Book Image

Software Testing Strategies

By : Matthew Heusser, Michael Larsen
Book Image

Software Testing Strategies

By: Matthew Heusser, Michael Larsen

Overview of this book

Software Testing Strategies covers a wide range of topics in the field of software testing, providing practical insights and strategies for professionals at every level. With equal emphasis on theoretical knowledge and practical application, this book is a valuable resource for programmers, testers, and anyone involved in software development. The first part delves into the fundamentals of software testing, teaching you about test design, tooling, and automation. The chapters help you get to grips with specialized testing areas, including security, internationalization, accessibility, and performance. The second part focuses on the integration of testing into the broader software delivery process, exploring different delivery models and puzzle pieces contributing to effective testing. You’ll discover how to craft your own test strategies and learn about lean approaches to software testing for optimizing processes. The final part goes beyond technicalities, addressing the broader context of testing. The chapters cover case studies, experience reports, and testing responsibilities, and discuss the philosophy and ethics of software testing. By the end of this book, you’ll be equipped to elevate your testing game and ensure software quality, and have an indispensable guide to the ever-evolving landscape of software quality assurance.
Table of Contents (22 chapters)
1
Part 1:The Practice of Software Testing
9
Part 2:Testing and Software Delivery
14
Part 3:Practicing Politics

Coverage – did we test the right things well enough?

Management asks if you’ve done testing. You say no, you need more time. How much more time? Why? Can you answer?

To develop an answer that stands up to scrutiny, we would need some measure of how wide, how tall, and how deep the space of the software was. However, from Chapter 1, we know that space is infinite.

Welcome to testing. As the saying goes, “Doing the impossible for the ungrateful.” To some extent, we can do the impossible – at least, it can be helpful to think that might be possible.

All test coverage is based on some model. All models are imperfect approximations of the actual work. As such, they have limits. In Chapter 2, we looked at one imprecise, metaphorical model – that of the software of a dog park. We used the test as a walk through that dog park. It is possible to think of various parts of the park as features and produce some measure of how well each feature...