Muutke küpsiste eelistusi

E-raamat: Analytic Methods in Systems and Software Testing [Wiley Online]

Edited by (CNR-IMATI, Italy), Edited by (The Faltin Group, USA), Edited by (KPA Ltd., Israel)
  • Formaat: 568 pages
  • Ilmumisaeg: 24-Aug-2018
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119357055
  • ISBN-13: 9781119357056
Teised raamatud teemal:
  • Wiley Online
  • Hind: 100,44 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Formaat: 568 pages
  • Ilmumisaeg: 24-Aug-2018
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119357055
  • ISBN-13: 9781119357056
Teised raamatud teemal:

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.

List of Contributors
ix
Preface xv
Part I Testing Concepts and Methods
1(194)
1 Recent Advances in Classifying Risk-Based Testing Approaches
3(24)
Michael Felderer
Jurgen Grolimann
Ina Schieferdecker
2 Improving Software Testing with Causal Modeling
27(38)
Norman Fenton
Martin Neil
3 Optimal Software Testing across Version Releases
65(16)
Simon P. Wilson
Sean O Riorddin
4 Incremental Verification and Coverage Analysis of Strongly Distributed Systems
81(50)
Elena V. Ravve
Zeev Volkovich
5 Combinatorial Testing: An Approach to Systems and Software Testing Based on Covering Arrays
131(28)
Joseph Morgan
6 Conceptual Aspects in Development and Teaching of System and Software Test Engineering
159(36)
Dani Almog
Ron S. Kenett
Uri Shafrir
Hadas Chasidim
Part II Statistical Models
195(132)
7 Non-homogeneous Poisson Process Models for Software Reliability
197(16)
Steven E. Rigdon
8 Bayesian Graphical Models for High-Complexity Testing: Aspects of Implementation
213(32)
David Wooff
Michael Goldstein
Frank Coolen
9 Models of Software Reliability
245(10)
Shelemyahu Zacks
10 Improved Estimation of System Reliability with Application in Software Development
255(22)
Beidi Qiang
Edsel A. Pena
11 Decision Models for Software Testing
277(10)
Fabrizio Ruggeri
Refik Soyer
12 Modeling and Simulations in Control Software Design
287(40)
Jiri Koziorek
Stepan Ozana
Vilem Srovnal
Tomas Docekal
Part III Testing Infrastructures
327(112)
13 A Temperature Monitoring Infrastructure and Process for Improving Data Center Energy Efficiency with Results for a High Performance Computing Data Center
329(24)
Sarah E. Michalak
Amanda M. Bonnie
Andrew J. Montoya
Curtis B. Storlie
William N. Rust
Lawrence O. Ticknor
Laura A. Davey
Thomas E. Moxley
Brian J. Reich
14 Agile Testing with User Data in Cloud and Edge Computing Environments
353(20)
Ron S. Kenett
Avi Harel
Fabrizio Ruggeri
15 Automated Software Testing
373(32)
Xiaoxu Diao
Manuel Rodriguez
Boyuan Li
Carol Smidts
16 Dynamic Test Case Selection in Continuous Integration: Test Result Analysis using the Eiffel Framework
405(10)
Daniel Stahl
Jan Bosch
17 An Automated Regression Testing Framework for a Hadoop-Based Entity Resolution System
415(24)
Daniel Pullen
Pel Wang
Joshua R. Johnson
John R. Talburt
Part IV Testing Applications
439(98)
18 Testing Defense Systems
441(48)
Laura J. Freeman
Thomas Johnson
Matthew Avery
V. Bram Lillard
Justace Clutter
19 A Search-Based Approach to Geographical Data Generation for Testing Location-Based Services
489(18)
Xiaoying Bai
Kejia Hou
Jun Huang
Mingli Yu
20 Analytics in Testing Communication Systems
507(8)
Gilli Shama
21 Measures in the Systems Integration Verification and Validation Phase and Aerospace Applications Field Experience
515(22)
Sarit Assaraf
Ron S. Kenett
Index 537
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.