Analytic Methods in Systems and Software Testing
- 10h 59m
- Fabrizio Ruggeri, Frederick W. Faltin, Ron S. Kenett
- John Wiley & Sons (UK)
- 2018
A comprehensive treatment of systems and software testing using state of the art methods and tools
This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling.
Analytic Methods in Systems and Software Testing presents its comprehensive collection of methods in four parts: Part I: Testing Concepts and Methods; Part II: Statistical Models; Part III: Testing Infrastructures; and Part IV: Testing Applications. It seeks to maintain a focus on analytic methods, while at the same time offering a contextual landscape of modern engineering, in order to introduce related statistical and probabilistic models used in this domain. This makes the book an incredibly useful tool, offering interesting insights on challenges in the field for researchers and practitioners alike.
- Compiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineering
- Combines methods and examples focused on the analytic aspects of systems and software testing
- Covers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability models
- Written by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consulting
- Stimulates research at the theoretical and practical level
Analytic Methods in Systems and Software Testing is an excellent advanced reference directed toward industrial and academic readers whose work in systems and software development approaches or surpasses existing frontiers of testing and validation procedures. It will also be valuable to post-graduate students in computer science and mathematics.
About the Authors
RON S. KENETT is Chairman of KPA Ltd and Senior Research Fellow at the Samuel Neaman Institute, Technion, Israel.
FABRIZIO RUGGERI is Research Director at CNR-IMATI, Milano, Italy.
FREDERICK W. FALTIN is Co-Founder of The Faltin Group, Cody, WY, and Associate Professor of Practice, Department of Statistics, Virginia Tech, Blacksburg, VA, USA.
In this Book
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Recent Advances in Classifying Risk-Based Testing Approaches
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Improving Software Testing with Causal Modeling
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Optimal Software Testing across Version Releases
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Incremental Verification and Coverage Analysis of Strongly Distributed Systems
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Combinatorial Testing—An Approach to Systems and Software Testing Based on Covering Arrays
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Conceptual Aspects in Development and Teaching of System and Software Test Engineering
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Non-Homogeneous Poisson Process Models for Software Reliability
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Bayesian Graphical Models for High-Complexity Testing—Aspects of Implementation
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Models of Software Reliability
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Improved Estimation of System Reliability with Application in Software Development
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Decision Models for Software Testing
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Modeling and Simulations in Control Software Design
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A Temperature Monitoring Infrastructure and Process for Improving Data Center Energy Efficiency with Results for a High Performance Computing Data Center
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Agile Testing with User Data in Cloud and Edge Computing Environments
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Automated Software Testing
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Dynamic Test Case Selection in Continuous Integration—Test Result Analysis using the Eiffel Framework
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An Automated Regression Testing Framework for a Hadoop-Based Entity Resolution System
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Testing Defense Systems
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A Search-Based Approach to Geographical Data Generation for Testing Location-Based Services
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Analytics in Testing Communication Systems
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Measures in the Systems Integration Verification and Validation Phase and Aerospace Applications Field Experience
