A Practitioners Guide To Software Test Design

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.

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?

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

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

Software Engineering / Testing Test Process Improvement A practical step-by-step guide to structured testing Tim Koomen Martin Pol ¿If competitiveness is an issue in your market, IT will be vital, and this book will help you to deal with the problems it will bring along.¿ Henk W Broeders, Executive Board, CAP Gemini ¿I was introduced to TPI and suddenly the penny dropped...This was quite a revelation... I recommend that you try the ideas suggested in this book... use the TPI method to improve your test process.¿ Stephen K Allott, Senior Consultant, ImagoQA Ltd ¿The application of TPI enables us to raise our global testing organization to the next professional level. I am absolutely convinced that everybody using TPI in a similar way will experience the same added value.¿ Dr Hans Voorthuyzen, Global Manager Product Testing Group, Baan Software testing is an essential part of software development but many organizations regard it as an uncontrollable part of the process and find it difficult to take steps to improve it. In Test Process Improvement, Tim Koomen and Martin Pol give practical suggestions for improving the testing process in a gradual and controlled manner, with realistic goals in terms of quality, lead time and costs. The book describes and explains the Test Process Improvement (TPI) model, tried and tested by numerous professional testers, which provides a structured framework to be used either for improving an existing test process or for developing a new process from scratch. The authors use their in-depth knowledge and extensive experience to provide practical guidance and a framework that enables the reader to adapt the model for use in his/her organization. If you are involved in testing software systems and are aiming to implement a successful and structured process, you will find this book an invaluable resource. About the authors Tim Koomen is a professional tester for IQUIP Informatica B.V. in the Netherlands, where he is a member of the R&D team covering issues such as automated testing and testfactories. He is currently advising organizations on how to improve their testing processes using the TPI model. He regularly presents at conferences and training sessions throughout Europe. Martin Pol has over 25 years of experience in structured testing, currently working as an R&D manager with responsibility for development and innovation of testing methods for IQUIP Informatica B.V. and GiTek Software N.V. in Belgium. He was involved in the development of the structured testing approach, TMap, and the creation of TPI. He is a highly regarded speaker at conferences and training courses throughout Europe and the USA, having twice chaired EuroSTAR. He recently received the European Testing Excellence Award for his contribution to the field of testing. [barcode box] Visit us on the World Wide Web at: http: //www.awl-he.com/computing http: //www.awl.com/cseng Back of Jacket

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.

The application of accelerated testing theory is a difficult proposition, yet one that can result in considerable time and cost savings, as well as increasing a product's useful life. In Accelerated Testing: A Practitioner's Guide to Accelerated and Reliability Testing, readers are exposed to the latest, most practical knowledge available in this dynamic and important discipline. Authors Bryan Dodson and Harry Schwab draw on their considerable experience in the field to present comprehensive, insightful views in this book. Development and quality assurance tests are defined in detail and are presented from a practical viewpoint. Included are testing fundamentals, plans and models, and equipment and methods most commonly used in accelerated testing. Individuals seeking to evaluate and improve the design lives of components and systems will find this book a valuable reference, with special attention being paid to testing in the mobility industries.

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."

Software Testing Techniques, 2nd Edition is the first book-length work that explicitly addresses the idea that design for testability is as important as testing itself not just by saying that testability is a desirable goal, but by showing the reader how it to do it. Every chapter has testability guidelines that illustrate how the technique discussed in the chapter can be used to make software more easily tested and therefore more reliable and maintainable. Application of all techniques to unit, integration, maintenance, and system testing are discussed throughout this book.As a self-study text, as a classroom text, as a working reference, it is a book that no programmer, independent software tester, software engineer, testing theorist, system designer, or software project manager can be without.

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.