| Reinforcement learning for automatic test case prioritization and selection in continuous integration H Spieker, A Gotlieb, D Marijan, M Mossige Proceedings of the 26th ACM SIGSOFT international symposium on software …, 2017 | 270 | 2017 |
| Testing robot controllers using constraint programming and continuous integration M Mossige, A Gotlieb, H Meling Information and Software Technology 57, 169-185, 2015 | 35 | 2015 |
| Evaluation of Linux rt-preempt for embedded industrial devices for Automation and Power Technologies-A Case Study M Mossige, P Sampath, R Rao 9th RTL Workshop 1, 2007 | 26 | 2007 |
| Using CP in automatic test generation for ABB robotics’ paint control system M Mossige, A Gotlieb, H Meling Principles and Practice of Constraint Programming: 20th International …, 2014 | 20 | 2014 |
| Testing robotized paint system using constraint programming: An industrial case study M Mossige, A Gotlieb, H Meling Testing Software and Systems: 26th IFIP WG 6.1 International Conference …, 2014 | 13 | 2014 |
| Time-aware test case execution scheduling for cyber-physical systems M Mossige, A Gotlieb, H Spieker, H Meling, M Carlsson Principles and Practice of Constraint Programming: 23rd International …, 2017 | 12 | 2017 |
| Test generation for robotized paint systems using constraint programming in a continuous integration environment M Mossige, A Gotlieb, H Meling 2013 IEEE Sixth International Conference on Software Testing, Verification …, 2013 | 10 | 2013 |
| Safety assurance of an industrial robotic control system using hardware/software co-verification Y Murray, M Sirevåg, P Ribeiro, DA Anisi, M Mossige Science of Computer Programming 216, 102766, 2022 | 8 | 2022 |
| Stress testing of single-arm robots through constraint-based generation of continuous trajectories M Collet, A Gotlieb, N Lazaar, M Mossige 2019 IEEE International Conference On Artificial Intelligence Testing …, 2019 | 7 | 2019 |
| Robtest: a CP approach to generate maximal test trajectories for industrial robots M Collet, A Gotlieb, N Lazaar, M Carlsson, D Marijan, M Mossige Principles and Practice of Constraint Programming: 26th International …, 2020 | 5 | 2020 |
| Rotational diversity in multi-cycle assignment problems H Spieker, A Gotlieb, M Mossige Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7724-7731, 2019 | 3 | 2019 |
| Deploying constraint programming for testing abb’s painting robots M Mossige, A Gotlieb, H Meling AI Magazine 38 (2), 94-96, 2017 | 3 | 2017 |
| Generating Tests for Robotized Painting Using Constraint Programming. M Mossige, A Gotlieb, H Meling IJCAI, 4200-4204, 2016 | 2 | 2016 |
| Different cycle, different assignment: Diversity in assignment problems with multiple cycles H Spieker, A Gotlieb, M Mossige Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 1 | 2018 |
| Method of Determining Characteristic of Fluid, Control System, Apparatus and Robot System J Trydal, M Mossige, Y Finnestad US Patent App. 18/256,696, 2024 | | 2024 |
| A controller for a paint robot A Skaar, S Nese, CA Jensen, M Mossige US Patent App. 18/044,809, 2023 | | 2023 |
| Constraint-Guided Test Execution Scheduling: An Experience Report at ABB Robotics A Gotlieb, M Mossige, H Spieker International Conference on Computer Safety, Reliability, and Security, 64-72, 2023 | | 2023 |
| Methods Of Determining Clogging And Clogging Characteristics Of Coating Medium Apparatus, Coating Medium Apparatus, Calibration System And Industrial Robot M Mossige, Ø Landsnes, AGK Thilagam, A Skaar, Y Finnestad US Patent App. 17/753,258, 2022 | | 2022 |
| Time-aware Test Execution Scheduling for Cyber-Physical Systems M Mossige, A Gotlieb, H Spieker, H Meling, M Carlsson Gesellschaft für Informatik eV, 2019 | | 2019 |
| Multi-Cycle Assignment Problems with Rotational Diversity H Spieker, A Gotlieb, M Mossige arXiv preprint arXiv:1811.03496, 2018 | | 2018 |
