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ELBlocker: Predicting blocking bugs with ensemble imbalance learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.326openalex-snapshot
IEEE International Conference on Software Maintenance (ICSM2005)
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/3-540-45014-9_1openalex-snapshot
Ensemble Methods in Machine Learning
inferredcites →https://doi.org/10.1007/978-3-540-27868-9_88openalex-snapshot
The Imbalanced Training Sample Problem: Under or over Sampling?
inferredcites →https://doi.org/10.1007/b98738openalex-snapshot
Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings
inferredcites →https://doi.org/10.1007/s10515-014-0162-2openalex-snapshot
Automatic, high accuracy prediction of reopened bugs
inferredcites →https://doi.org/10.1007/s10664-012-9228-6openalex-snapshot
Studying re-opened bugs in open source software
inferredcites →https://doi.org/10.1007/s10664-014-9331-yopenalex-snapshot
Automated prediction of bug report priority using multi-factor analysis
inferredcites →https://doi.org/10.1016/0164-1212(89)90039-3openalex-snapshot
Evaluating the effectiveness of reliability-assurance techniques
inferredcites →https://doi.org/10.1109/apsec.2011.15openalex-snapshot
DREX: Developer Recommendation with K-Nearest-Neighbor Search and Expertise Ranking
inferredcites →https://doi.org/10.1109/apsec53868.2021openalex-snapshot
2021 28th Asia-Pacific Software Engineering Conference (APSEC)
inferredcites →https://doi.org/10.1109/ase.2011.6100061openalex-snapshot
Towards more accurate retrieval of duplicate bug reports
inferredcites →https://doi.org/10.1109/ase.2013.6693087openalex-snapshot
Personalized defect prediction
inferredcites →https://doi.org/10.1109/csmr-wcre.2014.6747163openalex-snapshot
Towards more accurate multi-label software behavior learning
inferredcites →https://doi.org/10.1109/csmr-wcre32813.2014openalex-snapshot
2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)
inferredcites →https://doi.org/10.1109/csmr.2013.43openalex-snapshot
A Comparative Study of Supervised Learning Algorithms for Re-opened Bug Prediction
inferredcites →https://doi.org/10.1109/csmr12540.2007openalex-snapshot
11th European Conference on Software Maintenance and Reengineering (CSMR'07)
inferredcites →https://doi.org/10.1109/dsn.2008.4630070openalex-snapshot
Automated duplicate detection for bug tracking systems
inferredcites →https://doi.org/10.1109/dsn11817.2008openalex-snapshot
2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC (DSN)
inferredcites →https://doi.org/10.1109/icse.2012.6227176openalex-snapshot
Identifying Linux bug fixing patches
inferredcites →https://doi.org/10.1109/icse19354.2012openalex-snapshot
2012 34th International Conference on Software Engineering (ICSE)
inferredcites →https://doi.org/10.1109/icsm.2008.4658083openalex-snapshot
Automated severity assessment of software defect reports
inferredcites →https://doi.org/10.1109/icsm.2013.31openalex-snapshot
DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis
inferredcites →https://doi.org/10.1109/icsm20533.2012openalex-snapshot
2012 28th IEEE International Conference on Software Maintenance (ICSM)
inferredcites →https://doi.org/10.1109/issre.2007.22openalex-snapshot
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
inferredcites →https://doi.org/10.1109/issre12902.2007openalex-snapshot
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inferredcites →https://doi.org/10.1109/msr.2007.13openalex-snapshot
How Long Will It Take to Fix This Bug?
inferredcites →https://doi.org/10.1109/msr.2010.5463284openalex-snapshot
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inferredcites →https://doi.org/10.1109/msr.2013.6624040openalex-snapshot
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inferredcites →https://doi.org/10.1109/msr16788.2010openalex-snapshot
2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)
inferredcites →https://doi.org/10.1109/wcre.2013.6671282openalex-snapshot
Accurate developer recommendation for bug resolution
inferredcites →https://doi.org/10.1109/wcre.2013.6671293openalex-snapshot
Automated library recommendation
inferredcites →https://doi.org/10.1109/wcre32896.2013openalex-snapshot
2013 20th Working Conference on Reverse Engineering (WCRE)
inferredcites →https://doi.org/10.1145/1368088.1368151openalex-snapshot
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inferredcites →https://doi.org/10.1145/1595696.1595715openalex-snapshot
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inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
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inferredcites →https://doi.org/10.1145/1806799.1806811openalex-snapshot
A discriminative model approach for accurate duplicate bug report retrieval
inferredcites →https://doi.org/10.1145/1868328openalex-snapshot
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
inferredcites →https://doi.org/10.1145/2020390.2020401openalex-snapshot
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inferredcites →https://doi.org/10.1145/2351676openalex-snapshot
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/2351676.2351687openalex-snapshot
Duplicate bug report detection with a combination of information retrieval and topic modeling
inferredcites →https://doi.org/10.1145/2393596.2393669openalex-snapshot
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inferredcites →https://doi.org/10.1145/2491411openalex-snapshot
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/2491411.2491418openalex-snapshot
Sample size vs. bias in defect prediction
inferredcites →https://doi.org/10.1145/2597073.2597099openalex-snapshot
Characterizing and predicting blocking bugs in open source projects
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
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inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
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inferredcites →https://doi.org/10.4324/9781315806730openalex-snapshot
Ordinal Methods for Behavioral Data Analysis
inferredcites →https://doi.org/10.5555/2337223.2337363openalex-snapshot
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inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques
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inferred← citeshttps://doi.org/10.1002/smr.2290openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-32-9515-5_31openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10462-021-10044-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10664-017-9522-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10664-019-09688-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11042-021-11488-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11334-022-00457-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11334-026-00635-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11390-017-1713-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11390-021-0235-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13198-019-00850-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13198-019-00888-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13198-023-01902-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13198-023-01975-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129067openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.inffus.2020.10.017openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2017.07.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2019.07.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2020.106432openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106584openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2021.106756openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2022.107016openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107354openalex-snapshot
Why and how bug blocking relations are breakable: An empirical study on breakable blocking bugs
inferred← citeshttps://doi.org/10.1016/j.jksuci.2017.07.006openalex-snapshot
Three-level learning for improving cross-project logging prediction for if-blocks
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110518openalex-snapshot
Partially observable Markov decision process to generate policies in software defect management
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110567openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jss.2022.111219openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neucom.2019.05.100openalex-snapshot
On cost-effective software defect prediction: Classification or ranking?
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.106578openalex-snapshot
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inferred← citeshttps://doi.org/10.1049/sfw2/6615496openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/comjnl/bxv114openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2018.2865780openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2018.2890733openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.3040156openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2021.3095559openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/apsec.2015.38openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/apsec.2017.38openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/apsec57359.2022.00041openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ase56229.2023.00163openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/fgct.2016.7605093openalex-snapshot
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inferred← citeshttps://doi.org/10.5753/sbqs.2017.15094openalex-snapshot
Mineração de Textos para Apoiar a Predição de Severidade de Relatórios de Incidentes: um Estudo de Viabilidade
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