DEVELOPMENT OF A QUALITY ASSURANCE FRAMEWORK FOR SIMULATOR DEVELOPMENT: INTEGRATION OF CUTTING-EDGE THEORIES AND BEST PRACTICES (SYSTEMATIC LITERATURE REVIEW 2020–2025)
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Ekanesti Ruswidia Sari
Heriana
This study presents a Quality Assurance (QA) framework for simulator development, integrating the theories of Total Quality Management (TQM), ISO 25010, Capability Maturity Model Integration (CMMI), and Agile Quality Assurance. A systematic literature review (SLR) was conducted on peer-reviewed publications and internationally accredited standards in Scopus from 2020 to 2025. The results of the review indicate that QA for simulator development must be multidimensional: user-oriented design, continuous improvement, software reliability, verification and validation (V&V), and data-driven feedback. The proposed QA framework was validated through benchmarking of best practices and the latest industry standards, with the aim of improving the reliability and effectiveness of next-generation simulators.
Banschoica, L., Deac, A., & Monea, M. (2022). Quality Assurance in Distributed Simulation-Based Training Systems. IEEE Access, 10, 93609-93628. https://doi.org/10.1109/ACCESS.2022.3203032
Corey, J.M. (2023). Evolution and Optimization of Flight Simulator Technologies for Next-Gen Fighter Aircraft. Simulation Modelling Practice and Theory, 137, 102607. https://doi.org/10.1016/j.simpat.2023.102607
Coster, N., et al. (2023). Software Quality Characteristics in Simulation: ISO 25010 in Practice. Simulation Modelling Practice and Theory, 136, 102521. https://doi.org/10.1016/j.simpat.2023.102521
ISO/IEC 25010:2011. (2011). Systems and software engineering—Systems and software Quality Requirements and Evaluation (SQuaRE)—System and software quality models. Geneva: ISO.
Juran, J.M., & Godfrey, A.B. (1999). Juran’s Quality Handbook (5th Edition). McGraw-Hill.
Khoshraftar, S., et al. (2022). Application of TQM Principles in Safety-Critical Systems. IEEE Access, 10, 82642–82662. https://doi.org/10.1109/ACCESS.2022.3188215
Malik, S., et al. (2024). Verification and Validation Approaches for Hardware-in-the-Loop Simulator Systems. Simulation Modelling Practice and Theory, 139, 102678. https://doi.org/10.1016/j.simpat.2024.102678
Moher, D., et al. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Nidheesh, P.V., et al. (2021). CMMI Adoption for High-Reliability Simulation Projects. Systems Engineering, 24(3), 378-388. https://doi.org/10.1002/sys.21544
Pagano, D., et al. (2022). QA in Agile Simulator Teams: Lessons Learned. Journal of Systems and Software, 192, 111377. https://doi.org/10.1016/j.jss.2022.111377
Paulk, M.C., et al. (1993). Capability Maturity Model for Software, Version 1.1. Software Engineering Institute, Carnegie Mellon University.
Sargent, R.G. (2013). Verification and Validation of Simulation Models. Journal of Simulation, 7(1), 12-24 . https://doi.org/10.1057/jos.2012.20
