Analytic Methods in Systems and Software Testing

Analytic Methods in Systems and Software Testing
PDF
  • eBook:
    Analytic Methods in Systems and Software Testing
  • Author:
    Ron S. Kenett, Fabrizio Ruggeri, Frederick W. Faltin
  • Edition:
    1 edition
  • Categories:
  • Data:
    September 4, 2018
  • ISBN:
    1119271509
  • ISBN-13:
    9781119271505
  • Language:
    English
  • Pages:
    568 pages
  • Format:
    PDF

Book Description
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.

Content

Part I - Testing Concepts andMethods
1. Recent Advances in Classifying Risk-Based Testing Approaches
2. Improving Software Testing with Causal Modeling
3. Optimal Software Testing across Version Releases
4. Incremental Verification and Coverage Analysis of Strongly Distributed Systems
5. Combinatorial Testing: An Approach to Systems and Software Testing Based on Covering Arrays
6. Conceptual Aspects in Development and Teaching of System and Software Test Engineering

Part II - Statistical Models
7. Non-homogeneous Poisson Process Models for Software Reliability
8. Bayesian Graphical Models for High-Complexity Testing: Aspects of Implementation
9. Models of Software Reliability
10. Improved Estimation of System Reliability with Application in Software Development
11. Decision Models for Software Testing
12. Modeling and Simulations in Control Software Design

Part III - Testing Infrastructures
13. A Temperature Monitoring Infrastructure and Process for Improving Data Center Energy Efficiency with Results for a High Performance Computing Data Center
14. Agile Testing with User Data in Cloud and Edge Computing Environments
15. Automated Software Testing
16. Dynamic Test Case Selection in Continuous Integration: Test Result Analysis using the Eiffel Framework
17. An Automated Regression Testing Framework for a Hadoop-Based Entity Resolution System

Part IV - Testing Applications 
18. Testing Defense Systems
19. A Search-Based Approach to Geographical Data Generation for Testing Location-Based Services
20. Analytics in Testing Communication Systems
21. Measures in the Systems Integration Verification and Validation Phase and Aerospace Applications Field Experience

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