2.3.2 Model‐based techniques for intelligent integration and testing in industry*

Abstract

The effort required for integration and testing of high‐tech multi‐disciplinary systems is increasing with each new or upgraded system that is developed. To counter this trend of increasing integration and test lead time and costs, we propose a model‐based integration and testing (MBI&T) method, where formal and executable models of the system components are used to replace the component realizations for early integration and system testing. In this paper, we describe how the integration and testing process currently used in industry can be made more intelligent by applying model‐based techniques from the MBI&T method. We also show how to analyze the necessary trade‐off between the investments needed for model development and the potential effort reduction, using a systematic and automatic integration sequencing method.

Modeling, Analysis and Implementation of Infrastructure for Model-Based Integration and Testing

“…As shown in [43], integration and test sequencing techniques can be used for this necessary trade-off analysis between required effort and potential benefits of using models for integration and testing. By applying models at places where it is possible and most profitable, the integration and testing process can be improved in terms of time to market, quality, and costs.…”

8.2.3 Optimal integration and test planning applied to lithographic systems1

“…al 2007) and the optimization of integration and test plans for the manufacturing of multiple systems. In (Braspenning et al 2007), the method has been used to determine which component models should be developed to perform tests earlier when the realizations of components are not yet ready.…”