Modern Software Testing Techniques: A Practical Guide for Developers and Testers

by Istvan Forgacs

Many books have been written about software testing, but most of them discuss the general framework of testing from a traditional perspective. Unfortunately, traditional test design techniques are often ineffective and unreliable for revealing the various kinds of faults that may occur. This book introduces three new software testing Two-Phase Model-Based Testing, the Action-State Testing, and the General Predicate Testing, all of which work best when applied with efficient fault revealing capabilities. You’ll start with a short recap of software testing, focusing on why risk analysis is obligatory, how to classify bugs practically, and how fault-based testing can be used for improving test design. You’ll then see how action-state testing merges the benefits of state transition testing and use case testing into a unified approach. Moving on you’ll look at general predicate testing and how it serves as an extension of boundary value analysis, encompassing more complex predicates. Two-phase model-based testing represents an advanced approach where the model does not necessarily need to be machine-readable; human readability suffices. The first phase involves a high-level model from which abstract tests are generated. Upon manual execution of these tests, the test code is generated. Rather than calculating output values, they are merely checked for conformity. The last part of this book contains a chapter on how developers and testers can help each other and work as a collaborative team. What You'll Learn Who This Book Is For Software developers, QA engineers, and, business analysts

284 pages, Paperback

Published December 27, 2023

Reviews

[Andrei Gavrila · Rating 4 out of 5]

I liked it. I think it raises to its promises and:
* it is a book about modern software testing techniques
* it is a book for both developers and testers

While the book is not perfect and at least partially disappoints, it goes through multiple interesting points:
* decent introduction including various definitions, principles and ideas. One point I enjoyed was reading about the coupling hypothesis.
* a very solid chapter on model-based testing with a lot of interesting information
* and more

I highly recommend it!