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 Nick Jenkins
An introduction to software development based on Rapid Application Development (RAD) and rapid prototyping. You don't have to be a genius to deliver software on time and join the 'elite' of the software development world.
by Matthias Felleisen, et al - The MIT Press
The focus of the book is the design process, from problem statements to organized solutions, it deemphasizes the algorithmic and language details, and specific applications. Programming is a fun activity, and a way to express abstract ideas.
by Sean Chambers, Simone Chiaretta - Los Techies
Refactoring is an integral part of continually improving your code while it moves forward through time. It is an easy concept to get started with and opens the door to better practices such as unit testing, shared code ownership and bug-free code.
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.