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Learning UML 2.0

Learning UML 2.0

Author: Russ Miles

Publisher: "O'Reilly Media, Inc."

ISBN: 9780596555221

Category: Computers

Page: 290

View: 302

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"Since its original introduction in 1997, the Unified Modeling Language has revolutionized software development. Every integrated software development environment in the world--open-source, standards-based, and proprietary--now supports UML and, more importantly, the model-driven approach to software development. This makes learning the newest UML standard, UML 2.0, critical for all software developers--and there isn't a better choice than this clear, step-by-step guide to learning the language." --Richard Mark Soley, Chairman and CEO, OMG If you're like most software developers, you're building systems that are increasingly complex. Whether you're creating a desktop application or an enterprise system, complexity is the big hairy monster you must manage. The Unified Modeling Language (UML) helps you manage this complexity. Whether you're looking to use UML as a blueprint language, a sketch tool, or as a programming language, this book will give you the need-to-know information on how to apply UML to your project. While there are plenty of books available that describe UML, Learning UML 2.0 will show you how to use it. Topics covered include: Capturing your system's requirements in your model to help you ensure that your designs meet your users' needs Modeling the parts of your system and their relationships Modeling how the parts of your system work together to meet your system's requirements Modeling how your system moves into the real world, capturing how your system will be deployed Engaging and accessible, this book shows you how to use UML to craft and communicate your project's design. Russ Miles and Kim Hamilton have written a pragmatic introduction to UML based on hard-earned practice, not theory. Regardless of the software process or methodology you use, this book is the one source you need to get up and running with UML 2.0. Russ Miles is a software engineer for General Dynamics UK, where he works with Java and Distributed Systems, although his passion at the moment is Aspect Orientation and, in particular, AspectJ. Kim Hamilton is a senior software engineer at Northrop Grumman, where she's designed and implemented a variety of systems including web applications and distributed systems, with frequent detours into algorithms development.

Learning UML

Learning UML

Author: Sinan Si Alhir

Publisher: "O'Reilly Media, Inc."

ISBN: 0596003447

Category: Computers

Page: 234

View: 572

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This new book is the definitive primer for UML, and starts with the foundational concepts of object-orientation in order to provide the proper context for explaining UML.

Applying UML

Applying UML

Author: Rob Pooley

Publisher: Butterworth-Heinemann

ISBN: 9780080527505

Category: Computers

Page: 224

View: 678

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Unified Modeling Language (UML) is a general-purpose notation language for specifying and visualizing complex software, especially large, object-oriented projects. Object-oriented programming is when a programmer defines not only the data type of a data structure, but also the types of operations/functions that can be applied to the data structure. Applying UML addresses the practical issues faced by users in adopting UML. As the title suggests, it helps the reader in actually applying UML to real life situations, rather than just in learning the language. The book covers in depth detail of UML, including notation on profiles and extensions. The scope of the book assumes prior experience in software engineering and/or business modeling, an understanding of object-oriented concepts and a basic knowledge of UML. * Case study driven approach covering a wide range of issues * Contains advanced tutorial material to aid learning * Focuses on practical issues in the application of UML

Learn UML in 24 Hours

Learn UML in 24 Hours

Author: Alex Nordeen

Publisher: Guru99

ISBN:

Category: Computers

Page: 180

View: 347

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UML stands for Unified Modeling Language used for creating object-oriented, meaningful documentation models for any software system present. It provides us a way to develop rich models that describe the working of any software/hardware systems. UML serves a great way of creating professional documentation which is a necessary part of any project development. Here is what is covered in the book – Chapter 1: UML Diagrams: Versions, Types, History, Tools, Examples 1.What is UML? 2.Why use UML? Complete History 3.UML Versions 4.Characteristics of UML 5.Conceptual model 6.UML Diagrams 7.UML Tools Chapter 2: UML Notation Tutorial: Symbol with Examples 1.What is a model? 2.UML Building Blocks 3.Things 4.Relationships 5.Diagrams Chapter 3: UML Relationships with EXAMPLE: Dependency, Generalization, Realization 1.Association 2.Dependency 3.Generalization 4.Realization 5.Composition 6.Aggregation Chapter 4: UML Association vs Aggregation vs Composition with EXAMPLE 1.Association 2.Composition 3.Aggregation 4.Association vs. Aggregation vs. Composition Chapter 5: UML Class Diagram Tutorial with Examples 1.What is Class? 2.What is Class Diagram? 3.Benefits of Class Diagram 4.Essential elements of A UML class diagram 5.Aggregation vs. Composition 6.Abstract Classes 7.Example of UML Class Diagram 8.Class Diagram in Software Development Lifecycle 9.Best practices of Designing of the Class Diagram Chapter 6: What is UML Object Diagram? Tutorial with Example 1.What is a Class Diagram? 2.What is an Object Diagram? 3.How to draw an object diagram? 4.Purpose of an object diagram: 5.Applications of Object Diagrams: 6.Class vs. Object Diagrams Chapter 7: UML Use Case Diagram: Tutorial with EXAMPLE 1.What is the Use Case Diagram? 2.Why Use-Case diagram? 3.Use-case diagram notations 4.How to draw a use-case diagram? 5.Tips for drawing a use-case diagram 6.An example of a use-case diagram 7.When to use a use-case diagram? Chapter 8: State Machine Diagram: UML Tutorial with EXAMPLE 1.What is a State Machine Diagram? 2.Why State Machine Diagram? 3.Notation and Symbol for State Machine 4.Types of State 5.How to draw a Statechart diagram? 6.When to use State Diagrams? 7.Example of State Machine 8.State machine vs. Flowchart Chapter 9: UML Activity Diagram: What is, Components, Symbol, EXAMPLE 1.What is an Activity Diagram? 2.Components of Activity Diagram 3.Why use Activity Diagrams? 4.Activity Diagram Notations 5.How to draw an activity diagram? 6.Example of Activity Diagram 7.When Use Activity Diagram Chapter 10: Interaction, Collaboration, Sequence Diagrams with EXAMPLES 1.What is Interaction diagram? 2.Purpose of an Interaction Diagram 3.Important terminology 4.Types of Interaction diagram and Notations 5.Sequence Diagram 6.What is the Collaboration diagram? 7.Timing diagram 8.How to draw a Interaction diagram? 9.Use of an interaction diagram Chapter 11: Component Diagram: UML Tutorial with EXAMPLE 1.What is Component Diagram? 2.Component diagram Notations 3.What is a Component? 4.Why use Component Diagram? 5.When to use Component Diagram? 6.How to draw a component diagram 7.Example of a component diagram Chapter 12: Deployment Diagram: UML Tutorial with EXAMPLE 1.What is Deployment Diagram? 2.Purpose of a deployment diagram 3.Deployment Diagram Symbol and notations 4.What is an artifact? 5.What is a node? 6.How to draw a deployment diagram? 7.Example of a Deployment diagram 8.When to use a deployment diagram? Click the BUY button now and download the book now to start learning UML. Learn it fast and learn it well. Pick up your copy today by clicking the BUY NOW button at the top of this page!

Proceedings of IAC 2020 in Budapest

Proceedings of IAC 2020 in Budapest

Author: Group of Authors

Publisher: Czech Institute of Academic Education

ISBN: 9788088203155

Category: Political Science

Page: 249

View: 103

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International Academic Conference on Teaching, Learning and E-learning International Academic Conference on Management, Economics and Marketing International Academic Conference on Transport, Logistics, Tourism and Sport Science

Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences

Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences

Author: Chee-Kit Looi

Publisher: IOS Press

ISBN: 9781586035730

Category: Science

Page: 985

View: 677

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One of the basic principles that underpin the learning sciences is to improve theories of learning through the design of powerful learning environments that can foster meaningful learning. Learning sciences researchers prefer to research learning in authentic contexts. They collect both qualitative and quantitative data from multiple perspectives and follow developmental micro-genetic or historical approaches to data observation. Learning sciences researchers conduct research with the intention of deriving design principles through which change and innovation can be enacted. Their goal is to conduct research that can sustain transformations in schools. We need to be cognizant of research that can inform and lead to sustainable and scalable models of innovation. In order to do so, we need to take an inter-disciplinary view of learning, such as that embraced by the learning sciences. This publication focuses on learning sciences in the Asia-Pacific context. There are researchers and young academics within the Asia-Pacific Society for Computers in Education (APSCE) community who are concerned with issues of conducting research that can be translated into practice. Changes in practice are especially important to Asian countries because their educational systems are more centralized. That is why there is a need to reform pedagogy in a more constructivist and social direction in a scalable way.

UML Applied

UML Applied

Author: Martin L. Shoemaker

Publisher: Apress

ISBN: 9781430207122

Category: Computers

Page: 560

View: 910

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A fast and easy five-step UML approach developed by the author is the basis of this practical introduction to the application of UML in a .NET world.

UML Pocket Reference

UML Pocket Reference

Author: Dan Pilone

Publisher: "O'Reilly Media, Inc."

ISBN: 0596004974

Category: Computers

Page: 81

View: 499

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The Unified Modeling Language (UML) is one of the most important languages for anyone in the software industry to know. The UML is a visual language enabling architects, designers, and developers to communicate about design. Seemingly simple on the surface, the UML is a rich and expressive language, with many visual syntactical elements. It's next to impossible to memorize all aspects of the UML. Just as a writer might require a dictionary to work with the spoken word, so too do UML practitioners require a dictionary of sorts. In this book, you'll find information on UML usage, and also on the symbols, line-endings, and syntax used for the following diagram types: Class diagrams Component diagrams Behavioral diagrams Sequence diagrams Statechart diagrams Object diagrams Deployment diagrams Use case diagrams Collaboration diagrams Activity diagrams Let this book be your UML dictionary. It's clear, concise, and small. Keep this book at hand, and never again be stymied by an unfamiliar UML symbol, a line-ending you don't recognize, or the use of an unfamiliar diagram type. O'Reilly's Pocket References have become a favorite among programmers everywhere. By providing a wealth of important details in a concise, well-organized format, these handy books deliver just what you need to complete the task at hand. When you need to get to a solution quickly, the new UML Pocket Reference is the book you'll want to have.

Machine Learning in Biotechnology and Life Sciences

Machine Learning in Biotechnology and Life Sciences

Author: Saleh Alkhalifa

Publisher: Packt Publishing Ltd

ISBN: 9781801815673

Category: Mathematics

Page: 408

View: 341

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Explore all the tools and templates needed for data scientists to drive success in their biotechnology careers with this comprehensive guide Key FeaturesLearn the applications of machine learning in biotechnology and life science sectorsDiscover exciting real-world applications of deep learning and natural language processingUnderstand the general process of deploying models to cloud platforms such as AWS and GCPBook Description The booming fields of biotechnology and life sciences have seen drastic changes over the last few years. With competition growing in every corner, companies around the globe are looking to data-driven methods such as machine learning to optimize processes and reduce costs. This book helps lab scientists, engineers, and managers to develop a data scientist's mindset by taking a hands-on approach to learning about the applications of machine learning to increase productivity and efficiency in no time. You'll start with a crash course in Python, SQL, and data science to develop and tune sophisticated models from scratch to automate processes and make predictions in the biotechnology and life sciences domain. As you advance, the book covers a number of advanced techniques in machine learning, deep learning, and natural language processing using real-world data. By the end of this machine learning book, you'll be able to build and deploy your own machine learning models to automate processes and make predictions using AWS and GCP. What you will learnGet started with Python programming and Structured Query Language (SQL)Develop a machine learning predictive model from scratch using PythonFine-tune deep learning models to optimize their performance for various tasksFind out how to deploy, evaluate, and monitor a model in the cloudUnderstand how to apply advanced techniques to real-world dataDiscover how to use key deep learning methods such as LSTMs and transformersWho this book is for This book is for data scientists and scientific professionals looking to transcend to the biotechnology domain. Scientific professionals who are already established within the pharmaceutical and biotechnology sectors will find this book useful. A basic understanding of Python programming and beginner-level background in data science conjunction is needed to get the most out of this book.

Software Engineering with UML

Software Engineering with UML

Author: Bhuvan Unhelkar

Publisher: CRC Press

ISBN: 9781351235167

Category: Computers

Page: 390

View: 224

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This book presents the analysis, design, documentation, and quality of software solutions based on the OMG UML v2.5. Notably it covers 14 different modelling constructs including use case diagrams, activity diagrams, business-level class diagrams, corresponding interaction diagrams and state machine diagrams. It presents the use of UML in creating a Model of the Problem Space (MOPS), Model of the Solution Space (MOSS) and Model of the Architectural Space (MOAS). The book touches important areas of contemporary software engineering ranging from how a software engineer needs to invariably work in an Agile development environment through to the techniques to model a Cloud-based solution.

Knowledge-based Software Engineering

Knowledge-based Software Engineering

Author: E. Kh Tyugu

Publisher: IOS Press

ISBN: 9781586036409

Category: Computers

Page: 338

View: 135

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"This publication addresses the research in theoretical foundations, practical techniques, software tools, applications and / or practical experiences in knowledge-based software engineering. The book also includes a new field: research in web services and semantic web. This is a rapidly developing research area promising to give excellent practical outcome, and interesting for theoretically minded as well as for practically minded people. The largest part of the papers belongs to a traditional area of applications of artificial intelligence methods to various software engineering problems. Another traditional section is application of intelligent agents in software engineering. A separate section is devoted to interesting applications and special techniques related in one or another way to the topic of the conference."

Artificial Intelligence in Education

Artificial Intelligence in Education

Author: Ig Ibert Bittencourt

Publisher: Springer Nature

ISBN: 9783030522407

Category: Computers

Page: 436

View: 117

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This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. ​*The conference was held virtually due to the COVID-19 pandemic.