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.
Successful software depends as much on scrupulous testing as it does on solid architecture or elegant code. But testing is not a routine process, it's a constant exploration of methods and an evolution of good ideas. Beautiful Testing offers 23 essays from 27 leading testers and developers that illustrate the qualities and techniques that make testing an art. Through personal anecdotes, you'll learn how each of these professionals developed beautiful ways of testing a wide range of products -- valuable knowledge that you can apply to your own projects. Here's a sample of what you'll find inside: Microsoft's Alan Page knows a lot about large-scale test automation, and shares some of his secrets on how to make it beautiful Scott Barber explains why performance testing needs to be a collaborative process, rather than simply an exercise in measuring speed Karen Johnson describes how her professional experience intersected her personal life while testing medical software Rex Black reveals how satisfying stakeholders for 25 years is a beautiful thing Mathematician John D. Cook applies a classic definition of beauty, based on complexity and unity, to testing random number generators All author royalties will be donated to the Nothing But Nets campaign to save lives by preventing malaria, a disease that kills millions of children in Africa each year. This book includes contributions from: Adam Goucher Linda Wilkinson Rex Black Martin Schröder Clint Talbert Scott Barber Kamran Khan Emily Chen Brian Nitz Remko Tronçon Alan Page Neal Norwitz Michelle Levesque Jeffrey Yasskin John D. Cook Murali Nandigama Karen N. Johnson Chris McMahon Jennitta Andrea Lisa Crispin Matt Heusser Andreas Zeller David Schuler Tomasz Kojm Adam Christian Tim Riley Isaac Clerencia
It is often assumed that software testing is based on clearly defined requirements and software development standards. However, testing is typically performed against changing, and sometimes inaccurate, requirements. The third edition of a bestseller, Software Testing and Continuous Quality Improvement, Third Edition provides a continuous quality framework for the software testing process within traditionally structured and unstructured environments. This framework aids in creating meaningful test cases for systems with evolving requirements. This completely revised reference provides a comprehensive look at software testing as part of the project management process, emphasizing testing and quality goals early on in development. Building on the success of previous editions, the text explains testing in a Service Orientated Architecture (SOA) environment, the building blocks of a Testing Center of Excellence (COE), and how to test in an agile development. Fully updated, the sections on test effort estimation provide greater emphasis on testing metrics. The book also examines all aspects of functional testing and looks at the relation between changing business strategies and changes to applications in development. Includes New Chapters on Process, Application, and Organizational Metrics All IT organizations face software testing issues, but most are unprepared to manage them. Software Testing and Continuous Quality Improvement, Third Edition is enhanced with an up-to-date listing of free software tools and a question-and-answer checklist for choosing the best tools for your organization. It equips you with everything you need to effectively address testing issues in the most beneficial way for your business.
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
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."
The one resource needed to create reliable software This text offers a comprehensive and integrated approach to software quality engineering. By following the author's clear guidance, readers learn how to master the techniques to produce high-quality, reliable software, regardless of the software system's level of complexity. The first part of the publication introduces major topics in software quality engineering and presents quality planning as an integral part of the process. Providing readers with a solid foundation in key concepts and practices, the book moves on to offer in-depth coverage of software testing as a primary means to ensure software quality; alternatives for quality assurance, including defect prevention, process improvement, inspection, formal verification, fault tolerance, safety assurance, and damage control; and measurement and analysis to close the feedback loop for quality assessment and quantifiable improvement. The text's approach and style evolved from the author's hands-on experience in the classroom. All the pedagogical tools needed to facilitate quick learning are provided: * Figures and tables that clarify concepts and provide quick topic summaries * Examples that illustrate how theory is applied in real-world situations * Comprehensive bibliography that leads to in-depth discussion of specialized topics * Problem sets at the end of each chapter that test readers' knowledge This is a superior textbook for software engineering, computer science, information systems, and electrical engineering students, and a dependable reference for software and computer professionals and engineers.
Software is continuously increasing in complexity. Paradigmatic shifts and new development frameworks make it easier to implement software – but not to test it. Software testing remains to be a topic with many open questions with regard to both technical low-level aspects and to the organizational embedding of testing. However, a desired level of software quality cannot be achieved by either choosing a technical procedure or by optimizing testing processes. In fact, it requires a holistic approach.This Brief summarizes the current knowledge of software testing and introduces three current research approaches. The base of knowledge is presented comprehensively in scope but concise in length; thereby the volume can be used as a reference. Research is highlighted from different points of view. Firstly, progress on developing a tool for automated test case generation (TCG) based on a program’s structure is introduced. Secondly, results from a project with industry partners on testing best practices are highlighted. Thirdly, embedding testing into e-assessment of programming exercises is described.
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.
For any software developer who has spent days in “integration hell,” cobbling together myriad software components, Continuous Integration: Improving Software Quality and Reducing Risk illustrates how to transform integration from a necessary evil into an everyday part of the development process. The key, as the authors show, is to integrate regularly and often using continuous integration (CI) practices and techniques. The authors first examine the concept of CI and its practices from the ground up and then move on to explore other effective processes performed by CI systems, such as database integration, testing, inspection, deployment, and feedback. Through more than forty CI-related practices using application examples in different languages, readers learn that CI leads to more rapid software development, produces deployable software at every step in the development lifecycle, and reduces the time between defect introduction and detection, saving time and lowering costs. With successful implementation of CI, developers reduce risks and repetitive manual processes, and teams receive better project visibility. The book covers How to make integration a “non-event” on your software development projects How to reduce the amount of repetitive processes you perform when building your software Practices and techniques for using CI effectively with your teams Reducing the risks of late defect discovery, low-quality software, lack of visibility, and lack of deployable software Assessments of different CI servers and related tools on the market The book’s companion Web site, www.integratebutton.com, provides updates and code examples.
