Author: Lee Copeland
Publisher: Artech House
ISBN: 9781580537322
Category : Computers
Languages : en
Pages : 328
Book Description
Written by a leading expert in the field, this unique volume contains current test design approaches and focuses only on software test design. Copeland illustrates each test design through detailed examples and step-by-step instructions.
A Practitioner's Guide to Software Test Design
Author: Lee Copeland
Publisher: Artech House
ISBN: 9781580537322
Category : Computers
Languages : en
Pages : 328
Book Description
Written by a leading expert in the field, this unique volume contains current test design approaches and focuses only on software test design. Copeland illustrates each test design through detailed examples and step-by-step instructions.
Publisher: Artech House
ISBN: 9781580537322
Category : Computers
Languages : en
Pages : 328
Book Description
Written by a leading expert in the field, this unique volume contains current test design approaches and focuses only on software test design. Copeland illustrates each test design through detailed examples and step-by-step instructions.
Developer Testing
Author: Alexander Tarlinder
Publisher: Addison-Wesley Professional
ISBN: 0134291085
Category : Computers
Languages : en
Pages : 629
Book Description
How do successful agile teams deliver bug-free, maintainable software—iteration after iteration? The answer is: By seamlessly combining development and testing. On such teams, the developers write testable code that enables them to verify it using various types of automated tests. This approach keeps regressions at bay and prevents “testing crunches”—which otherwise may occur near the end of an iteration—from ever happening. Writing testable code, however, is often difficult, because it requires knowledge and skills that cut across multiple disciplines. In Developer Testing, leading test expert and mentor Alexander Tarlinder presents concise, focused guidance for making new and legacy code far more testable. Tarlinder helps you answer questions like: When have I tested this enough? How many tests do I need to write? What should my tests verify? You’ll learn how to design for testability and utilize techniques like refactoring, dependency breaking, unit testing, data-driven testing, and test-driven development to achieve the highest possible confidence in your software. Through practical examples in Java, C#, Groovy, and Ruby, you’ll discover what works—and what doesn’t. You can quickly begin using Tarlinder’s technology-agnostic insights with most languages and toolsets while not getting buried in specialist details. The author helps you adapt your current programming style for testability, make a testing mindset “second nature,” improve your code, and enrich your day-to-day experience as a software professional. With this guide, you will Understand the discipline and vocabulary of testing from the developer’s standpoint Base developer tests on well-established testing techniques and best practices Recognize code constructs that impact testability Effectively name, organize, and execute unit tests Master the essentials of classic and “mockist-style” TDD Leverage test doubles with or without mocking frameworks Capture the benefits of programming by contract, even without runtime support for contracts Take control of dependencies between classes, components, layers, and tiers Handle combinatorial explosions of test cases, or scenarios requiring many similar tests Manage code duplication when it can’t be eliminated Actively maintain and improve your test suites Perform more advanced tests at the integration, system, and end-to-end levels Develop an understanding for how the organizational context influences quality assurance Establish well-balanced and effective testing strategies suitable for agile teams
Publisher: Addison-Wesley Professional
ISBN: 0134291085
Category : Computers
Languages : en
Pages : 629
Book Description
How do successful agile teams deliver bug-free, maintainable software—iteration after iteration? The answer is: By seamlessly combining development and testing. On such teams, the developers write testable code that enables them to verify it using various types of automated tests. This approach keeps regressions at bay and prevents “testing crunches”—which otherwise may occur near the end of an iteration—from ever happening. Writing testable code, however, is often difficult, because it requires knowledge and skills that cut across multiple disciplines. In Developer Testing, leading test expert and mentor Alexander Tarlinder presents concise, focused guidance for making new and legacy code far more testable. Tarlinder helps you answer questions like: When have I tested this enough? How many tests do I need to write? What should my tests verify? You’ll learn how to design for testability and utilize techniques like refactoring, dependency breaking, unit testing, data-driven testing, and test-driven development to achieve the highest possible confidence in your software. Through practical examples in Java, C#, Groovy, and Ruby, you’ll discover what works—and what doesn’t. You can quickly begin using Tarlinder’s technology-agnostic insights with most languages and toolsets while not getting buried in specialist details. The author helps you adapt your current programming style for testability, make a testing mindset “second nature,” improve your code, and enrich your day-to-day experience as a software professional. With this guide, you will Understand the discipline and vocabulary of testing from the developer’s standpoint Base developer tests on well-established testing techniques and best practices Recognize code constructs that impact testability Effectively name, organize, and execute unit tests Master the essentials of classic and “mockist-style” TDD Leverage test doubles with or without mocking frameworks Capture the benefits of programming by contract, even without runtime support for contracts Take control of dependencies between classes, components, layers, and tiers Handle combinatorial explosions of test cases, or scenarios requiring many similar tests Manage code duplication when it can’t be eliminated Actively maintain and improve your test suites Perform more advanced tests at the integration, system, and end-to-end levels Develop an understanding for how the organizational context influences quality assurance Establish well-balanced and effective testing strategies suitable for agile teams
Exploratory Software Testing
Author: James A. Whittaker
Publisher: Pearson Education
ISBN: 0321647858
Category : Computers
Languages : en
Pages : 475
Book Description
How to Find and Fix the Killer Software Bugs that Evade Conventional Testing In Exploratory Software Testing, renowned software testing expert James Whittaker reveals the real causes of today’s most serious, well-hidden software bugs--and introduces powerful new “exploratory” techniques for finding and correcting them. Drawing on nearly two decades of experience working at the cutting edge of testing with Google, Microsoft, and other top software organizations, Whittaker introduces innovative new processes for manual testing that are repeatable, prescriptive, teachable, and extremely effective. Whittaker defines both in-the-small techniques for individual testers and in-the-large techniques to supercharge test teams. He also introduces a hybrid strategy for injecting exploratory concepts into traditional scripted testing. You’ll learn when to use each, and how to use them all successfully. Concise, entertaining, and actionable, this book introduces robust techniques that have been used extensively by real testers on shipping software, illuminating their actual experiences with these techniques, and the results they’ve achieved. Writing for testers, QA specialists, developers, program managers, and architects alike, Whittaker answers crucial questions such as: • Why do some bugs remain invisible to automated testing--and how can I uncover them? • What techniques will help me consistently discover and eliminate “show stopper” bugs? • How do I make manual testing more effective--and less boring and unpleasant? • What’s the most effective high-level test strategy for each project? • Which inputs should I test when I can’t test them all? • Which test cases will provide the best feature coverage? • How can I get better results by combining exploratory testing with traditional script or scenario-based testing? • How do I reflect feedback from the development process, such as code changes?
Publisher: Pearson Education
ISBN: 0321647858
Category : Computers
Languages : en
Pages : 475
Book Description
How to Find and Fix the Killer Software Bugs that Evade Conventional Testing In Exploratory Software Testing, renowned software testing expert James Whittaker reveals the real causes of today’s most serious, well-hidden software bugs--and introduces powerful new “exploratory” techniques for finding and correcting them. Drawing on nearly two decades of experience working at the cutting edge of testing with Google, Microsoft, and other top software organizations, Whittaker introduces innovative new processes for manual testing that are repeatable, prescriptive, teachable, and extremely effective. Whittaker defines both in-the-small techniques for individual testers and in-the-large techniques to supercharge test teams. He also introduces a hybrid strategy for injecting exploratory concepts into traditional scripted testing. You’ll learn when to use each, and how to use them all successfully. Concise, entertaining, and actionable, this book introduces robust techniques that have been used extensively by real testers on shipping software, illuminating their actual experiences with these techniques, and the results they’ve achieved. Writing for testers, QA specialists, developers, program managers, and architects alike, Whittaker answers crucial questions such as: • Why do some bugs remain invisible to automated testing--and how can I uncover them? • What techniques will help me consistently discover and eliminate “show stopper” bugs? • How do I make manual testing more effective--and less boring and unpleasant? • What’s the most effective high-level test strategy for each project? • Which inputs should I test when I can’t test them all? • Which test cases will provide the best feature coverage? • How can I get better results by combining exploratory testing with traditional script or scenario-based testing? • How do I reflect feedback from the development process, such as code changes?
Systematic Software Testing
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."
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."
Lessons Learned in Software Testing
Author: Cem Kaner
Publisher: John Wiley & Sons
ISBN: 1118080556
Category : Computers
Languages : en
Pages : 326
Book Description
Softwaretests stellen eine kritische Phase in der Softwareentwicklung dar. Jetzt zeigt sich, ob das Programm die entsprechenden Anforderungen erfüllt und sich auch keine Programmierungsfehler eingeschlichen haben. Doch wie bei allen Phasen im Software-Entwicklungsprozess gibt es auch hier eine Reihe möglicher Fallstricke, die die Entdeckung von Programmfehlern vereiteln können. Deshalb brauchen Softwaretester ein Handbuch, das alle Tipps, Tricks und die häufigsten Fehlerquellen genau auflistet und erläutert, damit mögliche Testfehler von vornherein vermieden werden können. Ein solches Handbuch ersetzt gut und gerne jahr(zehnt)elange Erfahrung und erspart dem Tester frustrierende und langwierige Trial-und-Error-Prozeduren. Chem Kaner und James Bach sind zwei der international führenden Experten auf dem Gebiet des Software Testing. Sie schöpfen hier aus ihrer insgesamt 30-jährigen Erfahrung. Die einzelnen Lektionen sind nach Themenbereichen gegliedert, wie z.B. Testdesign, Test Management, Teststrategien und Fehleranalyse. Jede Lektion enthält eine Behauptung und eine Erklärung sowie ein Beispiel des entsprechenden Testproblems. "Lessons Learned in Software Testing" ist ein unverzichtbarer Begleiter für jeden Software Tester.
Publisher: John Wiley & Sons
ISBN: 1118080556
Category : Computers
Languages : en
Pages : 326
Book Description
Softwaretests stellen eine kritische Phase in der Softwareentwicklung dar. Jetzt zeigt sich, ob das Programm die entsprechenden Anforderungen erfüllt und sich auch keine Programmierungsfehler eingeschlichen haben. Doch wie bei allen Phasen im Software-Entwicklungsprozess gibt es auch hier eine Reihe möglicher Fallstricke, die die Entdeckung von Programmfehlern vereiteln können. Deshalb brauchen Softwaretester ein Handbuch, das alle Tipps, Tricks und die häufigsten Fehlerquellen genau auflistet und erläutert, damit mögliche Testfehler von vornherein vermieden werden können. Ein solches Handbuch ersetzt gut und gerne jahr(zehnt)elange Erfahrung und erspart dem Tester frustrierende und langwierige Trial-und-Error-Prozeduren. Chem Kaner und James Bach sind zwei der international führenden Experten auf dem Gebiet des Software Testing. Sie schöpfen hier aus ihrer insgesamt 30-jährigen Erfahrung. Die einzelnen Lektionen sind nach Themenbereichen gegliedert, wie z.B. Testdesign, Test Management, Teststrategien und Fehleranalyse. Jede Lektion enthält eine Behauptung und eine Erklärung sowie ein Beispiel des entsprechenden Testproblems. "Lessons Learned in Software Testing" ist ein unverzichtbarer Begleiter für jeden Software Tester.
Just Enough Software Test Automation
Author: Daniel J. Mosley
Publisher: Prentice Hall Professional
ISBN: 9780130084682
Category : Computers
Languages : en
Pages : 282
Book Description
Offers advice on designing and implementing a software test automation infrastructure, and identifies what current popular testing approaches can and cannot accomplish. Rejecting the automation life cycle model, the authors favor limited automation of unit, integration, and system testing. They also present a control synchronized data-driven framework to help jump-start an automation project. Examples are provided in the Rational suite test studio, and source code is available at a supporting web site. Annotation copyrighted by Book News, Inc., Portland, OR.
Publisher: Prentice Hall Professional
ISBN: 9780130084682
Category : Computers
Languages : en
Pages : 282
Book Description
Offers advice on designing and implementing a software test automation infrastructure, and identifies what current popular testing approaches can and cannot accomplish. Rejecting the automation life cycle model, the authors favor limited automation of unit, integration, and system testing. They also present a control synchronized data-driven framework to help jump-start an automation project. Examples are provided in the Rational suite test studio, and source code is available at a supporting web site. Annotation copyrighted by Book News, Inc., Portland, OR.
Grokking Deep Learning
Author: Andrew W. Trask
Publisher: Simon and Schuster
ISBN: 163835720X
Category : Computers
Languages : en
Pages : 492
Book Description
Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide
Publisher: Simon and Schuster
ISBN: 163835720X
Category : Computers
Languages : en
Pages : 492
Book Description
Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide
Effective Software Testing
Author: Elfriede Dustin
Publisher: Addison-Wesley Professional
ISBN: 9780201794298
Category : Computers
Languages : en
Pages : 306
Book Description
With the advent of agile methodologies, testing is becoming the responsibility of more and more team members. In this new book, noted testing expert Dustin imparts the best of her collected wisdom. She presents 50 specific tips for a better testing program. These 50 tips are divided into ten sections, and presented so as to mirror the chronology of a software project.
Publisher: Addison-Wesley Professional
ISBN: 9780201794298
Category : Computers
Languages : en
Pages : 306
Book Description
With the advent of agile methodologies, testing is becoming the responsibility of more and more team members. In this new book, noted testing expert Dustin imparts the best of her collected wisdom. She presents 50 specific tips for a better testing program. These 50 tips are divided into ten sections, and presented so as to mirror the chronology of a software project.
Observing the User Experience
Author: Elizabeth Goodman
Publisher: Elsevier
ISBN: 0123848709
Category : Computers
Languages : en
Pages : 601
Book Description
Observing the User Experience: A Practitioner's Guide to User Research aims to bridge the gap between what digital companies think they know about their users and the actual user experience. Individuals engaged in digital product and service development often fail to conduct user research. The book presents concepts and techniques to provide an understanding of how people experience products and services. The techniques are drawn from the worlds of human-computer interaction, marketing, and social sciences. The book is organized into three parts. Part I discusses the benefits of end-user research and the ways it fits into the development of useful, desirable, and successful products. Part II presents techniques for understanding people's needs, desires, and abilities. Part III explains the communication and application of research results. It suggests ways to sell companies and explains how user-centered design can make companies more efficient and profitable. This book is meant for people involved with their products' user experience, including program managers, designers, marketing managers, information architects, programmers, consultants, and investors. - Explains how to create usable products that are still original, creative, and unique - A valuable resource for designers, developers, project managers - anyone in a position where their work comes in direct contact with the end user - Provides a real-world perspective on research and provides advice about how user research can be done cheaply, quickly and how results can be presented persuasively - Gives readers the tools and confidence to perform user research on their own designs and tune their software user experience to the unique needs of their product and its users
Publisher: Elsevier
ISBN: 0123848709
Category : Computers
Languages : en
Pages : 601
Book Description
Observing the User Experience: A Practitioner's Guide to User Research aims to bridge the gap between what digital companies think they know about their users and the actual user experience. Individuals engaged in digital product and service development often fail to conduct user research. The book presents concepts and techniques to provide an understanding of how people experience products and services. The techniques are drawn from the worlds of human-computer interaction, marketing, and social sciences. The book is organized into three parts. Part I discusses the benefits of end-user research and the ways it fits into the development of useful, desirable, and successful products. Part II presents techniques for understanding people's needs, desires, and abilities. Part III explains the communication and application of research results. It suggests ways to sell companies and explains how user-centered design can make companies more efficient and profitable. This book is meant for people involved with their products' user experience, including program managers, designers, marketing managers, information architects, programmers, consultants, and investors. - Explains how to create usable products that are still original, creative, and unique - A valuable resource for designers, developers, project managers - anyone in a position where their work comes in direct contact with the end user - Provides a real-world perspective on research and provides advice about how user research can be done cheaply, quickly and how results can be presented persuasively - Gives readers the tools and confidence to perform user research on their own designs and tune their software user experience to the unique needs of their product and its users
Growing Object-Oriented Software, Guided by Tests
Author: Steve Freeman
Publisher: Pearson Education
ISBN: 0321699769
Category : Computers
Languages : en
Pages : 762
Book Description
Test-Driven Development (TDD) is now an established technique for delivering better software faster. TDD is based on a simple idea: Write tests for your code before you write the code itself. However, this "simple" idea takes skill and judgment to do well. Now there's a practical guide to TDD that takes you beyond the basic concepts. Drawing on a decade of experience building real-world systems, two TDD pioneers show how to let tests guide your development and “grow” software that is coherent, reliable, and maintainable. Steve Freeman and Nat Pryce describe the processes they use, the design principles they strive to achieve, and some of the tools that help them get the job done. Through an extended worked example, you’ll learn how TDD works at multiple levels, using tests to drive the features and the object-oriented structure of the code, and using Mock Objects to discover and then describe relationships between objects. Along the way, the book systematically addresses challenges that development teams encounter with TDD—from integrating TDD into your processes to testing your most difficult features. Coverage includes Implementing TDD effectively: getting started, and maintaining your momentum throughout the project Creating cleaner, more expressive, more sustainable code Using tests to stay relentlessly focused on sustaining quality Understanding how TDD, Mock Objects, and Object-Oriented Design come together in the context of a real software development project Using Mock Objects to guide object-oriented designs Succeeding where TDD is difficult: managing complex test data, and testing persistence and concurrency
Publisher: Pearson Education
ISBN: 0321699769
Category : Computers
Languages : en
Pages : 762
Book Description
Test-Driven Development (TDD) is now an established technique for delivering better software faster. TDD is based on a simple idea: Write tests for your code before you write the code itself. However, this "simple" idea takes skill and judgment to do well. Now there's a practical guide to TDD that takes you beyond the basic concepts. Drawing on a decade of experience building real-world systems, two TDD pioneers show how to let tests guide your development and “grow” software that is coherent, reliable, and maintainable. Steve Freeman and Nat Pryce describe the processes they use, the design principles they strive to achieve, and some of the tools that help them get the job done. Through an extended worked example, you’ll learn how TDD works at multiple levels, using tests to drive the features and the object-oriented structure of the code, and using Mock Objects to discover and then describe relationships between objects. Along the way, the book systematically addresses challenges that development teams encounter with TDD—from integrating TDD into your processes to testing your most difficult features. Coverage includes Implementing TDD effectively: getting started, and maintaining your momentum throughout the project Creating cleaner, more expressive, more sustainable code Using tests to stay relentlessly focused on sustaining quality Understanding how TDD, Mock Objects, and Object-Oriented Design come together in the context of a real software development project Using Mock Objects to guide object-oriented designs Succeeding where TDD is difficult: managing complex test data, and testing persistence and concurrency