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ORCIDMahsa Varshosaz
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Journal Articles
- 2023
[j7]Mahsa Varshosaz
, Mohsen Ghaffari, Einar Broch Johnsen, Andrzej Wasowski:
Formal Specification and Testing for Reinforcement Learning. Proc. ACM Program. Lang. 7(ICFP): 125-158 (2023)- [j6]Hugo Leonardo da Silva Araujo, Mohammad Reza Mousavi, Mahsa Varshosaz:
Testing, Validation, and Verification of Robotic and Autonomous Systems: A Systematic Review. ACM Trans. Softw. Eng. Methodol. 32(2): 51:1-51:61 (2023) - [j5]Juan Cruz-Carlon, Mahsa Varshosaz, Claire Le Goues, Andrzej Wasowski:
Patching Locking Bugs Statically with Crayons. ACM Trans. Softw. Eng. Methodol. 32(3): 56:1-56:28 (2023) - 2019
- [j4]Nauman Bin Ali, Emelie Engström, Masoumeh Taromirad, Mohammad Reza Mousavi, Nasir Mehmood Minhas, Daniel Helgesson, Sebastian Kunze, Mahsa Varshosaz:
On the search for industry-relevant regression testing research. Empir. Softw. Eng. 24(4): 2020-2055 (2019) - [j3]Mahsa Varshosaz, Lars Luthmann, Paul Mohr, Malte Lochau, Mohammad Reza Mousavi:
Modal transition system encoding of featured transition systems. J. Log. Algebraic Methods Program. 106: 1-28 (2019) - 2018
- [j2]Mahsa Varshosaz, Harsh Beohar, Mohammad Reza Mousavi:
Basic behavioral models for software product lines: Revisited. Sci. Comput. Program. 168: 171-185 (2018) - 2016
- [j1]Harsh Beohar, Mahsa Varshosaz, Mohammad Reza Mousavi:
Basic behavioral models for software product lines: Expressiveness and testing pre-orders. Sci. Comput. Program. 123: 42-60 (2016)
Conference and Workshop Papers
- 2024
- [c11]Sergio Quijano, Mahsa Varshosaz, Andrzej Wasowski:
Modeling and Safety Analysis of Autonomous Underwater Vehicles Behaviors. ICSTW 2024: 63-67 - 2022
- [c10]Sergio Quijano, Mahsa Varshosaz:
Model-Based Testing for System-Level Safety of Autonomous Underwater Robots. ICST 2022: 486-488 - 2019
- [c9]Mahsa Varshosaz, Mohammad Reza Mousavi:
Comparative Expressiveness of Product Line Calculus of Communicating Systems and 1-Selecting Modal Transition Systems. SOFSEM 2019: 490-503 - [c8]Thomas Thüm, Leopoldo Teixeira, Klaus Schmid, Eric Walkingshaw, Mukelabai Mukelabai, Mahsa Varshosaz, Goetz Botterweck, Ina Schaefer, Timo Kehrer:
Towards efficient analysis of variation in time and space. SPLC (B) 2019: 69:1-69:8 - 2018
- [c7]Mahsa Varshosaz, Mustafa Al-Hajjaji, Thomas Thüm, Tobias Runge, Mohammad Reza Mousavi, Ina Schaefer:
A classification of product sampling for software product lines. SPLC 2018: 1-13 - [c6]Mohammad Reza Mousavi, Mahsa Varshosaz:
Telling Lies in Process Algebra. TASE 2018: 116-123 - 2016
- [c5]Sofia Larissa da Costa Paiva, Adenilso Simão, Mahsa Varshosaz, Mohammad Reza Mousavi:
Complete IOCO test cases: a case study. A-TEST@SIGSOFT FSE 2016: 38-44 - 2015
- [c4]Mahsa Varshosaz, Harsh Beohar, Mohammad Reza Mousavi:
Delta-Oriented FSM-Based Testing. ICFEM 2015: 366-381 - 2014
- [c3]Mahsa Varshosaz, Ramtin Khosravi:
Model Checking of Software Product Lines in Presence of Nondeterminism and Probabilities. APSEC (1) 2014: 63-70 - 2013
- [c2]Mahsa Varshosaz, Ramtin Khosravi:
Discrete time Markov chain families: modeling and verification of probabilistic software product lines. SPLC Workshops 2013: 34-41 - 2012
- [c1]Mahsa Varshosaz, Ramtin Khosravi:
Modeling and Verification of Probabilistic Actor Systems Using pRebeca. ICFEM 2012: 135-150
Editorship
- 2023
- [e1]Paolo Arcaini, Maurice H. ter Beek, Gilles Perrouin, Iris Reinhartz-Berger, Miguel R. Luaces, Christa Schwanninger, Shaukat Ali, Mahsa Varshosaz, Angelo Gargantini, Stefania Gnesi, Malte Lochau, Laura Semini, Hironori Washizaki:
Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A, SPLC 2023, Tokyo, Japan, 28 August 2023- 1 September 2023. ACM 2023 [contents]
Data and Artifacts
- 2023
- [d1]Mahsa Varshosaz, Mohsen Ghaffari, Einar Broch Johnsen, Andrzej Wasowski:
Formal Specification and Testing for Reinforcement Learning (Supplementary Material ). Zenodo, 2023
Informal and Other Publications
- 2024
- [i1]Mohsen Ghaffari, Mahsa Varshosaz, Einar Broch Johnsen, Andrzej Wasowski:
Symbolic State Partition for Reinforcement Learning. CoRR abs/2409.16791 (2024)
Coauthor Index
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