Use case analysis is a methodology for defining the outward features of a software system from the user's point of view. Applying Use Cases, Second Edition, offers a clear and practical introduction to this cutting-edge software development technique. Using numerous realistic examples and a detailed case study, you are guided through the application of use case analysis in the development of software systems. This new edition has been updated and expanded to reflect the Unified Modeling Language (UML) version 1.3. It also includes more complex and precise examples, descriptions of the pros and cons of various use case documentation techniques, and discussions on how other modeling approaches relate to use cases. Applying Use Cases, Second Edition, walks you through the software development process, demonstrating how use cases apply to project inception, requirements and risk analysis, system architecture, scheduling, review and testing, and documentation. Key topics include: Identifying use cases and describing actors Writing the flow of events, including basic and alternative paths Reviewing use cases for completeness and correctness Diagramming use cases with activity diagrams and sequence diagrams Incorporating user interface description and data description documents Testing architectural patterns and designs with use cases Applying use cases to project planning, prototyping, and estimating Identifying and diagramming analysis classes from use cases Applying use cases to user guides, test cases, and training material An entire section of the book is devoted to identifying common mistakes and describing their solutions. Also featured is a handy collection of documentation templates and an abbreviated guide to UML notation. You will come away from this book with a solid understanding of use cases, along with the skills you need to put use case analysis to work.

"This is the fourth report on mothers and babies in NSW to combine the annual reports of the NSW Midwives Data Collection (MDC), the Neonatal Intensive Care Units' Data Collection and the NSW Birth Defects Register."--Page 9.

As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries. With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below: An Intelligent IoT framework for smart water management An IoT-enabled smart traffic control system for congestion control and smart traffic management An intelligent airport system for airport management and security surveillance An IoT framework for healthcare to integrate and report patient information Fuzzy scheduling with IoT for tracking and monitoring hotel assets An IoT system for designing drainage systems and monitoring drainage pipes Predictive maintenance of plant equipment to decide the actual mean time to malfunction Integrated neural networks and IoT systems for predictive equipment maintenance IoT integration in blockchain for smart waste management This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications.

Discusses how to define and organize use cases that model the user requirements of a software application. The approach focuses on identifying all the parties who will be using the system, then writing detailed use case descriptions and structuring the use case model. An ATM example runs throughout the book. The authors work at Rational Software. Annotation copyrighted by Book News, Inc., Portland, OR

By using the Migration Manager, you can migrate configuration content from one production environment to another. The typical use is to migrate configuration content from a development environment to a test environment and then on to production for the Tivoli® process automation engine and its applications, such as IBM® SmartCloud® Control Desk. The goal of migration is to ensure that your production environment fully meets the needs of your users. This IBM Redbooks® publication is an update of the existing book Migration Use Cases with the Migration Manager, SG24-7906 and covers the most common migration use cases with the Migration Manager, including the capabilities that were introduced with Tivoli's process automation engine V7.5. These use cases are only a small subset of the possible migration scenarios that can be performed by the Migration Manager, but they were chosen to be representative of the capabilities of the Migration Manager. In addition to these use cases, the book presents a migration strategy and a comprehensive chapter about troubleshooting possible migration problems when the Migration Manager is used. We strongly suggest that you read Chapter 1, "Migration strategy" on page 1 first before reading the other chapters. This chapter give syou a good foundation for all of the migration scenarios that are covered in the book. This book is a reference for IT Specialists and IT Architects working on migrating configuration content from one production environment to another by using the Migration Manager.

To address new demands in business computing, software vendors are introducing application server toolkits. The concept is to create clusters of low-cost computers that support one specific business area, then connect these clusters to the corporate network. By using the network as the computer, one piece of software can support desktop computing, electronic commerce, and communication with traditional mainframe software. Building Application Servers is a practical guide to application server technology, explaining the theory of network computing and providing practical techniques that use these tools to produce effective business solutions. Rick Leander includes practical examples and program code that use UML, Java, RMI, and JDBC to illustrate design problems and programming techniques. The development framework offered spans a variety of platforms, vendors, and middleware architectures. Software developers who are familiar with traditional client/server technology but want to learn how to move to distributed client/server computing will find this book invaluable.

Diagramming and process are important topics in today’s software development world, as the UML diagramming language has come to be almost universally accepted. Yet process is necessary; by themselves, diagrams are of little use. Use Case Driven Object Modeling with UML - Theory and Practice combines the notation of UML with a lightweight but effective process - the ICONIX process - for designing and developing software systems. ICONIX has developed a growing following over the years. Sitting between the free-for-all of Extreme Programming and overly rigid processes such as RUP, ICONIX offers just enough structure to be successful.

"Addresses the complex subject of managing applications from the initial business need, through the Application Management lifecycle, up to and including retirement." - page 3.

Because performance is paramount today, this thoroughly updated guide shows you how to test mission-critical applications for scalability and performance before you deploy them—whether it’s to the cloud or a mobile device. You’ll learn the complete testing process lifecycle step-by-step, along with best practices to plan, coordinate, and conduct performance tests on your applications. Set realistic performance testing goals Implement an effective application performance testing strategy Interpret performance test results Cope with different application technologies and architectures Understand the importance of End User Monitoring (EUM) Use automated performance testing tools Test traditional local applications, web applications, and web services Recognize and resolves issues often overlooked in performance tests Written by a consultant with over 15 years’ experience with performance testing, The Art of Application Performance Testing thoroughly explains the pitfalls of an inadequate testing strategy and offers a robust, structured approach for ensuring that your applications perform well and scale effectively when the need arises.