Business Automation Testing Books Pdf


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Effective GUI Test Automation: Developing an Automated GUI Testing Tool Software test engineers: here is the first book to teach you how to build and use a . way I have learned a great deal about software testing and automation. I enjoy For more on frameworks, see Linda Hayes' book on automated testing, Tom. ACM PRESS BOOKS This book is published as part of ACM Press Books - a Software Test Automation Effective use of test execution tools MARK FEWSTER.

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full version of the book and there are no limits on your use of the PDF, but it may not be makes a lot of sense to automate preparation of the required testing. Practical Web Test Automation. Test web applications wisely with Selenium WebDriver. Zhimin Zhan. This book is for sale at. mated testing tools suite. There are a number of articles and books available tory book on software testing automation. If you are reading this.

Mosley and Bruce A.

Best 3 Software Testing Books for Tester in 2019

Posey This book is just enough for every test automation engineer. One of the best books that are loved by beginners to advanced level automation test engineers. This book is a pure gold for all the test automation engineers out there! This book will help you to understand agile in detail. It will make you familiar with continuous integration, test-driven development, unit testing, agile manifesto, agile planning and a lot more.

It is a collection of various automation implementation stories. Different people have solved different automation problems in different manners- learn from this book how they implemented it, challenges faced, solutions and much more. Refactoring: Improving the Design of Existing Code by Martin Fowler and Kent Beck Get to learn about refactoring, figure out bad smells in code, build tests, learn about JUnit framework, making methods call simpler, simplifying conditional expressions,etc.

The Selenium Guidebook by Dave Haeffner No one can deny the fact that selenium is the true love for automation testers. But nothing comes without a cost, selenium also poses a lot of challenges for automation testers.

Beautiful Testing: Leading Professionals Reveal How They Improve Software The three parts of the book beautiful testers, beautiful process, and beautiful tools sum up what this book is all about. Learn all about testing and quality assurance in a beautiful yet detailed manner with this amazing book. This book therefore contains generic principles that are not restricted to any existing specific tools. Second, the test execution tool market is very volatile, so any specific information would soon become out of date.

This book does not include techniques for testing, i. Although an important topic, it is outside the scope of this book that's our next project. This book covers the automation of test execution, not the automatic generation of test inputs, for reasons explained in Chapter 1. How to read this book This book is designed so that you can dip into it without having to read all of the preceding chapters.

There arc two parts to the book. Part 1 is technical and will give you the techniques you need to construct an efficient test automation regime. Part 2 contains case studies of test automation in a variety of organizations and with varying degrees of success, plus some guest chapters giving useful advice.

Any chapter in Part 2 can be read on its own, although there are two sets of paired chapters. A guided tour of the content of the case studies is given in the introduction to Part 2. We have used some terms in this book that are often understood differently in different organizations. We have defined our meaning of these terms in the Glossary at the end of the book. Glossary terms appear in bold type the first time they are used in the book.

The table on the next page shows our recommendations for the chapters that you may like to read first, depending on your objectives. Guided tour to Part 1: techniques for automating test execution Each chapter in Part 1 concludes with a summary, which contains an overview of what is covered in that chapter. Here we outline the main points of each chapter. Chapter 1 is a general introduction to the content of the book. We discuss testing and the difference between the testing discipline and the subject of this book, and we explain why we have concentrated on test execution automation.

If you have not yet experienced the difference between post-purchase euphoria and the grim reality of what a tool will and will not do for you, If you are: Shopping for a test execution tool 1, 2, and 10 A manager wondering why test automation has failed 1, 2, 7, and 8 Using a test execution tool to automate tests, i.

A simple application 'Scribble' is tested manually and then taken through typical initial stages of the use of a capture replay tool. Chapters contain the technical content of the book. Chapter 3 describes five different scripting techniques. Chapter 4 discusses automated comparison techniques. Chapter 5 describes a practical testware architecture. Chapter 6 covers automation of set-up and clear-up activities. Chapter 7 concentrates on testware maintenance.

Chapter 8 discusses metrics for measuring the quality of both testing and of an automation regime. Chapter 9 brings together a number of other important topics. The next two chapters deal with tool evaluation and selection Chapter 10 and tool implementation within the organization Chapter We are particularly grateful to the authors of the case studies, for taking the time out of their busy schedules to prepare their material.

Special thanks to Marnie Hutcheson and Stale Amland for sharing experiences that were not as successful as they might have been, and to all the authors for their honesty about problems encountered. Thanks to two sets of authors who have given us a description and experience story of using what we consider to be good ways of achieving efficient and maintainable automation: Hans Buwalda and Iris Pinkster for the 'Action Words' approach, and Graham Freeburn, Graham Dwyer, and Jim Thomson for the 'RadSTAR' approach.

We are particularly grateful to the US authors of the final three chapters: Linda Hayes has kindly given permission to reproduce a number of sections from her Test Automation Handbook, Chip Groder has shared his insights in building effective test automation for GUI systems over many years, and Angela Smale gives useful advice based on her experiences of automating the testing for different applications at Microsoft.

Thanks to Roger Graham for his support and for writing our example application 'Scribble'. Thanks to Sally Mortimore, our editor, for her support, enthusiasm, and patience over the past three years.

We would also like to thank those who have attended our tutorials and courses on test automation and have helped us to clarify our ideas and the way in which we communicate them. Please accept our apologies if we have not included anyone in this acknowledgment that we should have. He has been a software developer and manager for a multi-platform graphical application vendor, where he was responsible for the implementation of a testing improvement programme and the successful development and implementation of a testing tool which led to dramatic and lasting savings for the company.

Mark spent two years as a consultant for a commercial software testing tool vendor, providing training and consultancy in both test automation and testing techniques. Since joining Grove Consultants in , Mark has provided consultancy and training in software testing to a wide range of companies.

As a consultant, Mark has helped many organizations to improve their testing practices through improved process and better use of testing tools. He has published papers in respected journals and is a popular speaker at national and international conferences and seminars.

Before founding Grove Consultants she worked for the National Computing Centre developing and presenting software engineering training courses.

She has written articles for a number of technical journals, and is a frequent and popular keynote and tutorial speaker at national and international conferences and seminars. Grave Consultants' Web site: www. Permissions acknowledgment The publisher and the authors would like to thank the following for permission to reproduce material in this book. Paul Godsafe for the Experience Report p.

Dr Dobb's Journal, P. The fact that SIM Group have consistently made significant differences to projects through the use of automated testing is reason enough for this book to exist. At first glance, it seems easy to automate testing: just buy one of the popular test execution tools, record the manual tests, and play them back whenever you want to. Unfortunately, as those who tried it have discovered, it doesn't work like that in practice. Just as there is more to software design than knowing a programming language, there is more to automating testing than knowing a testing tool.

Software testing needs to be effective at finding any defects which are there, but it should also be efficient, performing the tests as quickly and cheaply as possible. Automating software testing can significantly reduce the effort required for adequate testing, or significantly increase the testing which can be done in limited time. Tests can be run in minutes that would take hours to run manually.

The case studies included in this book show how different organizations have been able to automate testing, some saving significant amounts of money. Some organizations have not saved money or effort directly but their test automation has enabled them to produce better quality software more quickly than would have been possible by manual testing alone.

A mature test automation regime will allow testing at the 'touch of a button' with tests run overnight when machines would otherwise be idle. Automated tests are repeatable, using exactly the same inputs in the same sequence time and again, something that cannot be guaranteed with manual testing.

Automated testing enables even the smallest of maintenance changes to be fully tested with minimal effort.

Test automation also eliminates many menial chores. The more boring testing seems, the greater the need for tool support. This book will explain the issues involved in successfully automating software testing. The emphasis is on technical design issues for automated testware.

Testware is the set of files needed for 'automated' testing, including scripts, inputs, expected outcomes, set-up and clear-up procedures, files, databases, environments, and any additional software or utilities used in automated testing.

See the Glossary for definitions of terms used in this book, which appear in bold the first time they are used. In this introductory chapter we look at testing in general and the automation of parts of testing. We explain why we think test execution and result comparison is more appropriate to automate than test design, and describe the benefits, problems, and limitations of test automation. A regime is a system of government. This book is about how to set up a regime for test automation.

A test automation regime determines, among other things, how test automation is managed, the approaches used in implementing automated tests, and how testware is organized. While this may come as a surprise to some people it is a simple fact.

For any system there is an astronomical number of possible test cases and yet practically we have time to run only a very small number of them. Yet this small number of test cases is expected to find most of the defects in the software, so the job of selecting which test cases to build and run is an important one.

Both experiment and experience have told us that selecting test cases at random is not an effective approach to testing.

A more thoughtful approach is required if good test cases are to be developed. What exactly is a good test case? There are four attributes that describe the quality of a test case; that is, how good it is. Perhaps the most important of these is its defect detection effectiveness, whether or not it finds defects, or at least whether or not it is likely to find defects.

A good test case should also be exemplary. An exemplary test case should test more than one thing, thereby reducing the total number of test cases required. The other two attributes are both cost considerations: how economical a test case is to perform, analyze, and debug; and how evolvable it is, i.

These four attributes must often be balanced one against another. For example, a single test case that tests a lot of things is likely to cost a lot to perform, analyze, and debug. It may also require a lot of maintenance each time the software changes. Thus a high measure on the exemplary scale is likely to result in low measures on the economic and evolvable scales. So the skill of testing is not only in ensuring that test cases will find a high proportion of defects, but also ensuring that the test cases are well designed to avoid excessive costs.

Many organizations are surprised to find that it is more expensive to automate a test than to perform it once manually. In order to gain benefits from test automation, the tests to be automated need to be carefully selected and implemented. Automated quality is independent of test quality. Whether a test is automated or performed manually affects neither its effectiveness nor how exemplary it is.

It doesn't matter how clever you are at automating a test or how well you do it, if the test itself achieves nothing then the end result is a test that achieves nothing faster. Automating a test affects only how economic and evolvable it is. Once implemented, an automated test is generally much more economic, the cost of running it being a mere fraction of the effort to perform it manually. However, automated tests generally cost more to create and maintain.

The better the approach to automating tests the cheaper it will be to implement them in the long term. If no thought is given to maintenance when tests are automated, updating an entire automated test suite can cost as much, if not more, than the cost of performing all of the tests manually.

Figure 1. A test case performed manually is shown by the solid lines. When that same test is automated for the first time, it will have become less evolvable and less economic since it has taken more effort to automate it. After the automated test has been run a number of times it will become much more economic than the same test performed manually. For an effective and efficient suite of automated tests you have to start with the raw ingredient of a good test suite, a set of tests skillfully designed by a tester to exercise the most important things.

You then have to apply automation skills to automate the tests in such a way that they can be created and maintained at a reasonable cost. The person who builds and maintains the artifacts associated with the use of a test execution tool is the test automator.

A test automator may or may not also be a tester; he or she may or may not be a member of a test team.

For example, there may be a test team consisting of user testers with business knowledge and no technical software development skills.

A developer may have the responsibility of supporting the test team in the construction and maintenance of the automated implementation of the tests designed by the test team. This developer is the test automator. It is possible to have either good or poor quality testing. It is the skill of the tester which determines the quality of the testing. It is also possible to have either good or poor quality automation. It is the skill of the test automator which determines how easy it will be to add new automated tests, how maintainable the automated tests will be, and ultimately what benefits test automation will provide.

Testing is often considered something which is done after software has been written; after all, the argument runs, you can't test something that doesn't exist, can you?

This idea makes the assumption that testing is merely test execution, the running of tests. Of course, tests cannot be executed without having software that actually works. But testing activities include more than just running tests. The V-model of software development illustrates when testing activities should take place. The V-modcl shows that each development activity has a corresponding test activity. The tests at each level exercise the corresponding development activity.

The same principles apply no matter what software life cycle model is used. The simplified V-model in Figure 1. Different organizations may have different names for each stage; it is important that each stage on the left has a partner on the right, whatever each is called.

The most important factor for successful application of the V-model is the issue of when the test cases are designed. The test design activity always finds defects in whatever the tests are designed against.

For example, designing acceptance test cases will find defects in the requirements, designing system test cases will find defects in the functional specification, designing integration test cases will find defects in the design, and designing unit test cases will find defects in the code.

If test design is left until the last possible moment, these defects will only be found immediately before those tests would be run, when it is more expensive to fix them. Test design does not have to wait until just before tests are run; it can be done at any time after the information which those tests are based on becomes available.

Then the effect of finding defects is actually beneficial rather than destructive, because the defects can be corrected before they are propagated. Of course, the tests cannot be run until the software has been written, but they can be written early.

The tests are actually run in the reverse order to their writing, e. Test design tools help to derive test inputs or test data. Logical design tools work from the logic of a specification, an interface or from code, and are sometimes referred to as test case generators. Physical design tools manipulate existing data or generate test data.

For example, a tool that can extract random records from a database would be a physical design tool. A tool that can derive test inputs from a specification would be a logical design tool.

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We discuss logical design tools more fully in Section 1. Test management tools include tools to assist in test planning, keeping track of what tests have been run, and so on.

This category also includes tools to aid traceability of tests to requirements, designs, and code, as well as defect tracking tools. Static analysis tools analyze code without executing it. This type of tool detects certain types of defect much more effectively and cheaply than can be achieved by any other means. Such tools also calculate various metrics for the code such as McCabe's cyclomatic complexity, Halstead metrics, and many more.

Coverage tools assess how much of the software under test has been exercised by a set of tests. Coverage tools are most commonly used at unit test level. For example, branch coverage is often a requirement lor testing safety-critical or safety-related systems. Coverage tools can also measure the coverage of design level constructs such as call trees. Debugging tools are not really testing tools, since debugging is not part of testing.

Testing identifies defects, debugging removes them and is therefore a development activity, not a testing activity. However, debugging tools are often used in testing, especially when trying to isolate a low-level defect. Debugging tools enable the developer to step through the code by executing one instruction at a time and looking at the contents of data locations.

Dynamic analysis tools assess the system while the software is running. For example, tools that can detect memory leaks are dynamic analysis tools. A memory leak occurs if a program does not release blocks of memory when it should, so the block has 'leaked' out of the pool of memory blocks available to all programs.

Eventually the faulty program will end up 'owning' all of the memory; nothing can run, the system 'hangs up' and must be rebooted in a non-protected mode operating system. Simulators are tools that enable parts of a system to be tested in ways which would not be possible in the real world. For example, the meltdown procedures for a nuclear power plant can be tested in a simulator. Another class of tools have to do with what we could call capacity testing.

Performance testing tools measure the time taken for various events. For example, they can measure response times under typical or load conditions. Load testing tools generate system traffic. For example, they may generate a number of transactions which represent typical or maximum levels.

This type of tool may be used for volume and stress testing. Test execution and comparison tools enable tests to be executed automatically and the test outcomes to be compared to expected outcomes. These tools are applicable to test execution at any level: unit, integration, system, or acceptance testing.

Top 10 Books for Getting Started with Automation Testing

Capture replay tools are test execution and comparison tools. This is the most popular type of testing tool in use, and is the focus of this book. There are also other benefits, including those listed below. Run existing regression tests on a new version of a program. This is perhaps the most obvious task, particularly in an environment where many programs are frequently modified.

The effort involved in perform ing a set of regression tests should be minimal. Given that the tests already exist and have been automated to run on an earlier version of the program, it should be possible to select the tests and initiate their execution with just a few minutes of manual effort.

Run more tests more often.

A clear benefit of automation is the ability to run more tests in less time and therefore to make it possible to run them more often.This is a very useful thing to do, but it is not likely to find a large number of new defects, particularly when run in the same hardware and software environment as before. Guided tour to Part 1: techniques for automating test execution Each chapter in Part 1 concludes with a summary, which contains an overview of what is covered in that chapter.

It is perhaps a double disappointment to find that a testing tool has not been well tested, but unfortunately, it does happen. The tests at each level exercise the corresponding development activity.

These include Kit , Marick , Beizer , , Kaner et al. They introduce new bugs in what used to work. Happy Testing! It will make you familiar with continuous integration, test-driven development, unit testing, agile manifesto, agile planning and a lot more. Both experiment and experience have told us that selecting test cases at random is not an effective approach to testing.

This book therefore contains generic principles that are not restricted to any existing specific tools.

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