Analytic Methods in Systems and Software Testing
John Wiley & Sons (Verlag)
978-1-119-27150-5 (ISBN)
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
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.
This book
- 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
- Is 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.
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.
List of Contributors
Preface
Part I: Testing Concepts and Methods
1 Recent Advances in Classifying Risk-Based Testing Approaches
Michael Felderer, Jurgen Grossmann, and Ina Schieferdecker
2 Improving Software Testing with Causal Modeling
Norman Fenton and Martin Neil
3 Optimal Software Testing across Version Releases
Simon P. Wilson and Sean O Riordain
4 Incremental Verification and Coverage Analysis of Strongly Distributed Systems
Elena V. Ravve and Zeev Volkovich
5 Combinatorial Testing: An Approach to Systems and Software Testing Based on Covering Arrays
Joseph Morgan
6 Conceptual Aspects in Development and Teaching of System and Software Test Engineering
Dani Almog, Ron S. Kenett, Uri Shafrir, and Hadas Chasidim
Part II: Statistical Models
7 Non-homogeneous Poisson Process Models for Software Reliability
Steven E. Rigdon
8 Bayesian Graphical Models for High Complexity Testing: Aspects of Implementation
David Wooff, Michael Goldstein, and Frank Coolen
9 Models of Software Reliability
Shelemyahu Zacks
10 Improved Estimation of System Reliability with Application in Software Development
Beidi Qiang and Edsel A. Pena
11 Decision Models for Software Testing
Fabrizio Ruggeri and Refik Soyer
12 Modeling and Simulations in Control Software Design
Jiri Koziorek, Stepan Ozana, Vilem Srovnal, and Tomas Docekal
Part III: Testing Infrastructures
13 A Temperature Monitoring Infrastructure and Process for Improving Data Center Energy Efficiency with Results for an HPC Data Center
Sarah E. Michalak, Amanda M. Bonnie, Andrew J. Montoya, Curtis B. Storlie, William N. Rust, Lawrence O. Ticknor, Laura A. Davey, Thomas E. Moxley III, and Brian J. Reich
14 Agile Testing with User Data in Cloud and Edge Computing Environments
Ron S. Kenett, Avi Harel, and Fabrizio Ruggeri
15 Automated Software Testing
Xiaoxu Diao, Manuel Rodriguez, Boyuan Li, and Carol Smidts
16 Dynamic Test Case Selection in Continuous Integration: Test Result Analysis using the Eiffel Framework
Daniel Stahl and Jan Bosch
17 An Automated Regression Testing Framework for a Hadoop-Based Entity Resolution System
Daniel Pullen, Pei Wang, Joshua R. Johnson, and John R. Talburt
Part IV: Testing Applications
18 Testing Defense Systems
Laura J. Freeman, Thomas Johnson, Matthew Avery, V. Bram Lillard, and Justace Clutter
19 A Search-Based Approach to Geographical Data Generation for Testing Location-Based Services
Xiaoying Bai, Kejia Hou, Jun Huang, and Mingli Yu
20 Analytics in Testing Communication Systems
Gilli Shama
21 Measures in Systems Integration Verification and Validation Phase and Aerospace Applications Field Experience
Sarit Assaraf and Ron S. Kenett
Index
| Erscheinungsdatum | 11.09.2018 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 170 x 250 mm |
| Gewicht | 1002 g |
| Einbandart | gebunden |
| Themenwelt | Informatik ► Software Entwicklung ► Qualität / Testen |
| Schlagworte | Softwareentwicklung • Softwarequalität • Testen |
| ISBN-10 | 1-119-27150-9 / 1119271509 |
| ISBN-13 | 978-1-119-27150-5 / 9781119271505 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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