2.2.1 Test time reduction by optimal test sequencing1

Boumen, R.; Jong, I.S.M. de; Mortel-Fronczak, J.M. van de; Rooda, J.E.

doi:10.1002/j.2334-5837.2006.tb02741.x

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Testing impacts on the schedule, use of resources, budget, and final performance(s) of the product or service. The high costs and impacts of remediating defects discovered after the product or service is in operation cause great consternation when deciding what to test (Boumen et al 2006). From an integration perspective, the Integration in Systems Engineering Context purpose of testing is to show that the functions are required by the final product or service are substantiated in a manner that invokes the desired behaviors of the users.…”

Section: Engineering Systems Integrationmentioning

confidence: 99%

Engineering Systems Integration

Langford¹

2016

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Systems engineering is the glue that holds together complex creations and enables them to perform beneficial functions. The current demand for systems engineers outpaces all but a very few other fields, and Gary Langford is eminently qualified to inform those who seek to work or want to work effectively in this crucial endeavor.Engineering Systems Integration: Theory, Metrics, and Methods fills a glaring gap faced when we consider and then carry out systems integration. This book offers a sound approach to planning for systems integration. It treats integration as a fundamental approach based on common-sense rationale. The activities of integration are discussed in a clear and straightforward manner.Gary Langford brings his practical experience in integrating large and small systems to a wide audience in different fields and disciplines. He has woven considerable technical skills honed in industry with the right blend of academics to deliver a much needed and most readable textbook. There is a great need for this book.

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Section: Engineering Systems Integrationmentioning

confidence: 99%

Engineering Systems Integration

Langford¹

2016

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“…However, the integration model can be extended in several ways to perform a more detailed analysis and to perform a more realistic trade-off for real I&T problems. For example, by including test selection (Boumen et al 2006a), the test time and cost differences between testing with models and realizations can be incorporated in the model, as well as test coverage and the risks of faults in the system. In this way, decisions like longer but cheaper model testing or shorter but more expensive realization testing can automatically be made by the sequencing algorithm.…”

Section: Figure 5 Information Used In the Integration Modelmentioning

confidence: 99%

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

Braspenning

Ploeg

Mortel-Fronczak

et al. 2007

INCOSE International Symp

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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.

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8.2.3 Optimal integration and test planning applied to lithographic systems1

Boumen

Jong

Mortel-Fronczak

et al. 2007

INCOSE International Symp

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Abstract. In the current integration and test phase of the development of a complex system, (the "right side" of the V-model) planning is becoming more and more difficult because of: 1) variability in delivery times of components, 2) failing tests and subsequent repairs, 3) resource changes and the use of component models, and 4) the growing system complexity and growing number of components and tests. Manually created integration and test plans are often not optimal regarding time-to-market. Furthermore, creating and maintaining these plans costs a lot of effort. In this paper, we introduce a method that allows to automatically create optimal integration and test plans. This method can be used by intelligent enterprises to shorten the timeto-market of a system and to reduce the effort needed to create and maintain integration and test plans. We illustrate this method with two cases studies related to the development of ASML lithographic machines (ASML 2006).

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2.2.1 Test time reduction by optimal test sequencing1

Cited by 4 publications

References 6 publications

Engineering Systems Integration

Engineering Systems Integration

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

8.2.3 Optimal integration and test planning applied to lithographic systems1

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