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 Abel Avram, Floyd Marinescu - Lulu.com
This book is a short, quickly-readable summary and introduction to the fundamentals of Domain Driven Design; it does not introduce any new concepts; it attempts to concisely summarize the essence of what Domain Driven Design is.
by Helmut G. Katzgraber - arXiv
Writing complex computer programs to study scientific problems requires careful planning and an in-depth knowledge of programming languages and tools. In this text the importance of using the right tool for the right problem is emphasized.
by Dave Hoover, Adewale Oshineye - O'Reilly Media
These patterns address difficult situations that programmers, administrators, and DBAs face every day. The book also approaches software development as a means to personal fulfillment. Discover how it can help you make the best of your career.
by Michael DiBernardo (ed.) - The Architecture of Open Source Applications
This book provides you with the chance to study how 26 experienced programmers think when they are building something new. The programs you will read about in this book were all written from scratch to solve difficult problems.