Showing 1 - 10 of 324
Evaluation of output images carrying visual semantics is a challenging task which is carried out by domain experts through visual inspection. Automatic test oracle is required to augment the test oracle problem and to eliminate the manual efforts. Metamorphic testing is an effective technique to...
Persistent link: https://www.econbiz.de/10012047763
Persistent link: https://www.econbiz.de/10012166187
Persistent link: https://www.econbiz.de/10012125742
A supersaturated design is a factorial design in which the number of effects to be estimated is greater than the number of runs. It is used in many experiments, for screening purpose, i.e., for studying a large number of factors and identifying the active ones. In this paper, we propose a method...
Persistent link: https://www.econbiz.de/10010995027
In the study of large, complex computer simulation models the user is often overwhelmed by the vast number of input variables. Moreover, he or she is usually confused about how to make an effective analysis of the model without performing an excessive number of runs, which tend to be costly and...
Persistent link: https://www.econbiz.de/10009209091
We present a general recipe for constructing experiment design and analysis procedures that simultaneously provide indifference-zone selection and multiple-comparison inference for choosing the best among k simulated systems. We then exhibit two such procedures that exploit the...
Persistent link: https://www.econbiz.de/10009209251
When the simulation department of Management Science was created in 1978 it ushered in an era of significant methodological advances in stochastic simulation. However, the foundation for the field---not just the work that has been published in Management Science---was provided by two papers...
Persistent link: https://www.econbiz.de/10009204174
certain class of metamodels, we give the frequency domain hypothesis and develop the corresponding hypothesis test. Minimum … simulation model run length information for FDM is provided for a subclass of these metamodels. We discuss factor screening …
Persistent link: https://www.econbiz.de/10009208510
Persistent link: https://www.econbiz.de/10014456556
Data truncation is a commonly accepted method of dealing with initialization bias in discrete-event simulation. An algorithm for determining the appropriate initial-data truncation point for univariate output is proposed. The technique entails averaging across independent replications and...
Persistent link: https://www.econbiz.de/10009191319