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

Setting priorities, time management, and scope

The risk census discussed earlier gives one defined process that allows management to change the scope. We have talked about another – the low-tech testing dashboard. In all these examples, the team breaks the software down into features (or, in some cases, user journeys). Then, they make a list of things to test and ask management to advise on how deeply to test and the priorities. From there, with historical data, the team can predict how long the test effort will take.

Consider, for example, feature testing, which we have not covered deeply enough yet in this book. Most organizations think of testing as simply an activity that happens or does not. The subset of test ideas that are institutionalized as automated checks might just be the ones created by the business analyst or, most likely, the things the tester found easy to code up in the time available. Sadly, the automated check that is the most work to code (and thus skipped...