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

The seven wastes

Before we dive in too far, there are a couple of arguments we need to cover. First, in software testing, there is the argument that a test that finds no problems is a waste. We’re not so sure about that; before we ran the test, there was a risk, and after the test ran, that risk was mitigated. However, we will say that if a test never seems to fail, it might not be worth running. That is especially true if the test doesn’t need to run because it would be covered by other tests. For example, you might not need a test to demonstrate the simple “positive” login case if login is a blocking condition for every other end-to-end check. If the login is broken, those other checks will all fail. Likewise, if an automated check doesn’t provide much information yet causes a great deal of maintenance effort that could be spent on other things – it “breaks” a lot or is “flaky” due to a changing user interface...