Here's a recommendation list of books I've read or am in the process of reading.
69 results.
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics.
Mark Richards and Neal Ford?hands-on practitioners who have taught software architecture classes professionally for years?focus on architecture principles that apply across all technology stacks. You’ll explore software architecture in a modern light, taking into account all the innovations of the past decade.
This book examines:
- Architecture patterns: The technical basis for many architectural decisions
- Components: Identification, coupling, cohesion, partitioning, and granularity
- Soft skills: Effective team management, meetings, negotiation, presentations, and more
- Modernity: Engineering practices and operational approaches that have changed radically in the past few years
- Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture
The Mom Test is a quick, practical guide that will save you time, money, and heartbreak.
They say you shouldn't ask your mom whether your business is a good idea, because she loves you and will lie to you. This is technically true, but it misses the point. You shouldn't ask anyone if your business is a good idea. It's a bad question and everyone will lie to you at least a little . As a matter of fact, it's not their responsibility to tell you the truth. It's your responsibility to find it and it's worth doing right .
Talking to customers is one of the foundational skills of both Customer Development and Lean Startup. We all know we're supposed to do it, but nobody seems willing to admit that it's easy to screw up and hard to do right. This book is going to show you how customer conversations go wrong and how you can do better.
Designing Secure Software consolidates Loren Kohnfelder’s more than twenty years of experience into a concise, elegant guide to improving the security of technology products. Written for a wide range of software professionals, it emphasizes building security into software design early and involving the entire team in the process.
The book begins with a discussion of core concepts like trust, threats, mitigation, secure design patterns, and cryptography. The second part, perhaps this book’s most unique and important contribution to the field, covers the process of designing and reviewing a software design with security considerations in mind. The final section details the most common coding flaws that create vulnerabilities, making copious use of code snippets written in C and Python to illustrate implementation vulnerabilities.
The world's leading expert on the global software industry and coauthor of the bestseller Microsoft Secrets reveals the inner workings of software giants like IBM, Microsoft, and Netscape and shows what it takes to create, develop, and manage a successful company -- in good times and bad -- in the most fiercely competitive business in the world.
In the $600 billion software industry it is the business, not the technology, that determines success or failure. This fact -- one that thousands of once glamorous start-ups have unhappily discovered for themselves -- is the well-documented conclusion of this enormously readable and revealing new book by Michael Cusumano, based on nearly twenty years of research and consulting with software producers around the world.
Cusumano builds on dozens of personal experiences and case studies to show how issues of strategy and organization are irrevocably linked with those of managing the technology and demonstrates that a thorough understanding of these issues is vital to success. At the heart of the book Cusumano poses seven questions that underpin a three-pronged management framework. He argues that companies must adopt one of three basic business models: become a products company at one end of the strategic spectrum, a services company at the other end, or a hybrid solutions company in between. The author describes the characteristics of the different models, evaluates their strengths and weaknesses, and shows how each is more or less appropriate for different stages in the evolution of a business as well as in good versus bad economic times. Readers will also find invaluable Cusumano's treatment of software development issues ranging from architecture and teams to project management and testing, as well as two chapters devoted to what it takes to create a successful software start-up. Highlights include eight fundamental guidelines for evaluating potential software winners and Cusumano's probing analysis, based on firsthand knowledge, of ten start-ups that have met with varying degrees of success.
The Business of Software is timely essential reading for managers, programmers, entrepreneurs, and others who follow the global software industry.
The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoring and potentially augmenting human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and deep brain stimulation for Parkinson’s disease are becoming increasingly commonplace. Brain- computer interfaces (BCIs) (also known as brain- machine interfaces or BMIs) are now being explored in applications as diverse as security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper- level undergraduate and first year graduate courses in neural engineering or brain- computer interfacing for students from a wide range of disciplines. It can also be used for self- study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include: Essential background in neuroscience, brain recording and stimulation technologies, signal processing, and machine learning.