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You can use this page to email Jules May about Extreme Reliability.
About the Book
Amid the chaos of real-world software development, programmers often express regret for the mess they’ve made, and hope for a better world. After half a century of developing software, we all agree about the principles that good development practice should follow. And yet our code is still a mess. Surely, software can be developed better than this?
We just accept that software is inherently flawed, that all software contains bugs like original sin, and we design our processes around that. But what if it were possible to write software correctly? What if we could create bug-free, maintainable code? And what if it were cheaper, faster and easier to write correct code than to write the buggy variety? What then?
It turns out that it is possible to write code that behaves perfectly, all the time. In fact, perfectly-behaving code is not uncommon – we have been entrusting our lives to it for decades. What do they do, these perfect programmers, that the rest of us don’t? What research backs up their practices? Can we all do what they do?
The message in this book is: yes, there really are techniques and methodologies which will deliver perfectly-functioning software at industrial scale. Tucked away in unregarded corners of our industry, there are developers turning out high-quality software in a scalable fashion. Presented here is: this is how other great programmers have understood (and solved) their reliability problems, and this is what we can learn from them.
This book is for developers and technical leads who want to eliminate not just 95% of their bugs, but all of them. For developers who want to delver flawless software, faster.
About the Author
Jules is a freelance consultant specialising in safety-critical systems, mathematical software, and compilers and languages. He has been writing, teaching and speaking for 25 years, and conducts frequent lectures and workshops. He is the author of Extreme Reliability: Programming like your life depends on it, and is the originator of Problem Space Analysis.