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2020 – today
- 2024
[j5]Sean Kauffman
, Martin Zimmermann:
The complexity of evaluating nfer. Sci. Comput. Program. 231: 103012 (2024)- [c14]Sean Kauffman, Carlos Moreno, Sebastian Fischmeister:
Annotating Control-Flow Graphs for Formalized Test Coverage Criteria. ICSTW 2024: 55-62 - [c13]Sean Kauffman, Kim Guldstrand Larsen, Martin Zimmermann:
The Complexity of Data-Free Nfer. RV 2024: 174-191 - [i4]Sean Kauffman, Kim Guldstrand Larsen, Martin Zimmermann:
The Complexity of Data-Free Nfer. CoRR abs/2407.03155 (2024) - [i3]Sean Kauffman, Carlos Moreno, Sebastian Fischmeister:
Annotating Control-Flow Graphs for Formalized Test Coverage Criteria. CoRR abs/2407.04144 (2024) - 2023
- [j4]Sean Kauffman:
Log analysis and system monitoring with nfer. Sci. Comput. Program. 225: 102909 (2023) - [c12]Simon Dierl, Falk Maria Howar, Sean Kauffman, Martin Kristjansen, Kim Guldstrand Larsen, Florian Lorber, Malte Mauritz:
Learning Symbolic Timed Models from Concrete Timed Data. NFM 2023: 104-121 - 2022
- [c11]Thomas Møller Grosen, Sean Kauffman, Kim Guldstrand Larsen, Martin Zimmermann:
Monitoring Timed Properties (Revisited). FORMATS 2022: 43-62 - [c10]Dennis Dams, Klaus Havelund, Sean Kauffman:
Runtime Verification as Documentation. ISoLA (2) 2022: 157-173 - [c9]Dennis Dams, Klaus Havelund, Sean Kauffman:
A Python Library for Trace Analysis. RV 2022: 264-273 - [c8]Sean Kauffman, Martin Zimmermann:
The Complexity of Evaluating Nfer. TASE 2022: 388-405 - [i2]Sean Kauffman, Martin Zimmermann:
The Complexity of Evaluating nfer. CoRR abs/2202.13677 (2022) - [i1]Thomas Møller Grosen, Sean Kauffman, Kim Guldstrand Larsen, Martin Zimmermann:
Monitoring Timed Properties (Revisited). CoRR abs/2206.14590 (2022) - 2021
- [b1]Sean Kauffman:
Runtime Monitoring for Uncertain Times. University of Waterloo, Ontario, Canada, 2021 - [j3]Sean Kauffman, Murray Dunne, Giovani Gracioli, Waleed Khan, Nirmal Benann, Sebastian Fischmeister:
Palisade: A framework for anomaly detection in embedded systems. J. Syst. Archit. 113: 101876 (2021) - [j2]Sean Kauffman, Klaus Havelund, Sebastian Fischmeister:
What can we monitor over unreliable channels? Int. J. Softw. Tools Technol. Transf. 23(4): 579-600 (2021) - [c7]Sean Kauffman:
nfer - A Tool for Event Stream Abstraction. SEFM 2021: 103-109 - 2020
- [d2]Sean Kauffman, Murray Dunne, Giovani Gracioli, Waleed Khan, Nirmal Benann, Sebastian Fischmeister:
Palisade: A Framework for Anomaly Detection in Embedded Systems Dataset. IEEE DataPort, 2020
2010 – 2019
- 2019
- [c6]Sean Kauffman, Sebastian Fischmeister:
Event stream abstraction using nfer: demo abstract. ICCPS 2019: 332-333 - [c5]Sean Kauffman, Klaus Havelund, Sebastian Fischmeister:
Monitorability over Unreliable Channels. RV 2019: 256-272 - [d1]Sean Kauffman, Sebastian Fischmeister:
The Effects of Toolchain Configuration on the WCET of SCADE Generated Software: Dataset. IEEE DataPort, 2019 - 2018
- [j1]Sean Kauffman, Klaus Havelund, Rajeev Joshi, Sebastian Fischmeister:
Inferring event stream abstractions. Formal Methods Syst. Des. 53(1): 54-82 (2018) - 2016
- [c4]Carlos Moreno, Sean Kauffman, Sebastian Fischmeister:
Efficient program tracing and monitoring through power consumption - with a little help from the compiler. DATE 2016: 1556-1561 - [c3]Sean Kauffman, Rajeev Joshi, Klaus Havelund:
Towards a Logic for Inferring Properties of Event Streams. ISoLA (2) 2016: 394-399 - [c2]Sean Kauffman, Carlos Moreno, Sebastian Fischmeister:
Static Transformation of Power Consumption for Software Attestation. RTCSA 2016: 188-194 - [c1]Sean Kauffman, Klaus Havelund, Rajeev Joshi:
nfer - A Notation and System for Inferring Event Stream Abstractions. RV 2016: 235-250
Coauthor Index
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last updated on 2024-11-07 21:37 CET by the dblp team
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