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Designed for software professionals who are concerned about the success of their object-oriented projects, this volume covers all aspects of the Booch method and how a complete method must address a model's notation and semantics as well as a proccess for creating that model
For nearly ten years, the Unified Modeling Language (UML) has been the industry standard for visualizing, specifying, constructing, and documenting the artifacts of a software-intensive system. As the de facto standard modeling language, the UML facilitates communication and reduces confusion among project stakeholders. The recent standardization of UML 2.0 has further extended the language's scope and viability. Its inherent expressiveness allows users to model everything from enterprise information systems and distributed Web-based applications to real-time embedded systems. In this eagerly anticipated revision of the best-selling and definitive guide to the use of the UML, the creators of...
Object Solutions is a direct outgrowth of Grady Booch's experience with object-oriented project in development around the world. This book focuses on the development process and is the perfect resource for developers and managers who want to implement object technologies for the first time or refine their existing object-oriented development practice. The book is divided into two major sections. The first four chapters describe in detail the process of object-oriented development in terms of inputs, outputs, products, activities, and milestones. The remaining ten chapters provide practical advice on key issues including management, planning, reuse, and quality assurance. Drawing upon his knowledge of strategies used in both successful and unsuccessful projects, Grady Booch offers pragmatic advice for applying object-technologies and controlling projects effectively.
A revision of Booch's bestselling book on Ada as it is used from a software engineering perspective. Features include a thorough introduction to Syntax, new example programs, more real-world examples and summaries.
As the digital economy changes the rules of the game for enterprises, the role of software and IT architects is also transforming. Rather than focus on technical decisions alone, architects and senior technologists need to combine organizational and technical knowledge to effect change in their company’s structure and processes. To accomplish that, they need to connect the IT engine room to the penthouse, where the business strategy is defined. In this guide, author Gregor Hohpe shares real-world advice and hard-learned lessons from actual IT transformations. His anecdotes help architects, senior developers, and other IT professionals prepare for a more complex but rewarding role in the en...
The authors explain the underlying software development principles behind theRUP, and guide readers in its application in their organization.
Concepts; Complexity. The object model; Classes and objects; Classification; The method; The notation; The process; Pragmatics; Applications; Smalltalk: Home heating system; Object Pascal: geometrical optics construction kit; C++: problem reporting system; Common LISP object system: cryptanalysis; Ada: Traffic management system; Appendix.
"If you are a serious user of UML, there is no other book quite like this one. I have been involved with the UML specification process for some time, but I still found myself learning things while reading through this book-especially on the changes and new capabilities that have come with UML." -Ed Seidewitz, Chief Architect, IntelliData Technologies Corporation The latest version of the Unified Modeling Language-UML 2.0-has increased its capabilities as the standard notation for modeling software-intensive systems. Like most standards documents, however, the official UML specification is difficult to read and navigate. In addition, UML 2.0 is far more complex than previous versions, making ...
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data proje...