Automated duplicate detection for bug tracking systems
By Nicholas Jalbert, Westley Weimer. Dependable Systems and Networks, 2008
302 citations recorded by the source corpus.
Subfields: Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/649acd55aeece28925dd384d15b01e54c525c3f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Thomas Zimmermann
- Sascha Just
- David Lo
- Nicolas Bettenburg
- Rahul Premraj
- Jing Jiang
- Siau-cheng Khoo
- Chengnian Sun
In Software
- Thomas Zimmermann
- Sascha Just
- Nicolas Bettenburg
- David Lo
- Rahul Premraj
- Siau-cheng Khoo
- Jing Jiang
- Xiaoyin Wang
Citations in the corpus
- What Makes a Good Bug Report? (2008, background): “Several studies used bug reports to automatically assign developers to bug reports [4], [5], [20], assign locations to bug reports [19], track features over time [26], recognize bug duplicates [22], [29], [32], [54], [60], assess the severity [44], predict effort for bug reports [63], identify bug t”
- RCLinker: Automated Linking of Issue Reports and Commits Leveraging Rich Contextual Information (2015, unknown): “There also a number of techniques that infer missing links between duplicated bug reports [52], [59], [26], [55], [54], [58], [48], [1].”
- A discriminative model approach for accurate duplicate bug report retrieval (2010, methodology): “The first one is automatically filtering duplicates to prevent multiple duplicate reports from reaching triagers [11].”
- Towards more accurate retrieval of duplicate bug reports (2011, background): “This process however is not scalable for systems with large user base as the process could take much time.”