Statistical Software Engineering
Publisher: National Academies Press 1996
Number of pages: 89
This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering.
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by Jeremy Rose - Aalborg University
This book sets out the new field of software innovation. It organizes the existing scientific research into eight simple heuristics -- guiding principles for organizing a system developer's work-life so that it focuses on innovation.
by Derick Bailey - LosTechies.com
S.O.L.I.D. is a collection of best-practice design principles which can be applied to your design, allowing you to accomplish various desirable goals such as loose-coupling, higher maintainability, intuitive location of interesting code, etc.
by Allen Downey - Green Tea Press
A concise introduction to software design using Python. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. The goal is to teach you to think like a computer scientist.
by Adam Wiggins - 12factor.net
This document synthesizes all of our experience on a wide variety of software-as-a-service apps in the wild. It is a triangulation on ideal practices for app development, paying particular attention to the dynamics of the organic growth of an app.