DescriptionA comprehensive treatment of systems and software testing using state of the art methods and toolsThis 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.Key FeaturesCompiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineeringCombines methods and examples focused on the analytic aspects of systems and software testingCovers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modelsWritten by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consultingStimulates research at the theoretical and practical levelAnalytic 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.Table of ContentsList of Contributors ixPreface xvPart I Testing Concepts andMethods 1Recent Advances in Classifying Risk-Based Testing Approaches 3 – Michael Felderer, Jürgen Großmann, and Ina SchieferdeckerImproving Software Testing with Causal Modeling 27 – Norman Fenton andMartin NeilOptimal Software Testing across Version Releases 65 – Simon P.Wilson and Seán Ó RíordáinIncremental Verification and Coverage Analysis of Strongly Distributed Systems 81 – Elena V. Ravve and Zeev VolkovichCombinatorial Testing: An Approach to Systems and Software Testing Based on Covering Arrays 131 – Joseph MorganConceptual Aspects in Development and Teaching of Systemand Software Test Engineering 159 – Dani Almog, Ron S. Kenett, Uri Shafrir, and Hadas ChasidimPart II Statistical Models 195Non-homogeneous Poisson Process Models for Software Reliability 197 – Steven E. RigdonBayesian Graphical Models for High-Complexity Testing: Aspects of Implementation 213 – DavidWooff,Michael Goldstein, and Frank CoolenModels of Software Reliability 245 – Shelemyahu ZacksImproved Estimation of SystemReliability with Application in Software Development 255 – Beidi Qiang and Edsel A. PeñaDecision Models for Software Testing 277 – Fabrizio Ruggeri and Refik SoyerModeling and Simulations in Control Software Design 287 – Jiri Koziorek, Stepan Ozana, Vilem Srovnal, and Tomas DocekalPart III Testing Infrastructures 327A Temperature Monitoring Infrastructure and Process for Improving Data Center Energy Efficiency with Results for a High Performance Computing Data Center 329 – Sarah E.Michalak, AmandaM. Bonnie, Andrew J. Montoya, Curtis B. Storlie,William N. Rust, Lawrence O. Ticknor, Laura A. Davey, Thomas E.Moxley III, and Brian J. ReichAgile Testing with User Data in Cloud and Edge Computing Environments 353 – Ron S. Kenett, Avi Harel, and Fabrizio RuggeriAutomated Software Testing 373 – Xiaoxu Diao,Manuel Rodriguez, Boyuan Li, and Carol SmidtsDynamic Test Case Selection in Continuous Integration: Test Result Analysis using the Eiffel Framework 405 – Daniel Ståhl and Jan BoschAn Automated Regression Testing Framework for a Hadoop-Based Entity Resolution System 415 – Daniel Pullen, PeiWang, Joshua R. Johnson, and John R. TalburtPart IV Testing Applications 439Testing Defense Systems 441 – Laura J. Freeman, Thomas Johnson,Matthew Avery, V. Bram Lillard, and Justace ClutterA Search-Based Approach to Geographical Data Generation for Testing Location-Based Services 489 – Xiaoying Bai, Kejia Hou, Jun Huang, andMingli YuAnalytics in Testing Communication Systems 501 – Gilli ShamaMeasures in the Systems Integration Verification and Validation Phase and Aerospace Applications Field Experience 515 – Sarit Assaraf and Ron S. KenettIndex 537Authors BiographyRON 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.
