Leif Jonsson

According to our database, Leif Jonsson authored at least 14 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Telecom AI Native Systems in the Age of Generative AI - An Engineering Perspective.

Ricardo Britto, Timothy Murphy, Massimo Iovene, Leif Jonsson, Melike Erol-Kantarci, Benedek Kovács

CoRR, 2023

The Cambridge Law Corpus: A Corpus for Legal AI Research.

Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin, Leif Jonsson, Måns Magnusson, Felix Steffek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adopting Automated Bug Assignment in Practice: A Longitudinal Case Study at Ericsson.

Markus Borg, Leif Jonsson, Emelie Engström, Béla Bartalos, Attila Szabó

CoRR, 2022

BERTicsson: A Recommender System For Troubleshooting.

Nuria Marzo I Grimalt, Serveh Shalmashi, Forough Yaghoubi, Leif Jonsson, Amir Hossein Payberah

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

Adopting Automated Bug Assignment in Practice - A Registered Report of an Industrial Case Study.

Markus Borg, Leif Jonsson, Emelie Engström, Béla Bartalos, Attila Szabó

CoRR, 2021

2020

DOLDA: a regularized supervised topic model for high-dimensional multi-class regression.

Måns Magnusson, Leif Jonsson, Mattias Villani

Comput. Stat., 2020

Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models.

Alexander Terenin, Måns Magnusson, Leif Jonsson

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler.

Alexander Terenin, Måns Magnusson, Leif Jonsson, David Draper

IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018

Machine Learning-Based Bug Handling in Large-Scale Software Development.

Leif Jonsson

PhD thesis, 2018

2016

Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts.

Leif Jonsson, Markus Borg, David Broman, Kristian Sandahl, Sigrid Eldh, Per Runeson

Empir. Softw. Eng., 2016

Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems Using Bayesian Classification.

Leif Jonsson, David Broman, Måns Magnusson, Kristian Sandahl, Mattias Villani, Sigrid Eldh

Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

2015

The More the Merrier: Leveraging on the Bug Inflow to Guide Software Maintenance.

Markus Borg, Leif Jonsson

Tiny Trans. Comput. Sci., 2015

2013

Increasing anomaly handling efficiency in large organizations using applied machine learning.

Leif Jonsson

Proceedings of the 35th International Conference on Software Engineering, 2013

2012

Towards Automated Anomaly Report Assignment in Large Complex Systems Using Stacked Generalization.

Leif Jonsson, David Broman, Kristian Sandahl, Sigrid Eldh

Proceedings of the Fifth IEEE International Conference on Software Testing, 2012