Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Monks, Thomas; Currie, Christine S. M.; Onggo, Bhakti Stephan; Robinson, Stewart; Kunc, Martin; Taylor, Simon J. E.
• Is Part Of: Journal of simulation. Volume 13:Issue 1(2019)
• Page Start: 55
• Page End: 67
• Publication Date: 2019-01-02
• Subjects: Simulation -- reporting -- reproducibility -- discrete-event simulation -- agent-based simulation -- system dynamics; Operations research -- Periodicals; Mathematical models -- Periodicals; Simulation methods -- Periodicals; 511.805
• DOI: 10.1080/17477778.2018.1442155
• Languages: English
• ISSNs: 1747-7778

Abstract

Abstract: This study develops a standardised checklist approach to improve the reporting of discrete-event simulation, system dynamics and agent-based simulation models within the field of Operational Research and Management Science. Incomplete or ambiguous reporting means that many simulation studies are not reproducible, leaving other modellers with an incomplete picture of what has been done and unable to judge the reliability of the results. Crucially, unclear reporting makes it difficult to reproduce or reuse findings. In this paper, we review the evidence on the quality of model reporting and consolidate previous work. We derive general good practice principles and three 20-item checklists aimed at Strengthening The Reporting of Empirical Simulation Studies (STRESS): STRESS-DES, STRESS-ABS and STRESS-SD for discrete-event simulation, agent-based simulation and system dynamics, respectively. Given the variety of simulation projects, we provide usage and troubleshooting advice to cover a wide range of situations.