Book Image

Software Test Design

By : Simon Amey
Book Image

Software Test Design

By: Simon Amey

Overview of this book

Software Test Design details best practices for testing software applications and writing comprehensive test plans. Written by an expert with over twenty years of experience in the high-tech industry, this guide will provide you with training and practical examples to improve your testing skills. Thorough testing requires a thorough understanding of the functionality under test, informed by exploratory testing and described by a detailed functional specification. This book is divided into three sections, the first of which will describe how best to complete those tasks to start testing from a solid foundation. Armed with the feature specification, functional testing verifies the visible behavior of features by identifying equivalence partitions, boundary values, and other key test conditions. This section explores techniques such as black- and white-box testing, trying error cases, finding security weaknesses, improving the user experience, and how to maintain your product in the long term. The final section describes how best to test the limits of your application. How does it behave under failure conditions and can it recover? What is the maximum load it can sustain? And how does it respond when overloaded? By the end of this book, you will know how to write detailed test plans to improve the quality of your software applications.
Table of Contents (21 chapters)
1
Part 1 – Preparing to Test
6
Part 2 – Functional Testing
13
Part 3 – Non-Functional Testing
17
Conclusion
Appendix – Example Feature Specification

Understanding defect cascading

A single error can leave your system in an unknown state. Unless you have identified and replicated that problem as part of your testing, it also leaves your system in an untested state. Your application may work well, but there’s a higher risk of issues than during regular operation. Triggering one error state is a great way to look for other problems.

Example problems that arise during error handling include the following:

  • Excessive logging – It’s vital to record information about errors, but if a failure is recurring many times a second, that adds load to the system, either in terms of disc usage or network bandwidth to report it. Using those resources can trigger further issues.
  • Lack of detail in logging – A regular finding in post-mortem meetings after failures was that the logs were hard to use and didn’t have helpful information. Use the logs while you’re testing to discover weaknesses before...