Topic
Verification and validation of computer simulation models
About: Verification and validation of computer simulation models is a research topic. Over the lifetime, 1556 publications have been published within this topic receiving 43203 citations.
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Book•
22 Sep 2014
TL;DR: This nontechnical textbook is focused towards the needs of business, engineering and computer science students and aims to improve efficiency and effectiveness in simulation modelling.
Abstract: Simulation modelling involves the development of models that imitate realworld operations, and statistical analysis of their performance with a view to improving efficiency and effectiveness This nontechnical textbook is focused towards the needs of business, engineering and computer science students
1,019 citations
TL;DR: An extensive review of the literature in V&V in computational fluid dynamics (CFD) is presented, methods and procedures for assessing V &V are discussed, and a relatively new procedure for estimating experimental uncertainty is given that has proven more effective at estimating random and correlated bias errors in wind-tunnel experiments than traditional methods.
948 citations
Book•
04 Oct 1993
TL;DR: In this paper, the authors evaluated four popular algorithmic models used to estimate software costs (SLIM, COCOMO, Function Points, and ESTIMACS) on 15 large completed business data-processing projects and used the accuracy of the models' ex post effort estimation.
Abstract: Practitioners have expressed concern over their inability to accurately estimate costs associated with software development. This concern has become even more pressing as costs associated with development continue to increase. As a result, considerable research attention is now directed at gaining a better understanding of the software-development process as well as constructing and evaluating software cost estimating tools. This paper evaluates four of the most popular algorithmic models used to estimate software costs (SLIM, COCOMO, Function Points, and ESTIMACS). Data on 15 large completed business data-processing projects were collected and used to test the accuracy of the models' ex post effort estimation. One important result was that Albrecht's Function Points effort estimation model was validated by the independent data provided in this study [3]. The models not developed in business data-processing environments showed significant need for calibration. As models of the software-development process, all of the models tested failed to sufficiently reflect the underlying factors affecting productivity. Further research will be required to develop understanding in this area.
851 citations
TL;DR: Verification and validation of computational simulations are the primary methods for building and quantifying this confidence in modeling and simulation.
Abstract: Developers of computer codes, analysts who use the codes, and decision makers who rely on the results of the analyses face a critical question: How should confidence in modeling and simulation be critically assessed? Verification and validation (V&V) of computational simulations are the primary methods for building and quantifying this confidence. Briefly, verification is the assessment of the accuracy of the solution to a computational model. Validation is the assessment of the accuracy of a computational simulation by comparison with experimental data. In verification, the relationship of the simulation to the real world is not an issue. In validation, the relationship between computation and the real world, i.e., experimental data, is the issue.
735 citations
TL;DR: This paper surveys verification and validation of models, especially simulation models in operations research, and discusses general good programming practice (such as modular programming), and checking intermediate simulation outputs through tracing and statistical testing per module.
640 citations