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.
Download or read it online for free here:
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.
by Richard P. Gabriel - Oxford University Press
An informative inside look at the world of software design and computer programming and the business that surrounds them. Written for computer scientists and software entrepreneurs, but the essays are accessible to everyone.
by The Unicode Consortium - Addison-Wesley Professional
Technical guide to the creation of software for worldwide use. The book includes detailed specifications for Unicode: structure, encoding forms, character properties, semantics, equivalence, combining characters, conversion, allocation, etc.
by Aruna Ravichandran, Kieran Taylor, Peter Waterhouse - Springer
This book provides digital leaders who are accountable for the rapid development of high-quality software applications a concise guide to designing, implementing, measuring, and improving DevOps programs that are tailored to their organizations.