What every computer scientist should know about floating-point arithmetic
ACM Computing Surveys (CSUR)
Repeatability in real-time distributed simulation executions
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
Making scientific computations reproducible
Computing in Science and Engineering
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
MANET simulation studies: the incredibles
ACM SIGMOBILE Mobile Computing and Communications Review - Special Issue on Medium Access and Call Admission Control Algorithms for Next Generation Wireless Networks.: The Digital Library version of this issue has a corrected special issue title compared to the one in the print version of the issue.
Simulation Modeling and Analysis with Expertfit Software
Simulation Modeling and Analysis with Expertfit Software
Guest Editors' Introduction: Reproducible Research
Computing in Science and Engineering
Discrete-Event Modeling and Simulation: A Practitioner's Approach
Discrete-Event Modeling and Simulation: A Practitioner's Approach
Coloured Petri Nets: Modelling and Validation of Concurrent Systems
Coloured Petri Nets: Modelling and Validation of Concurrent Systems
On credibility of simulation studies of telecommunication networks
IEEE Communications Magazine
Safe: simulation automation framework for experiments
Proceedings of the Winter Simulation Conference
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Reproducibility of experiments is the pillar of a rigorous scientific approach. However, simulation-based experiments often fail to meet this fundamental requirement. In this paper, we first revisit the definition of reproducibility in the context of simulation. Then, we give a comprehensive review of issues that make this highly desirable feature so difficult to obtain. Given that experimental (in-silico) science is only one of the many applications of simulation, our analysis also explores the needs and benefits of providing the simulation reproducibility property for other kinds of applications. Coming back to scientific applications, we give a few examples of solutions proposed for solving the above issues. Finally, going one step beyond reproducibility, we also discuss in our conclusion the notion of traceability and its potential use in order to improve the simulation methodology.