Leif Jonsson

17 papers A* 2A 1C 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Adopting automated bug assignment in practice - a longitudinal case study at Ericsson.
Empir. Softw. Eng.
Markus Borg, Leif Jonsson, Emelie Engström, Béla Bartalos, Attila Szabó
2023 J jnl
Telecom AI Native Systems in the Age of Generative AI - An Engineering Perspective.
CoRR
Ricardo Britto, Timothy Murphy, Massimo Iovene, Leif Jonsson, Melike Erol-Kantarci, Benedek Kovács
2023 A* conf
The Cambridge Law Corpus: A Corpus for Legal AI Research.
NeurIPS
Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin, Leif Jonsson, Måns Magnusson, Felix Steffek
2023 J jnl
The Cambridge Law Corpus: A Corpus for Legal AI Research.
CoRR
Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin, Leif Jonsson, Måns Magnusson, Felix Steffek
2022 J jnl
Adopting Automated Bug Assignment in Practice: A Longitudinal Case Study at Ericsson.
CoRR
Markus Borg, Leif Jonsson, Emelie Engström, Béla Bartalos, Attila Szabó
2022 — conf
BERTicsson: A Recommender System For Troubleshooting.
SDU@AAAI
Nuria Marzo I Grimalt, Serveh Shalmashi, Forough Yaghoubi, Leif Jonsson, Amir Hossein Payberah
2021 J jnl
Adopting Automated Bug Assignment in Practice - A Registered Report of an Industrial Case Study.
CoRR
Markus Borg, Leif Jonsson, Emelie Engström, Béla Bartalos, Attila Szabó
2020 J jnl
DOLDA: a regularized supervised topic model for high-dimensional multi-class regression.
Comput. Stat.
Måns Magnusson, Leif Jonsson, Mattias Villani
2020 — conf
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models.
EMNLP (1)
Alexander Terenin, Måns Magnusson, Leif Jonsson
2019 J jnl
Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler.
IEEE Trans. Pattern Anal. Mach. Intell.
Alexander Terenin, Måns Magnusson, Leif Jonsson, David Draper
2019 J jnl
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models.
CoRR
Alexander Terenin, Måns Magnusson, Leif Jonsson
2018 — —
Machine Learning-Based Bug Handling in Large-Scale Software Development.
Leif Jonsson
2016 J jnl
Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts.
Empir. Softw. Eng.
Leif Jonsson, Markus Borg, David Broman, Kristian Sandahl, Sigrid Eldh, Per Runeson
2016 C conf
Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems Using Bayesian Classification.
QRS
Leif Jonsson, David Broman, Måns Magnusson, Kristian Sandahl, Mattias Villani, Sigrid Eldh
2015 J jnl
The More the Merrier: Leveraging on the Bug Inflow to Guide Software Maintenance.
Tiny Trans. Comput. Sci.
Markus Borg, Leif Jonsson
2013 A* conf
Increasing anomaly handling efficiency in large organizations using applied machine learning.
ICSE
Leif Jonsson
2012 A conf
Towards Automated Anomaly Report Assignment in Large Complex Systems Using Stacked Generalization.
ICST
Leif Jonsson, David Broman, Kristian Sandahl, Sigrid Eldh