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Integration testing, definition

Once the software design specification is produced and approved it is possible to generate a software module integration test specification. It is advantageous to produce these documents in parallel so that software definition and testing correspond. [Pg.599]

The criterion (8.2.3) is posed in terms of conceptuals, but to perform the test, it must be connected to measurables. For computations based on a volumetric equation of state, it is usually convenient to relate g to measurables via fugadty coefficients. So we integrate the definition of the fugacity (4.3.10) from pure state vAT, P) to pure state i fc(T, P),... [Pg.322]

The integral of the Gaussian distribution function does not exist in closed form over an arbitrary interval, but it is a simple matter to calculate the value of p(z) for any value of z, hence numerical integration is appropriate. Like the test function, f x) = 100 — x, the accepted value (Young, 1962) of the definite integral (1-23) is approached rapidly by Simpson s rule. We have obtained four-place accuracy or better at millisecond run time. For many applications in applied probability and statistics, four significant figures are more than can be supported by the data. [Pg.16]

The integration of analytical methods in European standards requires their acceptance by several national experts within special working groups and in a final weighted vote of National Standards Bodies. Therefore, there needs to be very high confidence in the performance of methods. Consequently, methods should be tested in inter-laboratory method validation studies, with the exception of those multiresidue methods which are widely used throughout Europe. In the case of CEN methods there is no doubt about residue definition but detailed requirements about the number of matrices and concentration levels in validation experiments do not exist. Eor this reason it may be that CEN methods are validated for important crops only. [Pg.130]

ISO defines validation as Conformation by examination and provision of objective evidence that the particular requirements for a specified intended use are fulfilled. This is decided by using a number of performance characteristics. These are specificity, linearity, range, accuracy, precision, detection limit (DL), quantitation limit (QL), and robusmess. System suitability testing (SST) is an integral part of many analytical procedures. Definitions of these terms based on the recommendations of the ICH Guideline Q2 (Rl) are given in Table... [Pg.226]

Graphs of log (1 - A/Y0) vs. t are commonly used to test the validity of Eq. (2.10). However, Eq. (2.11), like Eq. (2.8), shows more complex behavior than simple graphical methods reveal. Thus, one should be cautious about making definitive statements concerning rate constants and particularly mechanisms, based solely on data according to integrated equations like those in Eqs. (2.9) and (2.10) unless other reaction mechanisms have been ruled out. [Pg.9]

Audit Definition (ANSI). To conduct an independent review and examination of system records and activities in order to test the adequacy and effectiveness of data security and data integrity procedures, to ensure compliance with established policy and operational procedures, and to recommend any necessary changes. [Pg.359]

This chapter has reviewed the basic principles of computer-aided drug design, and several strategies of how it can be successfully integrated with combinatorial chemistry to develop highly effective site-focused libraries. Diversity plays a key role, as the more diverse set of compounds tested that fit the site-focused criteria, the more information is retrieved to improve the site-focused definition, which further directs the search in diversity space. In addition, if good hits are found, the information can be fed back to find compounds close in diverse space to the hit. This new paradigm for structure-based combinatorial chemistry should provide a powerful tool for rapid discovery of novel, potent lead compounds in the years to come. [Pg.170]

A few comments about the method are warranted. The controlled (dominant) variables, Ycd, should be measured such that they belong to the set Yd for rapid control. Similarly, the manipulators in the feedback control loops should belong to the set, Ud. The feedback controllers should have integral action (PI controllers). These can be tuned with minimal information (e.g., ultimate gain and frequency from a relay test). The model Ms is usually quite simple and can be developed from operating data using statistical regressions. This works because the model includes all the dominant variables of the system, Y d, as independent variables by way of their setpoints, Y. The definition of domi-... [Pg.117]


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See also in sourсe #XX -- [ Pg.42 ]




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