Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts L Jonsson, M Borg, D Broman, K Sandahl, S Eldh, P Runeson Empirical Software Engineering 21 (4), 1533-1578, 2016 | 87 | 2016 |
Towards automated anomaly report assignment in large complex systems using stacked generalization L Jonsson, D Broman, K Sandahl, S Eldh 2012 IEEE Fifth International Conference on Software Testing, Verification …, 2012 | 17 | 2012 |
Polya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel sampler A Terenin, M Magnusson, L Jonsson, D Draper IEEE transactions on pattern analysis and machine intelligence 41 (7), 1709-1719, 2018 | 12* | 2018 |
Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems using Bayesian Classification L Jonsson, D Broman, M Magnusson, K Sandahl, M Villani, S Eldh 2016 IEEE International Conference on Software Quality, Reliability and …, 2016 | 8 | 2016 |
DOLDA: a regularized supervised topic model for high-dimensional multi-class regression M Magnusson, L Jonsson, M Villani Computational Statistics, 1-27, 2016 | 8 | 2016 |
Parallelizing LDA using partially collapsed Gibbs sampling M Magnusson, L Jonsson, M Villani, D Broman ArXiv e-prints, 2015 | 7 | 2015 |
Increasing anomaly handling efficiency in large organizations using applied machine learning L Jonsson 2013 35th International Conference on Software Engineering (ICSE), 1361-1364, 2013 | 7 | 2013 |
Sparse partially collapsed mcmc for parallel inference in topic models M Magnusson, L Jonsson, M Villani, D Broman Journal of Computational and Graphical Statistics 27 (2), 449-463, 2018 | 5 | 2018 |
Machine Learning-Based Bug Handling in Large-Scale Software Development L Jonsson Linköping University Electronic Press, 2018 | 4 | 2018 |
The More the Merrier: Leveraging on the Bug Inflow to Guide Software Maintenance M Borg, L Jonsson Tiny Transactions on Computer Science 3, 2015 | | 2015 |
Multinomial probit latent dirichlet allocation M Magnusson, L Jonsson, M Villani | | 2014 |