Galin explains why software is usually far harder to test than hardware. The latter usually only has a few modes of operation, thousands at most. While the combinatorics of any nontrivial software package can easily produce millions of modes. Also, hardware defects (like parts missing) are often easy to detect by visual inspection. While software is often inherently opaque. It might have a corrupted or missing module that might not be found until the customer tries to use it. This is exacerbated by bugs being found essentially mostly in development and testing. And not in manufacturing. This latter step is trivial is software, but is the key step in hardware.
His book then goes over the main types of Software Quality Assurance models. These might already be familiar to you. The Waterfall model, which forms the basis of most SQA standards. But for small software projects, you might be able to use the Prototyping model, which can be faster. If you have a complex project, then maybe try the Spiral model. Here the spiral is a useful metaphor that indicates a hopeful convergence of the project at the centre of a Spiral chart.
Then there is the Object Oriented model. Which takes its inspiration from the rise of OO languages like C++ and Java. As you build up a library of classes, then the more useful this model becomes, at the project level.
Each of the above models is concisely explained. The entire book has this flavour. With a continual emphasis on metrics, as these are crucial to permitting an objective assessment of your project. In some ways, without taking sides as to which model you might adopt, the book seems to suggest that doing the metrics may be at least as important. So that you get some tangible idea of how your project is progressing.
It is also nice to see that he gives no mention of Extreme Programming. This is a dead end that was briefly popular amongst some developers, until its disadvantages became apparent.
The book is structured somewhat like a textbook, with questions at the end of each chapter. Certainly useful in focusing your attention. But its usage as an actual text in a university course seems unlikely. Not due to any failing in the book. But simply that computer science departments rarely teach this topic in any detail. Mostly left to industry.