basis of summary of the bug. Multinomial Naïve Bayes text classifier is used for classification purpose. For feature selection, Chi-Square and TFIDF algorithms were used. Using Naïve Bayes and Chi-square, we get average of 83 % accuracy.
Original language | English |
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Title of host publication | Proceedings - 2012 6th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2012 |
Pages | 414-419 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | International Conference on Complex, Intelligent and Software Intensive Systems 2012 - Palermo, Italy Duration: 4 Jul 2012 → 6 Jul 2012 Conference number: 6th https://ieeexplore.ieee.org/xpl/conhome/6243993/proceeding (Proceedings) |
Conference
Conference | International Conference on Complex, Intelligent and Software Intensive Systems 2012 |
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Abbreviated title | CISIS 2012 |
Country/Territory | Italy |
City | Palermo |
Period | 4/07/12 → 6/07/12 |
Internet address |
Keywords
- Classification
- Feature extraction
- Open source software projects
- Software repositories
- Text mining
- Triaging