This book teaches test managers advanced skills in test estimation, test planning, test monitoring, and test control. Readers will learn how to define the overall testing goals and strategies for the systems being tested. This hands-on, exercise-rich book provides experience with planning, scheduling, and tracking these tasks. You´ll learn to describe and organize necessary activities, as well as to select, acquire, and assign adequate resources for testing tasks, and how to form, organize, and lead testing teams. You´ll master the organization of communication among team members and between the testing teams, and other stakeholders. Additionally, you´ll learn how to justify decisions and provide adequate reporting information where applicable. With over 30 years of software and systems engineering experience, author Rex Black is President of RBCS, a leader in software, hardware, and systems testing. Rex is the most prolific author practicing in the field of software testing today. He has published a dozen books on testing that have sold tens of thousands of copies worldwide. He is past president of the International Software Testing Qualifications Board (ISTQB) and a director of the American Software Testing Qualifications Board (ASTQB). This second edition has been thoroughly updated to reflect the new ISTQB Advanced Test Manager 2012 Syllabus, and the latest ISTQB Glossary. Rex Black is one of the main participants in the ISTQB Advanced Level Working Group, and his edition reflects his unique insights into these changes. This book will help you prepare for the ISTQB Advanced Test Manager exam. Included are sample exam questions, at the appropriate level of difficulty, for most of the learning objectives covered by the ISTQB Advanced Level Syllabus. The ISTQB certification program is the leading software tester certification program in the world. With about 350,000 certificate holders and a global presence in over 50 countries, you can be confident in the value and international stature that the Advanced Test Manager certificate can offer you.
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 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 Schr
- This much-anticipated revision, written by the ultimate group of top security experts in the world, features 40 percent new content on how to find security holes in any operating system or application - New material addresses the many new exploitation techniques that have been discovered since the first edition, including attacking ´´unbreakable´´ software packages such as McAfee´s Entercept, Mac OS X, XP, Office 2003, and Vista - Also features the first-ever published information on exploiting Cisco´s IOS, with content that has never before been explored - The companion Web site features downloadable code files The black hats have kept up with security enhancements. Have you? In the technological arena, three years is a lifetime. Since the first edition of this book was published in 2004, built-in security measures on compilers and operating systems have become commonplace, but are still far from perfect. Arbitrary-code execution vulnerabilities still allow attackers to run code of their choice on your system--with disastrous results. In a nutshell, this book is about code and data and what happens when the two become confused. You´ll work with the basic building blocks of security bugs--assembler, source code, the stack, the heap, and so on. You´ll experiment, explore, and understand the systems you´re running--and how to better protect them. * Become familiar with security holes in Windows, Linux, Solaris, Mac OS X, and Cisco´s IOS * Learn how to write customized tools to protect your systems, not just how to use ready-made ones * Use a working exploit to verify your assessment when auditing a network * Use proof-of-concept exploits to rate the significance of bugs in software you´re developing * Assess the quality of purchased security products by performing penetration tests based on the information in this book * Understand how bugs are found and how exploits work at the lowest level
We depend on¿we believe in¿algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It´s as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations¿the marriage vow, the shaman´s curse¿do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm¿in practical terms, ´´a method for solving a problem¿¿has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson´s Snow Crash to Diderot´s Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost´s satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google´s goal of anticipating our questions, Uber´s cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things.
This book is an excellent, helpful and up-to-date resource for all candidates preparing for the ISTQB Foundation Level certification exam based on the new Foundation Level 2018 Syllabus. Although there are plenty of sample questions and information related to the Foundation Level exam on the web, there are two problems with these: Firstly, most of them will soon be outdated, as the old syllabus and exams are going to be retracted in June 2019. Secondly, much of what is available is of poor quality, since many of the sample questions do not follow the strict ISTQB examination rules. This book stands out from other ISTQB-related works through a number of special features: Topicality: The material complies with the latest version of the Foundation Level syllabus published in 2018. Quality and originality: The exam questions are original, not redundant, of high quality, fully aligned with the ISTQB exam requirements and have not been published before. Huge amount of material: It includes 5 full sample exams (200 questions in total) designed in accordance with the ISTQB exam rules, and with the appropriate distribution of questions regarding the learning objectives and K-levels. Well-thought-out sample questions: The questions not only appropriately cover the corresponding learning objectives (LOs), but also to show the typical pitfalls. Diversity: The questions from various sample exams related to the same LO are diversified, that is, each of them points out different aspects of a given LO. This is an excellent method for better and more effective learning and preparing for the exam. Comprehensive, intelligible explanations: All answers are justified and there are detailed and easy-to-understand explanations not only of why a given answer is correct, but also why all the others are wrong. A lot of bonus material: The book includes a great bonus pack: chapters that explain the white-box and black-box test techniques in a detailed way, a set of exercises on test techniques and the detailed solutions to them, and much more.
Essential Information that Every Serious Programming Student Needs to Know about Algorithms and Data Structures A Classic Reference The latest version of Sedgewick´s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades. Broad Coverage Full treatment of data structures and algorithms for sorting, searching, graph processing, string processing, and geometric applications, including fifty algorithms every programmer should know. See www.cs.princeton.edu/algs4/top50 . Completely Revised Code New Java implementations written in an accessible, modular programming style, where all of the code is exposed to the reader and ready to use. New versions of quicksort, LZW compression, red-black tree search, RE pattern matching, and many other algorithms. Engages with Applications Algorithms are studied in the context of important scientific, engineering, and commercial applications. Clients and algorithms are expressed in real code, not the pseudo-code found in many other books. Intellectually Stimulating Engages reader interest with clear, concise text, detailed examples with visuals, carefully crafted code, historical and scientific context, and exercises at all levels. A Scientific Approach Develops precise statements about performance, supported by appropriate mathematical models and empirical studies validating those models. Integrated with the Web Visit www.cs.princeton.edu/algs4 for a freely accessible, comprehensive Web site, including text digests, program code, test data, programming projects, exercises, lecture slides, and other resources. Product Description This fourth edition of Robert Sedgewick and Kevin Wayne?s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the ´´Online Course´´ link at algs4.cs.princeton.edu . The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. Features + Benefits The #1 practical resource for everyone seeking to run programs faster or solve larger problems Surveys today´s most useful algorithms, with copious illustrations and examples Contains many new examples, ranging from physics, biology, and engineering to data compression and web search Contains real (not pseudocode) implementations, with detailed performance insights A companion web site, algs4.cs.princeton.edu , with many more resources for instructors, including text digests, program code, test data, programming projects, exercises, lecture slides, and other resources Preface viii Chapter 1: Fundamentals 3 1.1 Basic Programming Model 8 1.2 Data Abstraction 64 1.3 Bags, Queues, and Stacks 120 1.4 Analysis of Algorithms 172 1.5 Case Study: Union-Find 216 Chapter 2: Sorting 243 2.1 Elementary Sorts 244 2.2 Mergesort 270 2.3 Quicksort 288 2.4 Priority Queues 308 2.5 Applications
Testing at Google Scale Product Description 2012 Jolt Award finalist! Pioneering the Future of Software Test Do you need to get it right, too? Then, learn from Google . Legendary testing expert James Whittaker, until recently a Google testing leader, and two top Google experts reveal exactly how Google tests software, offering brand-new best practices you can use even if you?re not quite Google?s size? yet! Breakthrough Techniques You Can Actually Use Discover 100% practical, amazingly scalable techniques for analyzing risk and planning tests?thinking like real users?implementing exploratory, black box, white box, and acceptance testing?getting usable feedback?tracking issues?choosing and creating tools?testing ?Docs & Mocks,? interfaces, classes, modules, libraries, binaries, services, and infrastructure?reviewing code and refactoring?using test hooks, presubmit scripts, queues, continuous builds, and more. With these techniques, you can transform testing from a bottleneck into an accelerator ?and make your whole organization more productive! Features + Benefits Presents pioneering testing techniques that can help any company moving to the cloud Shows how to achieve web-level scale for integration and system testing Offers expert guidance on managing end-to-end testing, including superior automation strategies Foreword by Alberto Savoia xiii Foreword by Patrick Copeland xvii Preface xxiii Chapter 1: Introduction to Google Software Testing 1 Quality?Test 5 Roles 6 Organizational Structure 8 Crawl, Walk, Run 10 Types of Tests 12 Chapter 2: The Software Engineer in Test 15 The Life of an SET 17 Development and Test Workflow 17 Who Are These SETs Anyway? 22 The Early Phase of a Project 22 Team Structure 24 Design Docs 25 Interfaces and Protocols 27 Automation Planning 28 Testability 29 SET Workflow: An Example 32 Test Execution 40 Test Size Definitions 41 Use of Test Sizes in Shared Infrastructure 44 Benefits of Test Sizes 46 Test Runtime Requirements 48 Case 1: Change in Common Library 52 Test Certified 54 An Interview with the Founders of the Test Certified Program 57 Interviewing SETs 62 An Interview with Tool Developer Ted Mao 68 An Interview with Web Driver Creator Simon Stewart 70 Chapter 3: The Test Engineer 75 A User-Facing Test Role 75 The Life of a TE 76 Test Planning 79 Risk 97 Life of a Test Case 108 Life of a Bug 113 Recruiting TEs 127 Test Leadership at Google 134 Maintenance Mode Testing 137 Quality Bots Experiment 141 BITE Experiment 153 Google Test Analytics 163 Free Testing Workflow 169 External Vendors 173 An Interview with Google Docs TE Lindsay Webster 175 An Interview with YouTube TE Apple Chow 181 Chapter 4: The Test Engineering Manager 187 The Life of a TEM 187 Getting Projects and People 189 Impact 191 An Interview with Gmail TEM Ankit Mehta 193 An Interview with Android TEM Hung Dang 198 An Interview with Chrome TEM Joel Hynoski 202 The Test Engineering Director 206 An Interview with Search and Geo Test Director Shelton Mar 207 An Interview with Engineering Tools Director Ashish Kumar 211 An Interview with Google India Test Director Sujay Sahni 214 An Interview with Engineering Manager Brad Green 219 An Interview with James Whittaker 222 Chapter 5: Improving How Google Tests Software 229 Fatal Flaws in Google´s Process 229 The Future of the SET 231 The Future of the TE 233 The Future of the Test Director and Manager 234 The Future of Test Infrastructure 234 In Conclusion 235 Appendix A: Chrome OS Test Plan 237 Overview of Themes 237 Risk Analysis 238 Per-Build Baseline Testing 239 Per-LKG Day Testing 239 Per-Release Testing 239 Manual Versus Automation 240 Dev Versus Test Quality Focus 240 Release Channels 240 User Input 241 Test Case Repositories 241 Test Dashboarding 241 Virtualization 241 Performance 242 Stress, Long-Running, and Stability 242 Test Execution Framework (Autotest) 242 OEMs 242 Hardware Lab 242 E2E Farm Automation 243 Testing the Browser AppManager 243 Browser Testability 243 Hardware 244 Timeline 244 Primary Test Drivers 246 Relevant Documents 246 Appendix B: Test Tours for Chrome 247 The Shopping Tour 247 The Student Tour 248 Suggested Areas to Test 248 The International Calling Tour 249 Suggested Areas to Test 249 The Landmark Tour 249 Suggested Landmarks in Chrome 249 The All Nighter Tour 250 Suggested Areas to Test 250 The Artisan´s Tour 251 Tools in Chrome 251 The Bad Neighborhood Tour 251 Bad Neighborhoods in Chrome OS 251 The Personalization Tour 252 Ways to Customize
This book lights on data attack strategy which is called Black Hole Attack in MANET under Ad-hoc on Demand Distance vector (AODV).In this book, we discuss the working of AODV protocol, MANET, a data packet, nature of Black Hole Attack. This proposed solution first detects and then prevent this attack by using intelligently transform source node which I named Fox node. I proposed a ´´Honey-Pot Technique´´ to make AODV networking more secure. In this modern era, there is a need to create a more secure networking environment to remove hacking and make eve dropper´s attempt unsuccessful. ´´In every morning every person wakes with a loop in their mind and constantly thinks about the loop statement, that loop contains a statement and iterates whole day in mind. Write your life goal in your mind´s loop then you will become successful to achieve your goal.´´ ´´In some situations, you need to use a Honey-pot to defeat evil.´´