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Software Testing - Fairouz Tchier - Bog - John Wiley & Sons Inc - Plusbog.dk

Software Testing - Fairouz Tchier - Bog - John Wiley & Sons Inc - Plusbog.dk

Explores and identifies the main issues, concepts, principles and evolution of software testing, including software quality engineering and testing concepts, test data generation, test deployment analysis, and software test management This book examines the principles, concepts, and processes that are fundamental to the software testing function. This book is divided into five broad parts. Part I introduces software testing in the broader context of software engineering and explores the qualities that testing aims to achieve or ascertain, as well as the lifecycle of software testing. Part II covers mathematical foundations of software testing, which include software specification, program correctness and verification, concepts of software dependability, and a software testing taxonomy. Part III discusses test data generation, specifically, functional criteria and structural criteria. Test oracle design, test driver design, and test outcome analysis is covered in Part IV. Finally, Part V surveys managerial aspects of software testing, including software metrics, software testing tools, and software product line testing. - - Presents software testing, not as an isolated technique, but as part of an integrated discipline of software verification and validation - - Proposes program testing and program correctness verification within the same mathematical model, making it possible to deploy the two techniques in concert, by virtue of the law of diminishing returns - - Defines the concept of a software fault, and the related concept of relative correctness, and shows how relative correctness can be used to characterize monotonic fault removal - - Presents the activity of software testing as a goal oriented activity, and explores how the conduct of the test depends on the selected goal - - Covers all phases of the software testing lifecycle, including test data generation, test oracle design, test driver design, and test outcome analysis - Software Testing: Concepts and Operations is a great resource for software quality and software engineering students because it presents them with fundamentals that help them to prepare for their ever evolving discipline.

DKK 897.00
3

Introduction to Flight Testing - James W. (Ohio State University) Gregory

Advances in Questionnaire Design, Development, Evaluation and Testing - - Bog - John Wiley & Sons Inc - Plusbog.dk

Advances in Questionnaire Design, Development, Evaluation and Testing - - Bog - John Wiley & Sons Inc - Plusbog.dk

A new and updated definitive resource for survey questionnaire testing and evaluation Building on the success of the first Questionnaire Development, Evaluation, and Testing (QDET) conference in 2002, this book brings together leading papers from the Second International Conference on Questionnaire Design, Development, Evaluation, and Testing (QDET2) held in 2016. The volume assesses the current state of the art and science of QDET; examines the importance of methodological attention to the questionnaire in the present world of information collection; and ponders how the QDET field can anticipate new trends and directions as information needs and data collection methods continue to evolve. Featuring contributions from international experts in survey methodology, Advances in Questionnaire Design, Development, Evaluation and Testing includes latest insights on question characteristics, usability testing, web probing, and other pretesting approaches, as well as: Recent developments in the design and evaluation of digital and self-administered surveysStrategies for comparing and combining questionnaire evaluation methodsApproaches for cross-cultural and cross-national questionnaire developmentNew data sources and methodological innovations during the last 15 yearsCase studies and practical applications Advances in Questionnaire Design, Development, Evaluation and Testing serves as a forum to prepare researchers to meet the next generation of challenges, making it an excellent resource for researchers and practitioners in government, academia, and the private sector.

DKK 900.00
3

Testing Statistical Assumptions in Research - Abdel Salam G. Abdel Salam - Bog - John Wiley & Sons Inc - Plusbog.dk

Testing Statistical Assumptions in Research - Abdel Salam G. Abdel Salam - Bog - John Wiley & Sons Inc - Plusbog.dk

Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research studyShows readers the adverse effect of violating the assumptions on findings by means of various illustrationsDescribes different assumptions associated with different statistical tests commonly used by research scholarsContains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptionsLooks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.

DKK 900.00
3

Pediatric Non-Clinical Drug Testing - - Bog - John Wiley & Sons Inc - Plusbog.dk