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Verifying Measurement Uncertainties for Every Test Point Against Your Lab’s ISO/IEC 17025 Scope of Accreditation
Digitalization of business processes is essential for future metrology, and all stakeholders, such as calibration labs,…
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Low-Code to No-Code: A Software Development Revolution
Over the past 50 years, computer programming languages have made several significant advancements all focused on…
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Creating Sustainable Metrology Software
We are currently in a 30 year old software rut. There is nothing new on the…
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How to Add Dynamic Measurement Uncertainties to Any Metrology Software
Changing the approach to measurement uncertainties allows software systems and users to share the same resources.…
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An Enterprise Resource View of Metrology Software Systems
Abstract: Software running on a single computer or platform is a thing of the past. Today’s…
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Calibrating a UUT on a Remote Computer Using Fluke MET/CAL®
Abstract: Current and next generation test equipment will be modular and tightly coupled with a computer’s…
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Rethinking the Flexible Standards Paradigm
Abstract: In many of today’s software projects, developers are challenged with the task of designing interchangeable…
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Using Fluke MET/CAL® to Implement a Flexible Measurement Driver Model with Expanded Measurement Uncertainties and Error Checking
Abstract: Writing one or two automated procedures is easy; however, automating an entire calibration lab is…
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Implementing A2LA’s new Budget Requirements for Electrical and RF Uncertainties in Fluke MET/CAL® Procedures
Abstract: In April of 2009, the A2LA Measurement Advisory Committee adopted the minimum required contributors that…
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Spaghetti Code vs. Structured Code
What is spaghetti code? We have all heard the term spaghetti code, but most of us…
