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 Kenneth Leroy Busbee - Connexions
The approach of this course will be to take the student through a progression of materials that will allow the student to develop the skills of programming. This textbook covers modular/structured programming fundamentals.
A guide for software source code quality. The guidelines apply to anyone who creates, modifies, or reads software source code. This document is a set of rules to follow during the implementation phase that will help produce a higher quality result.
by Neil Davidson - Red gate books
How do you price your software? Is it science or magic? How much attention should you pay to your competitors? This handbook will provide you with the theory, practical advice and case studies you need to stop yourself from reaching for the dice.
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This book focuses on the nuts and bolts of programming, with simple and practical techniques you can use every time you sit down to write code. You'll find tips throughout the book, with easy-to-digest code examples and helpful illustrations.