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ORCIDMarkus Siegle
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- affiliation: Bundeswehr University Munich, Germany
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2020 – today
- 2024
[j15]Amin Soltanieh
, Markus Siegle:
Rate Lifting for Stochastic Process Algebra by Transition Context Augmentation. ACM Trans. Model. Comput. Simul. 34(3): 20:1-20:30 (2024)- [c45]Fabian Michel, Markus Siegle:
Markov Chain Aggregation with Error Bounds on Transient Distributions. ASMTA 2024: 1-17 - 2023
- [c44]Ulrich Vogl, Markus Siegle:
Scaled Agile: Toolgestützte Echtzeitplausibilisierung des PI-Planning. PVM 2023 - 2022
- [c43]Markus Siegle, Amin Soltanieh:
Rate Lifting for Stochastic Process Algebra - Exploiting Structural Properties -. QEST 2022: 67-84 - [i2]Markus Siegle, Amin Soltanieh:
Rate Lifting for Stochastic Process Algebra: Exploiting Structural Properties. CoRR abs/2206.14505 (2022) - 2021
- [c42]Amin Soltanieh, Markus Siegle:
Solving Systems of Bilinear Equations for Transition Rate Reconstruction. FSEN 2021: 157-172 - 2020
- [c41]Amin Soltanieh, Markus Siegle:
It Sometimes Works: A Lifting Algorithm for Repair of Stochastic Process Algebra Models. MMB 2020: 190-207
2010 – 2019
- 2019
- [j14]Alexander Gouberman, Markus Siegle, Bharath Tati:
Markov chains with perturbed rates to absorption: Theory and application to model repair. Perform. Evaluation 130: 32-50 (2019) - [c40]Amin Soltanieh, Markus Siegle:
Compositional Model Checking and Model Repair for a Class of Product Form Models. PASM 2019: 129-148 - 2017
- [j13]Alexander Gouberman, Martin Riedl, Markus Siegle:
Analysing reward measures of LARES performability models by discontinuous Markov chains. Int. J. Crit. Comput. Based Syst. 7(1): 22-42 (2017) - [c39]Ulrich Vogl, Markus Siegle:
A New Approach to Predicting Reliable Project Runtimes via Probabilistic Model Checking. EPEW 2017: 117-132 - [c38]Alexander Gouberman, Markus Siegle, Bharath Siva Kumar Tati:
Perturbation of CTMC Trapping Probabilities with Application to Model Repair. VALUETOOLS 2017: 36-43 - 2016
- [c37]Bharath Siva Kumar Tati, Markus Siegle:
Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements. Cassting/SynCoP 2016: 77-89 - 2015
- [c36]Bharath Siva Kumar Tati, Markus Siegle:
Parameter and Controller Synthesis for Markov Chains with Actions and State Labels. SynCoP 2015: 63-76 - 2014
- [j12]Johann Schuster, Markus Siegle:
Markov Automata: Deciding weak bisimulation by means of non-naïvely vanishing states. Inf. Comput. 237: 151-173 (2014) - [c35]Alexander Gouberman, Christophe Grand, Martin Riedl, Markus Siegle:
An IDE for the LARES Toolset. MMB/DFT 2014: 240-254 - 2013
- [c34]Johann Schuster, Markus Siegle:
Lattice structures for bisimilar Probabilistic Automata. INFINITY 2013: 1-15 - [e4]Kaustubh R. Joshi, Markus Siegle, Mariëlle Stoelinga, Pedro R. D'Argenio:
Quantitative Evaluation of Systems - 10th International Conference, QEST 2013, Buenos Aires, Argentina, August 27-30, 2013. Proceedings. Lecture Notes in Computer Science 8054, Springer 2013, ISBN 978-3-642-40195-4 [contents] - [e3]Markus Siegle:
Second Workshop on Quantitative Models for Performance and Dependability, QMPD 2012, Vilnius, Lithuania, July 8-11, 2012. Electronic Notes in Theoretical Computer Science 291, Elsevier 2013 [contents] - 2012
- [c33]Johann Schuster, Markus Siegle:
Scale-Freeness of SPA Models with Weighted Immediate Actions. EPEW/UKPEW 2012: 48-62 - [c32]Alexander Gouberman, Martin Riedl, Johann Schuster, Markus Siegle:
A Modelling and Analysis Environment for LARES. MMB/DFT 2012: 244-248 - [c31]Alexander Gouberman, Markus Siegle:
Markov Reward Models and Markov Decision Processes in Discrete and Continuous Time: Performance Evaluation and Optimization. ROCKS 2012: 156-241 - [c30]Markus Siegle:
Preface. QMPD 2012: 1-2 - [p1]Jeremy T. Bradley, Lucia Cloth, Richard A. Hayden, Leïla Kloul, Philipp Reinecke, Markus Siegle, Nigel Thomas, Katinka Wolter:
Scalable Stochastic Modelling for Resilience. Resilience Assessment and Evaluation of Computing Systems 2012: 115-149 - [i1]Johann Schuster, Markus Siegle:
Markov Automata: Deciding Weak Bisimulation by means of non-naively Vanishing States. CoRR abs/1205.6192 (2012) - 2011
- [e2]Bo Hu, Karl Morasch, Stefan Pickl, Markus Siegle:
Operations Research Proceedings 2010, Selected Papers of the Annual International Conference of the German Operations Research Society, Universität der Bundeswehr, München, September 1-3, 2010. Springer 2011, ISBN 978-3-642-20008-3 [contents] - 2010
- [j11]Kai Lampka, Markus Siegle, Jörn Ossowski, Christel Baier:
Partially-shared zero-suppressed multi-terminal BDDs: concept, algorithms and applications. Formal Methods Syst. Des. 36(3): 198-222 (2010) - [c29]Michael Günther, Johann Schuster, Markus Siegle:
Symbolic calculation of k-shortest paths and related measures with the stochastic process algebra tool CASPA. DYADEM-FTS@EDCC 2010: 13-18 - [c28]Johann Schuster, Markus Siegle:
Dependability modelling with the stochastic process algebra tool CASPA. DYADEM-FTS@EDCC 2010: 35-36 - [c27]Alexander Gouberman, Markus Siegle:
On Lifetime Optimization of Boolean Parallel Systems with Erlang Repair Distributions. OR 2010: 187-192
2000 – 2009
- 2009
- [c26]Jens Bachmann, Martin Riedl, Johann Schuster, Markus Siegle:
An Efficient Symbolic Elimination Algorithm for the Stochastic Process Algebra Tool CASPA. SOFSEM 2009: 485-496 - 2008
- [j10]Max Walter, Markus Siegle, Arndt Bode:
OpenSESAME - the simple but extensive, structured availability modeling environment. Reliab. Eng. Syst. Saf. 93(6): 857-873 (2008) - [j9]Boudewijn R. Haverkort, Markus Siegle, Maarten van Steen:
Quantitative analysis of gossiping protocols. SIGMETRICS Perform. Evaluation Rev. 36(3): 2 (2008) - [j8]Thomas Krieger, Martin Riedl, Johann Schuster, Markus Siegle:
A view-probability-matrix approach to the modelling of gossiping protocols. SIGMETRICS Perform. Evaluation Rev. 36(3): 23-30 (2008) - [c25]Johann Schuster, Markus Siegle:
A Symbolic Multilevel Method with Sparse Submatrix Representation for Memory-Speed-Tradeoff. MMB 2008: 191-206 - [c24]Martin Riedl, Johann Schuster, Markus Siegle:
Recent Extensions to the Stochastic Process Algebra Tool CASPA. QEST 2008: 113-114 - 2007
- [j7]Christel Baier, Lucia Cloth, Boudewijn R. Haverkort, Matthias Kuntz, Markus Siegle:
Model Checking Markov Chains with Actions and State Labels. IEEE Trans. Software Eng. 33(4): 209-224 (2007) - [c23]Kai Lampka, S. Harwarth, Markus Siegle:
Can matrix-layout-independent numerical solvers be efficient?: implementing the Moebius state-level abstract functional interface for ZDDs. VALUETOOLS 2007: 78 - 2006
- [c22]Kai Lampka, Markus Siegle, Max Walter:
An Easy-to-Use, Efficient Tool-Chain to Analyze the Availability of Telecommunication Equipment. FMICS/PDMC 2006: 35-50 - [c21]Markus Siegle:
Verifying Finite State Machines in Probabilistic Environments. MBMV 2006: 248-254 - [c20]Kai Lampka, Markus Siegle:
Activity-local symbolic state graph generation for high-level stochastic models. MMB 2006: 245-264 - [c19]Matthias Kuntz, Markus Siegle:
CASPA: Symbolic model checking of stochastic systems. MMB 2006: 465-468 - [c18]Matthias Kuntz, Markus Siegle:
Symbolic Model Checking of Stochastic Systems: Theory and Implementation. SPIN 2006: 89-107 - [c17]Kai Lampka, Markus Siegle:
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs. VALUETOOLS 2006: 35 - 2004
- [c16]Christel Baier, Lucia Cloth, Boudewijn R. Haverkort, Matthias Kuntz, Markus Siegle:
Model Checking Action- and State-Labelled Markov Chains. DSN 2004: 701-710 - [c15]Matthias Kuntz, Markus Siegle, Edith Werner:
Symbolic Performance and Dependability Evaluation with the Tool CASPA. FORTE Workshops 2004: 293-307 - [e1]Christel Baier, Boudewijn R. Haverkort, Holger Hermanns, Joost-Pieter Katoen, Markus Siegle:
Validation of Stochastic Systems - A Guide to Current Research. Lecture Notes in Computer Science 2925, Springer 2004, ISBN 3-540-22265-0 [contents] - 2003
- [j6]Holger Hermanns, Marta Z. Kwiatkowska, Gethin Norman, David Parker, Markus Siegle:
On the use of MTBDDs for performability analysis and verification of stochastic systems. J. Log. Algebraic Methods Program. 56(1-2): 23-67 (2003) - [j5]Holger Hermanns, Joost-Pieter Katoen, Joachim Meyer-Kayser, Markus Siegle:
A tool for model-checking Markov chains. Int. J. Softw. Tools Technol. Transf. 4(2): 153-172 (2003) - [c14]Holger Hermanns, Joost-Pieter Katoen, Joachim Meyer-Kayser, Markus Siegle:
ETMCC: Model Checking Performability Properties of Markov Chains. DSN 2003: 673- - 2002
- [c13]Matthias Kuntz, Markus Siegle:
Deriving Symbolic Representations from Stochastic Process Algebras. PAPM-PROBMIV 2002: 188-206 - 2001
- [c12]Markus Siegle:
Advances in Model Representations. PAPM-PROBMIV 2001: 1-22 - 2000
- [j4]Holger Hermanns, Ulrich Herzog, Ulrich Klehmet, Vassilis Mertsiotakis, Markus Siegle:
Compositional performance modelling with the TIPPtool. Perform. Evaluation 39(1-4): 5-35 (2000) - [c11]Holger Hermanns, Joost-Pieter Katoen, Joachim Meyer-Kayser, Markus Siegle:
Towards Model Checking Stochastic Process Algebra. IFM 2000: 420-439 - [c10]Holger Hermanns, Joost-Pieter Katoen, Joachim Meyer-Kayser, Markus Siegle:
A Markov Chain Model Checker. TACAS 2000: 347-362
1990 – 1999
- 1999
- [c9]Holger Hermanns, Markus Siegle:
Bisimulation Algorithms for Stochastic Process Algebras and Their BDD-Based Implementation. ARTS 1999: 244-264 - [c8]Holger Hermanns, Vassilis Mertsiotakis, Markus Siegle:
TIPPtool: Compositional Specification and Analysis of Markovian Performance Models. CAV 1999: 487-490 - [c7]Holger Hermanns, Markus Siegle:
Symbolic Minimisation of Stochastic Process Algebra Models. FBT 1999: 73-82 - [c6]Markus Siegle:
Compositional Representation and Reduction of Stochastic Labelled Transition Systems based on Decision Node BDDs. MMB 1999: 173-185 - 1998
- [c5]Holger Hermanns, Ulrich Herzog, Ulrich Klehmet, Vassilis Mertsiotakis, Markus Siegle:
Compositional Performance Modelling with TIPPtool. Computer Performance Evaluation (Tools) 1998: 51-62 - 1996
- [j3]Chenglian Peng, Rainer Klar, Richard Hofmann, Peter Dauphin, Markus Siegle:
Combining gprof and event-driven monitoring for analyzing distributed programs: a rough view of NCSA mosaic. J. Comput. Sci. Technol. 11(4): 427-432 (1996) - 1995
- [b2]Rainer Klar, Peter Dauphin, Franz Hartleb, Richard Hofmann, Bernd Mohr, Andreas Quick, Markus Siegle:
Messung und Modellierung paralleler und verteilter Rechensysteme. Vieweg+Teubner Verlag 1995, ISBN 978-3-519-02144-5 - [b1]Markus Siegle:
Beschreibung und Analyse von Markovmodellen mit grossem Zustandsraum. University of Erlangen-Nuremberg, Germany, 1995, pp. 1-143 - [j2]Markus Siegle, Andreas Quick, Rainer Klar, Peter Dauphin, Franz Hartleb:
Modellierung und Meßunterstützung mit dem Werkzeug PEPP. Informationstechnik Tech. Inform. 37(3): 41-47 (1995) - 1994
- [j1]Richard Hofmann, Rainer Klar, Bernd Mohr, Andreas Quick, Markus Siegle:
Distributed Performance Monitoring: Methods, Tools, and Applications. IEEE Trans. Parallel Distributed Syst. 5(6): 585-598 (1994) - [c4]Markus Siegle:
Reduced Markov Models Of Parallel Programs With Replicated Processes. PDP 1994: 126-133 - 1993
- [c3]Markus Siegle:
Using Structured Modelling for Efficient Performance Prediction of Parallel Systems. PARCO 1993: 453-460 - 1992
- [c2]Markus Siegle, Richard Hofmann:
Monitoring Program Behaviour on SUPRENUM. ISCA 1992: 332-341 - 1991
- [c1]Markus Siegle, Douglas S. Reeves, Krzysztof Kozminski:
The Interlocking Bus Network for Fault-Tolerant Processor Arrays. Fault-Tolerant Computing Systems 1991: 348-359
Coauthor Index
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last updated on 2024-12-02 21:26 CET by the dblp team
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