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Author: Ron S. Kenett Publisher: John Wiley & Sons ISBN: 1119271509 Category : Mathematics Languages : en Pages : 570
Book Description
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.
Author: Ron S. Kenett Publisher: John Wiley & Sons ISBN: 1119271509 Category : Mathematics Languages : en Pages : 570
Book Description
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.
Author: Neha Kaul Publisher: Arcler Press ISBN: 9781774078068 Category : Languages : en Pages :
Book Description
As software has become ubiquitous to our way of life in the 21st century, the role of testing has evolved considerably. Software and Systems Testing Methods provides an educational and practical way of teaching software testing. Anybody who is looking to understand, research and implement software testing can benefit from this book. It covers several aspects of testing starting from the history of testing all the way to practical implementations of testing frameworks. The book delves into the importance of testing by means of real-world case studies, discusses methods of software testing, best practices and provides a comprehensive set of practical yet simple examples of software testing frameworks.
Author: Ron S. Kenett Publisher: John Wiley & Sons ISBN: 1119487404 Category : Mathematics Languages : en Pages : 568
Book Description
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.
Author: Mauro Pezzè Publisher: John Wiley & Sons ISBN: 9788126517732 Category : Languages : en Pages : 0
Book Description
Market_Desc: · IT professionals· Students and Instructors of Computer Science Special Features: · Promotes a vision of software testing & analysis that is integrated into modern software engineering practice· Provides balanced coverage of software testing & analysis approaches, not oriented toward ultra-high reliability or high-speed development approaches· Covers techniques that are suitable for near-term application, with sufficient technical background to indicate how and when to apply them· Presents software testing and static analysis techniques in a coherent framework as complementary approaches for achieving adequate quality at acceptable cost. About The Book: Software Testing & Analysis teaches readers how to test and analyze software to achieve an acceptable level of quality at an acceptable cost. Readers will be able to minimize software failures, increase quality, and effectively manage costs. By incorporating modern topics and strategies, this book will be the standard software-testing textbook. Software Testing and Analysis integrates software testing and analysis techniques into modern software development practice.
Author: Marnie L. Hutcheson Publisher: John Wiley & Sons ISBN: 0471468444 Category : Computers Languages : en Pages : 434
Book Description
A highly anticipated book from a world-class authority who has trained on every continent and taught on many corporate campuses, from GTE to Microsoft First book publication of the two critically acclaimed and widely used testing methodologies developed by the author, known as MITs and S-curves, and more methods and metrics not previously available to the public Presents practical, hands-on testing skills that can be used everyday in real-life development tasks Includes three in-depth case studies that demonstrate how the tests are used Companion Web site includes sample worksheets, support materials, a discussion group for readers, and links to other resources
Author: Rick David Craig Publisher: Artech House ISBN: 9781580537926 Category : Computers Languages : en Pages : 584
Book Description
Gain an in-depth understanding of software testing management and process issues that are critical for delivering high-quality software on time and within budget. Written by leading experts in the field, this book offers those involved in building and maintaining complex, mission-critical software systems a flexible, risk-based process to improve their software testing capabilities. Whether your organization currently has a well-defined testing process or almost no process, Systematic Software Testing provides unique insights into better ways to test your software.This book describes how to use a preventive method of testing, which parallels the software development lifecycle, and explains how to create and subsequently use test plans, test design, and test metrics. Detailed instructions are presented to help you decide what to test, how to prioritize tests, and when testing is complete. Learn how to conduct risk analysis and measure test effectiveness to maximize the efficiency of your testing efforts. Because organizational structure, the right people, and management are keys to better software testing, Systematic Software Testing explains these issues with the insight of the authorsOCO more than 25 years of experience."
Author: Daniel J. Mosley Publisher: Yourdon Press ISBN: Category : Computers Languages : en Pages : 392
Book Description
This guide supplies innovative ideas concerning software quality control and the necessary theoretical and practical considerations of software testing needed by today's data processing practitioners. Features easy-to-understand discussions of software testing methods and contains example test plans designed for real world information systems.
Author: Rex Black Publisher: John Wiley & Sons ISBN: 0470127902 Category : Computers Languages : en Pages : 390
Book Description
A hands-on guide to testing techniques that deliver reliable software and systems Testing even a simple system can quickly turn into a potentially infinite task. Faced with tight costs and schedules, testers need to have a toolkit of practical techniques combined with hands-on experience and the right strategies in order to complete a successful project. World-renowned testing expert Rex Black provides you with the proven methods and concepts that test professionals must know. He presents you with the fundamental techniques for testing and clearly shows you how to select and apply successful strategies to test a system with budget and time constraints. Black begins by discussing the goals and tactics of effective and efficient testing. Next, he lays the foundation of his technique for risk-based testing, explaining how to analyze, prioritize, and document risks to the quality of the system using both informal and formal techniques. He then clearly describes how to design, develop, and, ultimately, document various kinds of tests. Because this is a hands-on activity, Black includes realistic, life-sized exercises that illustrate all of the major test techniques with detailed solutions.
Author: Ilene Burnstein Publisher: Springer Science & Business Media ISBN: 0387216588 Category : Computers Languages : en Pages : 710
Book Description
Based on the needs of the educational community, and the software professional, this book takes a unique approach to teaching software testing. It introduces testing concepts that are managerial, technical, and process oriented, using the Testing Maturity Model (TMM) as a guiding framework. The TMM levels and goals support a structured presentation of fundamental and advanced test-related concepts to the reader. In this context, the interrelationships between theoretical, technical, and managerial concepts become more apparent. In addition, relationships between the testing process, maturity goals, and such key players as managers, testers and client groups are introduced. Topics and features: - Process/engineering-oriented text - Promotes the growth and value of software testing as a profession - Introduces both technical and managerial aspects of testing in a clear and precise style - Uses the TMM framework to introduce testing concepts in a systemmatic, evolutionary way to faciliate understanding - Describes the role of testing tools and measurements, and how to integrate them into the testing process Graduate students and industry professionals will benefit from the book, which is designed for a graduate course in software testing, software quality assurance, or software validation and verification Moreover, the number of universities with graduate courses that cover this material will grow, given the evoluation in software development as an engineering discipline and the creation of degree programs in software engineering.
Author: Glenford J. Myers Publisher: John Wiley & Sons ISBN: 047167835X Category : Reference Languages : en Pages : 255
Book Description
This long-awaited revision of a bestseller provides a practical discussion of the nature and aims of software testing. You'll find the latest methodologies for the design of effective test cases, including information on psychological and economic principles, managerial aspects, test tools, high-order testing, code inspections, and debugging. Accessible, comprehensive, and always practical, this edition provides the key information you need to test successfully, whether a novice or a working programmer. Buy your copy today and end up with fewer bugs tomorrow.
Author: Ron S. Kenett
Author: Ron S. Kenett
Author: Neha Kaul
Author: Ron S. Kenett
Author: Mauro Pezzè
Author: Marnie L. Hutcheson
Author: Rick David Craig
Author: Daniel J. Mosley
Author: Rex Black
Author: Ilene Burnstein
Author: Glenford J. Myers