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 Agner Fog - agner.org
These manuals describe everything you need to know about optimizing code for x86 and x86-64 microprocessors, including optimization advices for C++ and assembly language, details about the microarchitecture and instruction timings of processors.
This document will focus on optimizing code to run faster. The intended audience of this text are software developers, primarily programmers who know at least one programming language well enough to write moderately complex programs.
by Gary Marrer
Written for students who are preparing for their first computer programming language class. The topics are presented in an easy to understand fashion with special emphasis on the fundamental concepts necessary to develop quality software programs.
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These articles are the original, unedited contributions for the book 97 Things Every Software Architect Should Know. Today's leading software architects present valuable principles on key development issues that go way beyond technology.