Book Image

Understanding Software

By : Max Kanat-Alexander
Book Image

Understanding Software

By: Max Kanat-Alexander

Overview of this book

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There’s just too much complex stuff in the world. Complex stuff can’t be used, and it breaks too easily. Complexity is stupid. Simplicity is smart. Understanding Software covers many areas of programming, from how to write simple code to profound insights into programming, and then how to suck less at what you do! You'll discover the problems with software complexity, the root of its causes, and how to use simplicity to create great software. You'll examine debugging like you've never done before, and how to get a handle on being happy while working in teams. Max brings a selection of carefully crafted essays, thoughts, and advice about working and succeeding in the software industry, from his legendary blog Code Simplicity. Max has crafted forty-three essays which have the power to help you avoid complexity and embrace simplicity, so you can be a happier and more successful developer. Max's technical knowledge, insight, and kindness, has earned him code guru status, and his ideas will inspire you and help refresh your approach to the challenges of being a developer.
Table of Contents (50 chapters)
Understanding Software
About the Author
Customer Feedback
The Engineer Attitude
The Singular Secret of the Rockstar Programmer
Software Design, in Two Sentences
Clues to Complexity
Ways To Create Complexity: Break Your API
When Is Backwards-Compatibility Not Worth It?
Complexity is a Prison
The Accuracy of Future Predictions
Simplicity and Strictness
Two is Too Many
What is a Bug?
What is a Computer?
The Components of Software: Structure, Action, and Results
Software as Knowledge
Simplicity and Security
How We Figured Out What Sucked
Why Programmers Suck
Developer Hubris
"Consistency" Does Not Mean "Uniformity"
Success Comes from Execution, Not Innovation

End to End Testing

"End to end" testing is where you make an assertion that involves one complete "path" through the logic of the system. That is, you start up the whole system, perform some action at the entry point of user input, and check the result that the system produces. You don't care how things work internally to accomplish this goal, you just care about the input and result. That is generally true for all tests, but here we're testing at the outermost point of input into the system and checking the outermost result that it produces, only.

An example end to end test for creating a user account in a typical web application would be to start up a web server, a database, and a web browser, and use the web browser to actually load the account creation web page, fill it in, and submit it. Then you would assert that the resulting page somehow tells us the account was created successfully.

The idea behind end to end testing is that we gain fully accurate knowledge about our assertions because...