Verification techniques

Verification techniques which verify and evaluate the quality of solutions in relation to the specification q. 

There is a need for verification techniques in DFQ that can be used in the early and critical product development phases, where the quality is determined, i.e. can be applied on abstract and incomplete product models (Morup, 1993). The CA methodology is largely a verification technique that aims to achieve this. 

First examine Example VII - 6. This is one possible version of Example VII - 4 altered to meet the conditions of our verification procedure. Of course, one need not in general transform the program itself one can in practice apply the verification technique "as if" the transformation had already been made, provided extreme care is taken with the identity of the various variables and parameters. 

The justification associated with a refinement can be formal or informal it could even simply say, Joe said this will work. The verification techniques can be applied in varying degrees of rigor, from casual inspection to mathematical proof. In between, there is the more cost-effective option of making refinements the focus of design reviews and basing systematically defined test code on the specifications (see Figure 6.43). 

Verification and validation methodologies must be determined at this stage. Verification techniques are the methods used to determine that the expert system has been built correctly. 

Verification techniques for the software, knowledge base, and interfaces should be derived from the expert system s functional requirements. Steps taken and methods used to verify the expert system need to be mapped from the components up through interfaces and software module interactions. The operational points of the expert system that need to be validated - such as scope and effectiveness - are identified at this point. 

NOTE The data and facilities associated with the example described in this chapter have been tailored to enhance the understanding of the SIL verification techniques and procedures. The facilities do not necessarily comply with national or international norms and should not be used as the basis for any design. 

Several guidelines have been developed over the years for organizing this naive but usefiil verification technique to make it more systematic and reliable. These guidelines are based on experience, common sense, and subjective factors. 

Generally machine tool accuracy is obtained by reducing the influence of qausi-static errors, especially geometric error. Since these source of error is the main contributor to overall error of the machine tool. The different verification techniques used in order to improve the accuracy of the machine reducing the influence of geometric errors are divided into direct measurement techniques [3-4] and indirect measurement techniques of errors [5-8]. Verification by direct measurement of errors is based on the calculated independently to each one geometrical error of the machine tool using measurement system with known dimensions. Errors obtained in a position of the MT... 

Double flank roll testing as verification technique for micro gears... 

A broad range of verification techniques for gears are currently available in the market but not so many seem to be valid or extrapolated for a micro range (Figure 1). Thus a thorough analysis of these techniques and a definition of a double flank rolling test for micro gears were accomplished in this paper. 

Therefore, provided the faults most related to the safety of the system are being identified through the combination of analysis and verification techniques embodied by the objectives from Level C upwards to Level A, the objective of showing that the system is acceptably safe can be achieved, irrespective of the criticisms of the effectiveness of MCDC testing. 

Tahar, S. and Kumar, R. (1995) Formal Specification and Verification Techniques for RISC Pipeline Conflicts In Computer Jountal, Vol. 38, No. 2,1995. 

Moreover, Nepal is able to deal with real network topologies and with the real implementation of protocols, instead of a mathematical model. Thus, it can discover problems related to all the features of protocols, including those features that are impossible to handle with formal verification techniques. 

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