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Software Quality Control, Error, Analysis

Software Quality Control, Error, Analysis;

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Software Error Detection through Testing and Analysis

latent errors. Software Error Detection through Testing and Analysis begins with a thorough discussion of test-case selection and a review;

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Quality of Numerical Software

, maintainable and adaptable. Quality assessment and control of numerical software is still not well understood. Although measurement is a key;

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Inspection Errors for Attributes in Quality Control

This book provides a comprehensive survey of the most recent methodology--both theoretical and applied--on the statistical analysis and;

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Advanced Instrumentation And Computer I/O Design

addresses system error analysis and performance accountability in a comprehensive and up-to-date manner. Covering a wide range of topics from;

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Quality Assurance and Quality Control in the Analytical Chemical Laboratory

quality control systems, then detail validation parameter measurements, the use of statistical tests, counting the margin of error, uncertainty;

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Quality Assurance and Quality Control in the Analytical Chemical Laboratory

quality control systems, then detail validation parameter measurements, the use of statistical tests, counting the margin of error, uncertainty;

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Quality Assurance for Water Analysis

; quality systems and quality control; sources of error including sample contamination method validation; certified reference materials; data;

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Uncertainty Modelling and Quality Control for Spatial Data

, quality control of spatial data, and related research issues in spatial analysis Spatial statistical solutions in spatial data quality;

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Uncertainty Modelling and Quality Control for Spatial Data

, quality control of spatial data, and related research issues in spatial analysis Spatial statistical solutions in spatial data quality;

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Essentials of Error-Control Coding

aspects of Information Theory* EXIT chart performance analysis for iteratively decoded error-control techniques* Heavily illustrated with tables;

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Latent Class Analysis of Survey Error

Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the;

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Error-Control Convolutional Coding

Here is an exceptional reference for gaining first-hand theoretical and practical knowledge of error-control coding and decoding. This book;

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Reliability Modeling, Analysis And Optimization

: Reliability Modeling, Software Quality Engineering, Software Reliability, and Maintenance and Inspection Policies. These sections cover a wide range;

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Data Analytics and Visualization in Quality Analysis using Tableau

practitioners perform effective quality control and analysis using Tableau, a user-friendly data analytics and visualization software. It begins with a;

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Adaptive Control Approach For Software Quality Improvement

This book focuses on the topic of improving software quality using adaptive control approaches. As software systems grow in complexity;

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Introductory Medical Statistics, 3rd edition

success, cure, and quality of life Risk specification Case-control and cohort epidemiological studies Glossary of terms The major;

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Introductory Medical Statistics, 3rd edition

success, cure, and quality of life Risk specification Case-control and cohort epidemiological studies Glossary of terms The major;

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Control in Bioprocessing

framework necessary for the analysis and characterization of bioprocess dynamics. Part II, Observability and control concepts, presents the;

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Rheology in Plastics Quality Control

the use of rheology for quality control.;

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Formal Verification of Concurrent Embedded Software

static software analysis, being able to detect runtime errors in software, has become a standard in the automotive domain. The most critical;

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Control Modes on Mobile Software Platforms

This work highlights the importance of informal control modes on software platforms regarding their positive effects on third-party;

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Assessment and Control of Software Risks

control therapies available. KEY TOPICS: Considers in depth the software-related risks in the domains of methodologies, tools, organization;

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Safety and Human Error in Engineering Systems

in subsequent chapters. The author describes the methods that can be used to perform safety and human error analysis in engineering systems and;

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Safety and Human Error in Engineering Systems

in subsequent chapters. The author describes the methods that can be used to perform safety and human error analysis in engineering systems and;

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Software Quality Engineering

measurement and analysis to close the feedback loop for quality assessment and quantifiable improvement. The text's approach and style evolved from;

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Developing Windows Error Messages

offers a detailed analysis of what's wrong with error messages, shows how they might be prevented, and presents new methods of error message;

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