Experimentation in software engineering
IEEE Transactions on Software Engineering
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Automated support for classifying software failure reports
Proceedings of the 25th International Conference on Software Engineering
Populating a Release History Database from Version Control and Bug Tracking Systems
ICSM '03 Proceedings of the International Conference on Software Maintenance
Computing in Science and Engineering
Analyzing and Relating Bug Report Data for Feature Tracking
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
Bugzilla, ITracker, and Other Bug Trackers
IEEE Software
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Open source software maintenance process framework
5-WOSSE Proceedings of the fifth workshop on Open source software engineering
Impact Analysis by Mining Software and Change Request Repositories
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
Software Bugs and Evolution: A Visual Approach to Uncover Their Relationship
CSMR '06 Proceedings of the Conference on Software Maintenance and Reengineering
Software Defect Association Mining and Defect Correction Effort Prediction
IEEE Transactions on Software Engineering
Coping with an open bug repository
eclipse '05 Proceedings of the 2005 OOPSLA workshop on Eclipse technology eXchange
Proceedings of the 28th international conference on Software engineering
Supporting change request assignment in open source development
Proceedings of the 2006 ACM symposium on Applied computing
A Linguistic Analysis of How People Describe Software Problems
VLHCC '06 Proceedings of the Visual Languages and Human-Centric Computing
Detection of Duplicate Defect Reports Using Natural Language Processing
ICSE '07 Proceedings of the 29th international conference on Software Engineering
How Long Will It Take to Fix This Bug?
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
Determining Implementation Expertise from Bug Reports
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
Quality of bug reports in Eclipse
Proceedings of the 2007 OOPSLA workshop on eclipse technology eXchange
Better bug reporting with better privacy
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
An approach to detecting duplicate bug reports using natural language and execution information
Proceedings of the 30th international conference on Software engineering
Extracting structural information from bug reports
Proceedings of the 2008 international working conference on Mining software repositories
Improving bug triage with bug tossing graphs
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
One Step More to Understand the Bug Report Duplication Problem
SBES '10 Proceedings of the 2010 Brazilian Symposium on Software Engineering
An Initial Study on the Bug Report Duplication Problem
CSMR '10 Proceedings of the 2010 14th European Conference on Software Maintenance and Reengineering
An analysis of requirements evolution in open source projects: recommendations for issue trackers
Proceedings of the 2013 International Workshop on Principles of Software Evolution
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Duplicate bug report entries in bug trackers have a negative impact on software maintenance and evolution. This is due, among other factors, to the increased time spent on report analysis and validation, which in some cases takes over 20 min. Therefore, a considerable amount of time is lost in duplicate bug report analysis. In order to understand the possible factors that cause bug report duplication and its impact on software development, this paper presents an exploratory study in which bug tracking data from private and open source projects were analyzed. The results show, for example, that all projects we investigated had duplicate bug reports and a considerable amount of time was wasted by this duplication. Furthermore, features such as project lifetime, staff size, and the number of bug reports do not seem to be significant factors for duplication, while others, such as the submitters' profile and the number of submitters, do seem to influence the bug report duplication.