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Books on the topic 'Automatic Validation'

Author: Grafiati

Published: 18 April 2022

Last updated: 30 July 2025

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1

United States. National Aeronautics and Space Administration., ed. Applying independent verification and validation to automatic test equipment. National Aeronautics and Space Administration, 1997.

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2

United States. National Aeronautics and Space Administration., ed. Hardware fault insertion and instrumentation system: Mechanization and validation ; final report. U.S. Dept. of Transportation, Federal Aviation Administration, FAA Technical Center, 1987.

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3

Leitner, Andrea, Daniel Watzenig, and Javier Ibanez-Guzman, eds. Validation and Verification of Automated Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-14628-3.

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4

Martin, Anthony John Michael. Quantitative data validation (automated visual evaluations). De Montfort University, 1999.

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5

Rothlisberger, Matthew James. A tool for automated validation of network protocols. Naval Postgraduate School, 1992.

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6

F, DeSpautz Joseph, ed. Automation and validation of information in pharmaceutical processing. Marcel Dekker, 1998.

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7

Forum, GAMP. GAMP guide for validation of automated systems. Good automated manufacturing practice: GAMP 4. 4th ed. Society for Pharmaceutical and Medical Device Professionals, 2001.

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8

Przigoda, Nils, Robert Wille, Judith Przigoda, and Rolf Drechsler. Automated Validation & Verification of UML/OCL Models Using Satisfiability Solvers. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72814-8.

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9

Engineers, International Society of Pharmaceutical. GAMP good practice guide: Validation of process control systems. ISPE, 2003.

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10

Wingate, Guy. Validating automated manufacturing and laboratory applications: Putting principles into practice. Interpharm Press, 1997.

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11

Association of Iron and Steel Engineers., ed. Software portability and productivity in the steel industry: Step 3 report--concept validation. Association of Iron and Steel Engineers, 1987.

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12

Coifman, Benjamin A. Validating the performance of vehicle classification stations. Ohio Dept. of Transportation, Research & Development, 2012.

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13

National Food Processors Association (U.S.), National Center for Food Safety and Technology (U.S.), Bulletin 43-L Revision Ad Hoc Committee., and National Food Processors Association (U.S.)., eds. Validation guidelines for automated control of food processing systems used for the processing and packaging of preserved foods. 2nd ed. National Food Processors Association, 2002.

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14

Anna, Provancha, Chattam David, and United States. National Aeronautics and Space Administration., eds. Validation of automated payload experiment tool: Final technical report for period 11 September 1992 through 30 July 1995. Research Institute, University of Alabama in Huntsville, 1995.

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15

United States. National Aeronautics and Space Administration., ed. Knowledge-based aircraft automation: Managers guide on the use of artificial intelligence for aircraft automation and verification and validation approach for a neural-based flight controller. National Aeronautics and Space Administration, 1997.

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16

United States. National Aeronautics and Space Administration., ed. Knowledge-based aircraft automation: Managers guide on the use of artificial intelligence for aircraft automation and verification and validation approach for a neural-based flight controller. National Aeronautics and Space Administration, 1997.

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17

United States. National Aeronautics and Space Administration., ed. Knowledge-based aircraft automation: Managers guide on the use of artificial intelligence for aircraft automation and verification and validation approach for a neural-based flight controller. National Aeronautics and Space Administration, 1997.

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18

United States. National Aeronautics and Space Administration., ed. Knowledge-based aircraft automation: Managers guide on the use of artificial intelligence for aircraft automation and verification and validation approach for a neural-based flight controller. National Aeronautics and Space Administration, 1997.

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19

Center, Ames Research, ed. Digital-flight-control-system software written in automated-engineering-design language: A user's guide of verification and validation tools. National Aeronautics and Space Administration, Ames Research Center, 1988.

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20

Saito, Jim. Digital-flight-control-system software written in automated-engineering-design language: A user's guide of verification and validation tools. National Aeronautics and Space Administration, Ames Research Center, 1988.

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21

Saito, Jim. Digital-flight-control-system software written in automated-engineering-design language: A user's guide of verification and validation tools. National Aeronautics and Space Administration, Ames Research Center, 1988.

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22

Center, Ames Research, ed. Digital-flight-control-system software written in automated-engineering-design language: A user's guide of verification and validation tools. National Aeronautics and Space Administration, Ames Research Center, 1988.

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23

International Society of Pharmaceutical Engineers., ed. GAMP good practice guide: IT infrastructure control and compliance. ISPE, 2005.

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24

International Society of Pharmaceutical Engineers., ed. GAMP good practice guide: Global information systems control and compliance. International Society for Pharmaceutical Enginnering, 2005.

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25

Murrin, Jacintha. Evaluation, validation and introduction of a rapid automated immunoassay system: Mini VIDAS for the detection of foodborne pathogens in an accredited laboratory. The Author], 2003.

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26

Vyas, J. Jaidev, Balamurugan Gopalsamy, and Harshavardhan Joshi. Electro-Hydraulic Actuation Systems: Design, Testing, Identification and Validation. Springer, 2018.

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27

Brisbine, Brian P. Computer-aided model generation and validation for dynamic systems. 1998.

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28

Brisbine, Brian P. Computer-aided model generation and validation for dynamic systems. 1998.

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29

Wu, Mengqi, and Kanglin Li. Effective Software Test Automation: Developing an Automated Software Testing Tool. Wiley & Sons, Incorporated, John, 2006.

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30

Wu, Mengqi, and Kanglin Li. Effective Software Test Automation: Developing an Automated Software Testing Tool. Wiley & Sons, Incorporated, John, 2008.

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31

ELIV 2019. VDI Verlag, 2019. http://dx.doi.org/10.51202/9783181023570.

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Der Bericht ist ausschließlich als PDF-Dokument erschienen! Content Foreword 1 ADAS Seeing With Sound – Next-level 3D ultrasonic sensors based on echolocation 5 N. Knappstein, Toposens, Munich Ensuring the reliability, availability and safety of fully automated and autonomous transport systems through modern system architectures 11 J. Heinrich, A. Braasch, Institut für Qualitäts- und Zuverlässigkeitsmanagement GmbH, Wuppertal; F. Plinke, Institut für Qualitäts- und Zuverlässigkeitsmanagement GmbH, Hamburg ADAS/AD Systems: Efficient Testing & Validation – From data acquisition to data analy

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32

Wu, Mengqi, and Kanglin Li. Effective Software Test Automation. Wiley & Sons, Incorporated, John, 2006.

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33

National Aeronautics and Space Administration (NASA) Staff. Validation of Automated Payload Experiment Tool. Independently Published, 2019.

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34

Wishart, Jeffrey, Yan Chen, Steven Como, Narayanan Kidambi, Duo Lu, and Yezhou Yang. Fundamentals of Connected and Automated Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/9780768099829.

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The automotive industry is transforming to a greater degree that has occurred since Henry Ford introduced mass production of the automobile with the Model T in 1913. Advances in computing, data processing, and artificial intelligence (deep learning in particular) are driving the development of new levels of automation that will impact all aspects of our lives including our vehicles. What are Connected and Automated Vehicles (CAVs)? What are the underlying technologies that need to mature and converge for them to be widely deployed? Fundamentals of Connected and Automated Vehicles is written to

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35

Lopez, Orlando. Retrospective Validation Planning for Legacy Automated Systems. Sue Horwood Publishing Ltd, 2002.

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36

deSpautz, Joseph F. Automation and Validation of Information in Pharmaceutical Processing. CRC Press, 1998. http://dx.doi.org/10.1201/9781420000757.

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37

deSpautz, Joseph F. Automation and Validation of Information in Pharmaceutical Processing. Taylor & Francis Group, 1998.

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38

deSpautz, Joseph F. Automation and Validation of Information in Pharmaceutical Processing. Taylor & Francis Group, 1998.

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39

Mitra, Mainak. Mastering Gradle: Master the Technique of Developing, Migrating, and Building Automation Using Gradle. Packt Publishing, Limited, 2015.

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40

Pathrose, Plato. ADAS and Automated Driving: A Practical Approach to Verification and Validation. SAE International, 2022. http://dx.doi.org/10.4271/9781468604146.

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The day will soon come when you will be able to verbally communicate with a vehicle and instruct it to drive to a location. The car will navigate through street traffic and take you to your destination without additional instruction or effort on your part. Today, this scenario is still in the future, but the automotive industry is racing to toward the finish line to have automated driving vehicles deployed on our roads. ADAS and Automated Driving: A Practical Approach to Verification and Validation focuses on how automated driving systems (ADS) can be developed from concept to a product on the

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41

Drechsler, Rolf, Robert Wille, Nils Przigoda, and Judith Przigoda. Automated Validation & Verification of UML/OCL Models Using Satisfiability Solvers. Springer, 2018.

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42

Drechsler, Rolf, Robert Wille, Nils Przigoda, and Judith Przigoda. Automated Validation & Verification of UML/OCL Models Using Satisfiability Solvers. Springer, 2019.

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43

ADAS and Automated Driving : A Practical Approach to Verification and Validation: A Practical Approach to Verification and Validation. SAE International, 2022.

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44

ADAS & Automated Driving – A Practical Approach to Verification & Validation. SAE International, 2022. http://dx.doi.org/10.4271/9781468604139.

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45

Pathrose, Plato. ADAS and Automated Driving: A Practical Approach to Verification and Validation. SAE International, 2022.

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46

Pathrose, Plato. ADAS and Automated Driving: A Practical Approach to Verification and Validation. SAE International, 2022.

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47

Wingate, Guy. Validating Corporate Computer Systems. Taylor & Francis Group, 2019.

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48

Khalkhali, Mohsen, and Yaser Khalighi. Unsettled Topics in Automated Vehicle Data Sharing for Verification and Validation Purposes. SAE International, 2020.

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49

Leitner, Andrea, Daniel Watzenig, and Javier Ibanez-Guzman. Validation and Verification of Automated Systems: Results of the ENABLE-S3 Project. Springer, 2019.

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50

Leitner, Andrea, Daniel Watzenig, and Javier Ibanez-Guzman. Validation and Verification of Automated Systems: Results of the ENABLE-S3 Project. Springer, 2020.

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