This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in finance, system migration, internet systems and software refactoring are given. An established open-source MBD technology, UML-RSDS, is used throughout to illustrate the concepts. The book is suitable for industrial practitioners who need training in Agile MBD, and those who need to understand the issues to be considered when introducing MBD in an industrial context. It is also suitable for academic researchers, and for use as text for undergraduate or postgraduate courses in MBD. Examples for educational use of UML-RSDS are included in the book.
This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in finance, system migration, internet systems and software refactoring are given. An established open-source MBD technology, UML-RSDS, is used throughout to illustrate the concepts. The book is suitable for industrial practitioners who need training in Agile MBD, and those who need to understand the issues to be considered when introducing MBD in an industrial context. It is also suitable for academic researchers, and for use as text for undergraduate or postgraduate courses in MBD. Examples for educational use of UML-RSDS are included in the book.
In food product development, as in all new product development, time is money. This is the first book that describes and explains food development from the point of view of the consumer rather than from the top down approach. Innovative development starts with the consumers and makes use of new disrupting technologies to describe the process. Combining research from experienced and international top quality contributors, it defines the more nuanced development solutions that are becoming available. Coverage includes the use of artificial intelligence, big data and other new technologies that add to the new product development (NPD) process and help to create successful products with shorter lead times. It includes case studies from around the world that consider aspects of consumer behaviour as well as consumer responses to market research. Aimed at all those involved in new product development, e.g. marketing personnel, food engineers and manufacturers as well as food scientists, this book will provide a fascinating insight into this exciting area of research.
This book constitutes the refereed proceedings of the 10th International Conference on System Analysis and Modeling, SAM 2018, held in Copenhagen Denmark, in October 2018. The 12 full papers and 2 short papers presented were carefully reviewed and selected from 24 submissions. The papers describe innovations, trends, and experiences in modeling and analysis of complex systems using ITU-T's Specification and Description Language (SDL-2010) and Message Sequence Chart (MSC) notations, as well as related system design languages — including UML, ASN.1, TTCN, SysML and the User Requirements Notation (URN). This year’s edition of SAM will be under the theme “Languages, Methods, and Tools for Systems Engineering”, including languages and methods standardized by the ITU-T, and domain-specific languages. Also included are software engineering technologies, such as for requirements engineering, software verification and validation, and automated code generation.
In this textbook the authors introduce the important concepts of the financial software domain, and motivate the use of an agile software engineering approach for the development of financial software. They describe the role of software in defining financial models and in computing results from these models. Practical examples from bond pricing, yield curve estimation, share price analysis and valuation of derivative securities are given to illustrate the process of financial software engineering. Financial Software Engineering also includes a number of case studies based on typical financial engineering problems: *Internal rate of return calculation for bonds * Macaulay duration calculation for bonds * Bootstrapping of interest rates * Estimation of share price volatility * Technical analysis of share prices * Re-engineering Matlab to C# * Yield curve estimation * Derivative security pricing * Risk analysis of CDOs The book is suitable for undergraduate and postgraduate study, and for practitioners who wish to extend their knowledge of software engineering techniques for financial applications
Learn how to translate an executable model of your application into running code. This is not a book about theory, good intentions or possible future developments. You’ll benefit from translation technology and solid software engineering principles that are demonstrated with concrete examples using an open source tool chain. Models don’t deliver enough value if they are not on a direct path to code production. But to waste time building models that are merely pictures of your code doesn’t add much value either. In this book, you’ll translate detailed, yet platform-independent models that solve real application problems. Using a pragmatic approach, Models to Code quickly dives into two case studies of Executable UML models. The models and code are extensively annotated and illustrate key principles that are emphasized throughout the book. You’ll work with code production using "C" as the implementation language and targeting microcomputer class processors. This might not be your particular target language or platform, but you can use you can use what you learn here to engineer or re-evaluate your own code translation system to dramatically increase the value of both your modeling and code generation solution. Written by three leading experts, Models to Code is an exceptional resource for producing software by model translation— add it to your library today. What You'll Learn See how detailed models resolve ambiguity and contradiction common in requirements. Examine how a model can be detailed enough to be executable and testable while remaining platform independent Produce code from a model, leaving the model intact so it can be redeployed on new platforms or adapted to changing software and hardware technology. Implement platform independent model execution rules in platform specific run-time code Who This Book Is For Modelers and systems engineers on active MBSE projects (using Executable UML or not), projects using Simulink, Matlab, Dymola, MatrixX and other math modelling tools. Any developers with current or past model experience, professors, students, systems engineers, embedded systems developers, or anyone interested in learning more about software modelling.
Explores the architecture, components, and tools of Microsoft Dynamics AX 2012 R3, including forms, security, SharePoint integration, workflow infrastructure, reporting, automating tasks and document distribution, and application domain frameworks.
For all software engineering courses on UML, object-oriented analysis and modeling, and analysis/modeling for real-time or embedded software. Executable UML is for students who want to apply object-oriented analysis and modeling techniques to real-world UML projects. Leon Starr presents the skills and techniques needed to build useful class models for creating precise, executable software specifications that generate target code in multiple languages and for multiple platforms. Leon, who wrote the definitive guide to Shlaer-Mellor modeling, emphasizes the practical use of executable UML modeling, presenting extensive examples from real-time embedded and scientific applications. Using the materials in his How to Build Shlaer-Mellor Object Models as a starting point, Leon presents an entirely new introduction to Executable UML, expresses all diagrams in Executable UML notation, and adds advanced new object modeling techniques.
Dive into the business intelligence features in SharePoint 2013—and use the right combination of tools to deliver compelling solutions. Take control of business intelligence (BI) with the tools offered by SharePoint 2013 and Microsoft SQL Server 2012. Led by a group of BI and SharePoint experts, you’ll get step-by-step instructions for understanding how to use these technologies best in specific BI scenarios—whether you’re a SharePoint administrator, SQL Server developer, or business analyst. Discover how to: Manage the entire BI lifecycle, from determining key performance indicators to building dashboards Use web-based Microsoft Excel services and publish workbooks on a SharePoint Server Mash up data from multiple sources and create Data Analysis Expressions (DAX) using PowerPivot Create data-driven diagrams that provide interactive processes and context with Microsoft Visio Services Use dashboards, scorecards, reports, and key performance indicators to monitor and analyze your business Use SharePoint to view BI reports side by side, no matter which tools were used to produced them
