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 | 301 | 2017 |
Testing robot controllers using constraint programming and continuous integration M Mossige, A Gotlieb, H Meling Information and Software Technology 57, 169-185, 2015 | 39 | 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 | 21 | 2014 |
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 | 15 | 2022 |
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 | 14 | 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 | 11 | 2013 |
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 | 4 | 2020 |
Deploying constraint programming for testing abb’s painting robots M Mossige, A Gotlieb, H Meling AI Magazine 38 (2), 94-96, 2017 | 4 | 2017 |
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 |
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 Monitoring Cleaning of Coating Apparatus, Method of Cleaning Coating Apparatus, Coating Apparatuses, and Robot System Y Finnestad, J Trydal, M Mossige, B Sandvik US Patent App. 18/547,392, 2024 | | 2024 |
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 |