Virtual environment modeling for requirements validation of high consequence systems
Victor Winter, D. Desovski
- Year
- 2002
- Citations
- 12
Abstract
An essential type of "evidence" of the correctness of the requirements formalization process can be provided by human-based calculation. Human calculation can be significantly amplified by shifting from symbolic representations to graphical representations. Having a formally-defined system model, we can visualize formulas that represent the functional behavior of the system and associated safety constraints. This, in turn, provides an environment for the validation of system models. The visual model strengthens the specifier's ability to grasp the system's complexity, build a correct mental model of the system and write the symbolic specification. The visual model can also serve as a bridge between the domain expert and symbolic specification, and provide evidence of the correctness of the formalization process. As a case study, we developed a virtual environment model for the Production Cell robotic system. The model runs in the ImmersaDesk virtual reality environment. We used this model to evaluate the applicability of virtual reality environments for software requirements validation. Although it introduces higher cost in the requirements formalization phase, this approach can be very beneficial in the development of high-consequence systems.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002