1st Edition
by Ron S. Kenett (Editor), Fabrizio Ruggeri (Editor), Frederick W. Faltin (Editor)
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.