The document discusses metamodels and their importance for systems design and understanding business domains. Some key points:
- Metamodels provide structure and rules to model complex domains and steer modeling efforts.
- UML/SysML metamodels define modeling languages that can be used to formally represent different aspects of a system.
- Domain-specific metamodels encapsulate complexity and provide common understanding and reusable models for a business.
- Examples show how metamodels can define templates for pricing systems and capture relationships like how projects impact products.
- Metamodels help manage complexity, focus modeling efforts, and verify models conform to design rules.
Thought Leadership Session: Enterprise Semantics & Ontology, The Power of Und...Wim Laurier
Learn the 1-on-1 of Semantics & Ontology by international authorities. Explore how semantics and ontology is used as the underlying conceptual structure of an enterprise by transforming interoperability beyond existing boundaries. Understand the complex interdependencies of enterprise operations through semantics and ontology. Discover how the Global University Alliance researches, compares, analyzes and develops Best and LEADing Practices around Enterprise Semantics & Ontology.
Professor Simon Polovina
International authority and thought leader in Enterprise Semantics Sheffield Hallam University, United Kingdom
Head of Enterprise Semantics research and development at the Global University Alliance
Professor Wim Laurier
International authority and thought leader in Enterprise Ontology Université Saint-Louis, Bruxelles and Ghent University
Head of Enterprise Ontology research and development at the Global University Alliance
Semantische interoperabiliteit met behulp van een bedrijfsbrede taxonomieRichard Claassens CIPPE
Presentatie bij het paper : Semantische interoperabiliteit
met behulp van een bedrijfsbrede taxonomie;
Wat kunnen we leren van
IBM’s IFW Business Data Concepts Classification
Generation of Automatic Code using Design PatternsIRJET Journal
This document describes a tool that automatically generates code for implementing design patterns. The tool takes in basic application information from the user, such as class names, and generates all the code prescribed by the design pattern. It also incorporates an online version of the book "Design Patterns" to provide integrated reference documentation during the development process. The goal is to streamline the process of implementing design patterns by automating the lower-level coding tasks.
User experience issues -- Personalization vs. CustomizationVinay Mohanty
The difference between Personalization and Customization. Also explored are user experience issues with personalization. Case study of personalization features in GMail, Amazon, My Yahoo !
DESIGN AND DEVELOPMENT OF BUSINESS RULES MANAGEMENT SYSTEM (BRMS) USING ATLAN...ijcsit
The document describes the design and development of a Business Rules Management System (BRMS) using the ATL and Eclipse Sirius frameworks. It proposes a new "Target Ecore meta model" to improve the structure and management of business rules. The system allows business rules to be modeled and transformed from their current format into an object-oriented format using ATL model transformations. This provides improved modularity, scalability and extensibility of the rules compared to the original structure. A case study demonstrates transforming an example business rule from a software package based on the proposed approach.
ModelWriter Presentation International 01-07-2015Ferhat Erata
The project envisions an integrated authoring environment called "ModelWriter" for Technical Authors (such as Software or Systems Engineers etc.) which will combine a Semantic Word Processor (= the "Writer" part), looking like a usual word processor but capable to "understand" pieces of text and transparently create models of contents out of them; and a Knowledge Capture Tool (= the "Model" part), looking like familiar information modelling tools such as UML, BPMN, ReqIF, etc. ModelWriter will allow Technical Authors to freely move bi-directionally and interactively between text and model to enhance the quality (consistency and completeness) of the technical documents.
5 Reasons not to use Dita from a CCMS PerspectiveMarcus Kesseler
The document discusses some of the drawbacks of using DITA from the perspective of a large content management system (CCMS). It notes that DITA's coverage of core CCMS requirements is surprisingly small, addressing only 18% of requirements compared to 67% for a typical CCMS. It also argues that the evolution of the DITA standard is too slow given market demands. Additionally, it outlines how DITA deals with the proliferation of files as content is translated and new versions are created, noting this can result in many files versus a single topic accessed differently in a CCMS.
This document provides a 50-hour roadmap for building large language model (LLM) applications. It introduces key concepts like text-based and image-based generative AI models, encoder-decoder models, attention mechanisms, and transformers. It then covers topics like intro to image generation, generative AI applications, embeddings, attention mechanisms, transformers, vector databases, semantic search, prompt engineering, fine-tuning foundation models, orchestration frameworks, autonomous agents, bias and fairness, and recommended LLM application projects. The document recommends several hands-on exercises and lists upcoming bootcamp dates and locations for learning to build LLM applications.
Thought Leadership Session: Enterprise Semantics & Ontology, The Power of Und...Wim Laurier
Learn the 1-on-1 of Semantics & Ontology by international authorities. Explore how semantics and ontology is used as the underlying conceptual structure of an enterprise by transforming interoperability beyond existing boundaries. Understand the complex interdependencies of enterprise operations through semantics and ontology. Discover how the Global University Alliance researches, compares, analyzes and develops Best and LEADing Practices around Enterprise Semantics & Ontology.
Professor Simon Polovina
International authority and thought leader in Enterprise Semantics Sheffield Hallam University, United Kingdom
Head of Enterprise Semantics research and development at the Global University Alliance
Professor Wim Laurier
International authority and thought leader in Enterprise Ontology Université Saint-Louis, Bruxelles and Ghent University
Head of Enterprise Ontology research and development at the Global University Alliance
Semantische interoperabiliteit met behulp van een bedrijfsbrede taxonomieRichard Claassens CIPPE
Presentatie bij het paper : Semantische interoperabiliteit
met behulp van een bedrijfsbrede taxonomie;
Wat kunnen we leren van
IBM’s IFW Business Data Concepts Classification
Generation of Automatic Code using Design PatternsIRJET Journal
This document describes a tool that automatically generates code for implementing design patterns. The tool takes in basic application information from the user, such as class names, and generates all the code prescribed by the design pattern. It also incorporates an online version of the book "Design Patterns" to provide integrated reference documentation during the development process. The goal is to streamline the process of implementing design patterns by automating the lower-level coding tasks.
User experience issues -- Personalization vs. CustomizationVinay Mohanty
The difference between Personalization and Customization. Also explored are user experience issues with personalization. Case study of personalization features in GMail, Amazon, My Yahoo !
DESIGN AND DEVELOPMENT OF BUSINESS RULES MANAGEMENT SYSTEM (BRMS) USING ATLAN...ijcsit
The document describes the design and development of a Business Rules Management System (BRMS) using the ATL and Eclipse Sirius frameworks. It proposes a new "Target Ecore meta model" to improve the structure and management of business rules. The system allows business rules to be modeled and transformed from their current format into an object-oriented format using ATL model transformations. This provides improved modularity, scalability and extensibility of the rules compared to the original structure. A case study demonstrates transforming an example business rule from a software package based on the proposed approach.
ModelWriter Presentation International 01-07-2015Ferhat Erata
The project envisions an integrated authoring environment called "ModelWriter" for Technical Authors (such as Software or Systems Engineers etc.) which will combine a Semantic Word Processor (= the "Writer" part), looking like a usual word processor but capable to "understand" pieces of text and transparently create models of contents out of them; and a Knowledge Capture Tool (= the "Model" part), looking like familiar information modelling tools such as UML, BPMN, ReqIF, etc. ModelWriter will allow Technical Authors to freely move bi-directionally and interactively between text and model to enhance the quality (consistency and completeness) of the technical documents.
5 Reasons not to use Dita from a CCMS PerspectiveMarcus Kesseler
The document discusses some of the drawbacks of using DITA from the perspective of a large content management system (CCMS). It notes that DITA's coverage of core CCMS requirements is surprisingly small, addressing only 18% of requirements compared to 67% for a typical CCMS. It also argues that the evolution of the DITA standard is too slow given market demands. Additionally, it outlines how DITA deals with the proliferation of files as content is translated and new versions are created, noting this can result in many files versus a single topic accessed differently in a CCMS.
This document provides a 50-hour roadmap for building large language model (LLM) applications. It introduces key concepts like text-based and image-based generative AI models, encoder-decoder models, attention mechanisms, and transformers. It then covers topics like intro to image generation, generative AI applications, embeddings, attention mechanisms, transformers, vector databases, semantic search, prompt engineering, fine-tuning foundation models, orchestration frameworks, autonomous agents, bias and fairness, and recommended LLM application projects. The document recommends several hands-on exercises and lists upcoming bootcamp dates and locations for learning to build LLM applications.
This document provides an introduction to business modeling. It discusses that software includes more than just code and architecture, and includes all artifacts that contribute to a usable system. It notes that business process modeling notation (BPM) and the unified modeling language (UML) are examples of modeling languages used. The document focuses on domain models and requirements models. It provides an overview of how a domain model incorporates feature models, functional models, entity relationship diagrams, and business process models. It indicates that domain models can be used to understand dependencies and impacts of changes.
This document provides an overview and agenda for an LTMS 510 class on learning technology architecture, ePortfolios, flowcharting, and storyboarding. The class will include a review of topics, an ePortfolio activity, demonstrations of flowcharting and storyboarding tools, and readings about their importance in instructional design. Flowcharting and storyboarding help validate design, communicate workflows, and identify programming needs for asynchronous online courses.
Designing a Generative AI QnA solution with Proprietary Enterprise Business K...IRJET Journal
This document proposes a generative AI question answering solution that uses proprietary enterprise business knowledge and retrieval augmented generation. It would use OpenAI's APIs to generate embeddings of business knowledge and summarize responses while staying within the context of the enterprise data. The solution involves pre-processing data to generate embeddings which are stored in a vector database. Users could then query the system, which would use the embeddings to find similar results, summarize them using OpenAI, and return responses while moderating for inappropriate content. Performance was tested on a prototype using Python and an in-memory vector database.
Thought Leadership Session: Enterprise Semantics & Ontology, The Power of Und...Wim Laurier
Learn the 1-on-1 of Semantics & Ontology by international authorities. Explore how semantics and ontology is used as the underlying conceptual structure of an enterprise by transforming interoperability beyond existing boundaries. Understand the complex interdependencies of enterprise operations through semantics and ontology. Discover how the Global University Alliance researches, compares, analyzes and develops Best and LEADing Practices around Enterprise Semantics & Ontology.
Professor Simon Polovina
International authority and thought leader in Enterprise Semantics Sheffield Hallam University, United Kingdom
Head of Enterprise Semantics research and development at the Global University Alliance
Professor Wim Laurier
International authority and thought leader in Enterprise Ontology Université Saint-Louis, Bruxelles and Ghent University
Head of Enterprise Ontology research and development at the Global University Alliance
Precise Semantics Standards at OMG: Executing on the VisionEd Seidewitz
The document discusses standards for precise semantics in executable modeling developed by the Object Management Group (OMG). It summarizes Foundational UML (fUML), the Action Language for fUML (Alf), the Precise Semantics of Composite Structure (PSCS), and the Precise Semantics of State Machines (PSSM). It outlines potential future standards and provides resources for these existing and upcoming specifications.
Lecture 5 from the COSC 426 Graduate course on Augmented Reality. This lecture talks about AR development tools and interaction styles. Taught by Mark Billinghurst from the HIT Lab NZ at the University of Canterbury. August 9th 2013
The document discusses the vision, mission, program outcomes, program specific outcomes, and course outcomes of the CS8592 - Object Oriented Analysis and Design course. It describes the unified process model for software development, which includes inception, elaboration, construction, transition, and production phases. It also discusses UML diagrams as a modeling language for visualizing and designing software systems, listing some common diagram types like use case diagrams, class diagrams, and sequence diagrams.
Machine Learning Platformization & AutoML: Adopting ML at Scale in the Enterp...Ed Fernandez
Adoption of ML at scale in the Enterprise, Machine Learning Platforms & AutoML
[1] Definitions & Context
• Machine Learning Platforms, Definitions
• ML models & apps as first class assets in the Enterprise
• Workflow of an ML application
• ML Algorithms, overview
• Architecture of a ML platform
• Update on the Hype cycle for ML & predictive apps
[2] Adopting ML at Scale
• The Problem with Machine Learning - Scaling ML in the
Enterprise
• Technical Debt in ML systems
• How many models are too many models
• The need for ML platforms
[3] The Market for ML Platforms
• ML platform Market References - from early adopters to
mainstream
• Custom Build vs Buy: ROI & Technical Debt
• ML Platforms - Vendor Landscape
[4] Custom Built ML Platforms
• ML platform Market References - a closer look
Facebook - FBlearner
Uber - Michelangelo
AirBnB - BigHead
• ML Platformization Going Mainstream: The Great Enterprise Pivot
[5] From DevOps to MLOps
• DevOps <> ModelOps
• The ML platform driven Organization
• Leadership & Accountability (labour division)
[6] Automated ML - AutoML
• Scaling ML - Rapid Prototyping & AutoML:
• Definition, Rationale
• Vendor Comparison
• AutoML - OptiML: Use Cases
[7] Future Evolution for ML Platforms
Appendix I: Practical Recommendations for ML onboarding in the Enterprise
Appendix II: List of References & Additional Resources
The document discusses an approach for automatically generating software artifacts and models from natural language requirements documents during the analysis phase of software development.
It proposes a technique that first converts the natural language into a formal Semantic Business Vocabulary and Rules (SBVR) format. It then performs semantic and syntactic analysis on the SBVR to identify software artifacts like actors, use cases, classes, attributes, methods, and relationships. These artifacts are used to generate analysis models like use case diagrams and class diagrams. Finally, it produces XML Metadata Interchange (XMI) files to visualize the generated models in a UML modeling tool. The goal is to increase accuracy over existing tools by using the SBVR intermediate representation and generating multiple analysis models rather
The document discusses an approach for automatically generating software artifacts and models from natural language requirements documents during the analysis phase of software development.
It proposes a technique that first converts the natural language into a formal intermediate representation using Semantic Business Vocabulary and Rules (SBVR) to improve accuracy. It then identifies software artifacts like actors, use cases, classes, attributes, methods, and relationships.
The technique generates UML analysis models like use case and class diagrams. It also produces XML Metadata Interchange (XMI) files to visualize the generated models in UML modeling tools that support XMI import. The goal is to help automate parts of the analysis phase and address limitations of existing tools in terms of coverage and accuracy
Domain-driven design (DDD) is an approach that involves using a shared domain model and ubiquitous language to support complex domains and ensure alignment between software design and business needs. It emphasizes basing the software design on an evolving model that shares common concepts with domain experts. DDD uses patterns like entities, value objects, aggregates and repositories to structure the software around domain concepts and separate domain logic from data access and external interfaces.
MLSEV Virtual. ML Platformization and AutoML in the EnterpriseBigML, Inc
Machine Learning Platformization and AutoML in the Enterprise, by Ed Fernández, Board Director at Arowana International.
This presentation focuses on the adoption of Machine Learning platforms and AutoML in the Enterprise, the challenges around DevOps and MLOps, latest market trends, future evolution and the impact of AutoML for rapid prototyping of Machine Learning models.
*MLSEV 2020: Virtual Conference.
Analyzing Business Requirements in a Visible EnterpriseDafna Levy
The document discusses business requirements analysis and process modeling using Metastorm Provision BPA. It describes how BPA can be used to close gaps in business processes by providing a common language between business and IT. BPA captures requirements as software models to gain consensus and jointly analyze and design processes.
Basics of Software Architecture for .NET DevelopersDan Douglas
The document discusses the basics of software architecture for .NET developers. It defines software architecture as the structure and design of an application, including its components and how they are connected. A good architecture provides advantages like compatibility, extensibility, reliability and maintainability. The software architect must take implicit requirements into account, such as scaling and future needs, even if stakeholders are not aware of them. Architects should understand object oriented principles, design patterns, emerging technologies and focus on reusability.
This document discusses the role of architects in capability-based planning for the Department of Defense (DoD). It notes that DoD's capability value chain is missing a link between capability planning and development. The architect's role is to fill this gap by developing an architecture specification and engineerable requirements that can translate capability needs into systems that deliver capabilities. The document contrasts this role with platform-based planning of the past, where requirements and development focused more on individual platforms.
Are You an Accidental or Intentional Architect?iasaglobal
The first step in preparing for capability on demand is to set up for capacity on demand, but this can only occur after a CIO gets the IT house in order operationally. An IT organization that cannot manage operations effectively because it lacks understanding of costs relating to business performance and outcomes will have trouble evaluating the price-for-performance trade-offs offered by external suppliers.
Service Oriented & Model Driven ArchitecturesPankaj Saharan
The document discusses a seminar on combining Service-Oriented Architectures (SOA) and Model Driven Architectures (MDA). It first provides an overview of SOA and MDA individually, including their goals and characteristics. It then analyzes the similarities and differences between the two approaches when combining them. Some benefits are improved productivity and lower costs, while challenges include defining models and transformations between levels of abstraction. Overall, the document concludes that combining SOA with MDA's model-driven approach can provide benefits like business agility if key issues like semantics and metadata modeling are adequately addressed.
CASE tools and their effects on software qualityUtkarsh Agarwal
CASE tools can significantly improve software quality by automating tasks, reducing errors, and standardizing development processes. They provide functionality for data modeling, code generation, refactoring, documentation and more. While some aspects like requirements gathering require human input, overall CASE tools improve design, catch issues early, and allow developers to focus on other important work. Proper use of modeling languages and automation can dramatically enhance software quality across all stages of development.
This document provides an introduction to business modeling. It discusses that software includes more than just code and architecture, and includes all artifacts that contribute to a usable system. It notes that business process modeling notation (BPM) and the unified modeling language (UML) are examples of modeling languages used. The document focuses on domain models and requirements models. It provides an overview of how a domain model incorporates feature models, functional models, entity relationship diagrams, and business process models. It indicates that domain models can be used to understand dependencies and impacts of changes.
This document provides an overview and agenda for an LTMS 510 class on learning technology architecture, ePortfolios, flowcharting, and storyboarding. The class will include a review of topics, an ePortfolio activity, demonstrations of flowcharting and storyboarding tools, and readings about their importance in instructional design. Flowcharting and storyboarding help validate design, communicate workflows, and identify programming needs for asynchronous online courses.
Designing a Generative AI QnA solution with Proprietary Enterprise Business K...IRJET Journal
This document proposes a generative AI question answering solution that uses proprietary enterprise business knowledge and retrieval augmented generation. It would use OpenAI's APIs to generate embeddings of business knowledge and summarize responses while staying within the context of the enterprise data. The solution involves pre-processing data to generate embeddings which are stored in a vector database. Users could then query the system, which would use the embeddings to find similar results, summarize them using OpenAI, and return responses while moderating for inappropriate content. Performance was tested on a prototype using Python and an in-memory vector database.
Thought Leadership Session: Enterprise Semantics & Ontology, The Power of Und...Wim Laurier
Learn the 1-on-1 of Semantics & Ontology by international authorities. Explore how semantics and ontology is used as the underlying conceptual structure of an enterprise by transforming interoperability beyond existing boundaries. Understand the complex interdependencies of enterprise operations through semantics and ontology. Discover how the Global University Alliance researches, compares, analyzes and develops Best and LEADing Practices around Enterprise Semantics & Ontology.
Professor Simon Polovina
International authority and thought leader in Enterprise Semantics Sheffield Hallam University, United Kingdom
Head of Enterprise Semantics research and development at the Global University Alliance
Professor Wim Laurier
International authority and thought leader in Enterprise Ontology Université Saint-Louis, Bruxelles and Ghent University
Head of Enterprise Ontology research and development at the Global University Alliance
Precise Semantics Standards at OMG: Executing on the VisionEd Seidewitz
The document discusses standards for precise semantics in executable modeling developed by the Object Management Group (OMG). It summarizes Foundational UML (fUML), the Action Language for fUML (Alf), the Precise Semantics of Composite Structure (PSCS), and the Precise Semantics of State Machines (PSSM). It outlines potential future standards and provides resources for these existing and upcoming specifications.
Lecture 5 from the COSC 426 Graduate course on Augmented Reality. This lecture talks about AR development tools and interaction styles. Taught by Mark Billinghurst from the HIT Lab NZ at the University of Canterbury. August 9th 2013
The document discusses the vision, mission, program outcomes, program specific outcomes, and course outcomes of the CS8592 - Object Oriented Analysis and Design course. It describes the unified process model for software development, which includes inception, elaboration, construction, transition, and production phases. It also discusses UML diagrams as a modeling language for visualizing and designing software systems, listing some common diagram types like use case diagrams, class diagrams, and sequence diagrams.
Machine Learning Platformization & AutoML: Adopting ML at Scale in the Enterp...Ed Fernandez
Adoption of ML at scale in the Enterprise, Machine Learning Platforms & AutoML
[1] Definitions & Context
• Machine Learning Platforms, Definitions
• ML models & apps as first class assets in the Enterprise
• Workflow of an ML application
• ML Algorithms, overview
• Architecture of a ML platform
• Update on the Hype cycle for ML & predictive apps
[2] Adopting ML at Scale
• The Problem with Machine Learning - Scaling ML in the
Enterprise
• Technical Debt in ML systems
• How many models are too many models
• The need for ML platforms
[3] The Market for ML Platforms
• ML platform Market References - from early adopters to
mainstream
• Custom Build vs Buy: ROI & Technical Debt
• ML Platforms - Vendor Landscape
[4] Custom Built ML Platforms
• ML platform Market References - a closer look
Facebook - FBlearner
Uber - Michelangelo
AirBnB - BigHead
• ML Platformization Going Mainstream: The Great Enterprise Pivot
[5] From DevOps to MLOps
• DevOps <> ModelOps
• The ML platform driven Organization
• Leadership & Accountability (labour division)
[6] Automated ML - AutoML
• Scaling ML - Rapid Prototyping & AutoML:
• Definition, Rationale
• Vendor Comparison
• AutoML - OptiML: Use Cases
[7] Future Evolution for ML Platforms
Appendix I: Practical Recommendations for ML onboarding in the Enterprise
Appendix II: List of References & Additional Resources
The document discusses an approach for automatically generating software artifacts and models from natural language requirements documents during the analysis phase of software development.
It proposes a technique that first converts the natural language into a formal Semantic Business Vocabulary and Rules (SBVR) format. It then performs semantic and syntactic analysis on the SBVR to identify software artifacts like actors, use cases, classes, attributes, methods, and relationships. These artifacts are used to generate analysis models like use case diagrams and class diagrams. Finally, it produces XML Metadata Interchange (XMI) files to visualize the generated models in a UML modeling tool. The goal is to increase accuracy over existing tools by using the SBVR intermediate representation and generating multiple analysis models rather
The document discusses an approach for automatically generating software artifacts and models from natural language requirements documents during the analysis phase of software development.
It proposes a technique that first converts the natural language into a formal intermediate representation using Semantic Business Vocabulary and Rules (SBVR) to improve accuracy. It then identifies software artifacts like actors, use cases, classes, attributes, methods, and relationships.
The technique generates UML analysis models like use case and class diagrams. It also produces XML Metadata Interchange (XMI) files to visualize the generated models in UML modeling tools that support XMI import. The goal is to help automate parts of the analysis phase and address limitations of existing tools in terms of coverage and accuracy
Domain-driven design (DDD) is an approach that involves using a shared domain model and ubiquitous language to support complex domains and ensure alignment between software design and business needs. It emphasizes basing the software design on an evolving model that shares common concepts with domain experts. DDD uses patterns like entities, value objects, aggregates and repositories to structure the software around domain concepts and separate domain logic from data access and external interfaces.
MLSEV Virtual. ML Platformization and AutoML in the EnterpriseBigML, Inc
Machine Learning Platformization and AutoML in the Enterprise, by Ed Fernández, Board Director at Arowana International.
This presentation focuses on the adoption of Machine Learning platforms and AutoML in the Enterprise, the challenges around DevOps and MLOps, latest market trends, future evolution and the impact of AutoML for rapid prototyping of Machine Learning models.
*MLSEV 2020: Virtual Conference.
Analyzing Business Requirements in a Visible EnterpriseDafna Levy
The document discusses business requirements analysis and process modeling using Metastorm Provision BPA. It describes how BPA can be used to close gaps in business processes by providing a common language between business and IT. BPA captures requirements as software models to gain consensus and jointly analyze and design processes.
Basics of Software Architecture for .NET DevelopersDan Douglas
The document discusses the basics of software architecture for .NET developers. It defines software architecture as the structure and design of an application, including its components and how they are connected. A good architecture provides advantages like compatibility, extensibility, reliability and maintainability. The software architect must take implicit requirements into account, such as scaling and future needs, even if stakeholders are not aware of them. Architects should understand object oriented principles, design patterns, emerging technologies and focus on reusability.
This document discusses the role of architects in capability-based planning for the Department of Defense (DoD). It notes that DoD's capability value chain is missing a link between capability planning and development. The architect's role is to fill this gap by developing an architecture specification and engineerable requirements that can translate capability needs into systems that deliver capabilities. The document contrasts this role with platform-based planning of the past, where requirements and development focused more on individual platforms.
Are You an Accidental or Intentional Architect?iasaglobal
The first step in preparing for capability on demand is to set up for capacity on demand, but this can only occur after a CIO gets the IT house in order operationally. An IT organization that cannot manage operations effectively because it lacks understanding of costs relating to business performance and outcomes will have trouble evaluating the price-for-performance trade-offs offered by external suppliers.
Service Oriented & Model Driven ArchitecturesPankaj Saharan
The document discusses a seminar on combining Service-Oriented Architectures (SOA) and Model Driven Architectures (MDA). It first provides an overview of SOA and MDA individually, including their goals and characteristics. It then analyzes the similarities and differences between the two approaches when combining them. Some benefits are improved productivity and lower costs, while challenges include defining models and transformations between levels of abstraction. Overall, the document concludes that combining SOA with MDA's model-driven approach can provide benefits like business agility if key issues like semantics and metadata modeling are adequately addressed.
CASE tools and their effects on software qualityUtkarsh Agarwal
CASE tools can significantly improve software quality by automating tasks, reducing errors, and standardizing development processes. They provide functionality for data modeling, code generation, refactoring, documentation and more. While some aspects like requirements gathering require human input, overall CASE tools improve design, catch issues early, and allow developers to focus on other important work. Proper use of modeling languages and automation can dramatically enhance software quality across all stages of development.
This document provides an introduction to a certification preparation course for the PMI Agile Certified Practitioner (PMI-ACP) exam. It outlines the course agenda which covers topics like the PMI-ACP exam details, eligibility requirements, exam information and blueprint. It also compares agile project management to traditional project management. The course contains 16 lessons covering agile tools, techniques and knowledge/skill areas to help students understand the fundamentals required to attempt the PMI-ACP certification exam.
This document provides an introduction to the PMI-ACP certification preparation course. It outlines the agenda which includes details on the PMI-ACP certification, eligibility requirements, exam information, and an overview of the course lessons and structure. The webinar organization and pricing options are also presented. The goal of the course is to help participants prepare for the PMI-ACP exam through a series of interactive webinar lessons over 10 weeks.
Ears and Eyes on Demand (E&EoD) is a service that helps visually and hearing impaired people in public, business, and private settings by lending them eyes, ears, and sign language interpreters through mobile devices. E&EoD is seeking €37.5-50k in funding from Finodex or FI-C3 to launch the service in Germany, Austria, and Switzerland in 2016-2018. It projects payback within 3.4 years with a 71% internal rate of return and €372k net present value if supported and rolled out across the EU.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Properties of Fluids, Fluid Statics, Pressure MeasurementIndrajeet sahu
Properties of Fluids: Density, viscosity, surface tension, compressibility, and specific gravity define fluid behavior.
Fluid Statics: Studies pressure, hydrostatic pressure, buoyancy, and fluid forces on surfaces.
Pressure at a Point: In a static fluid, the pressure at any point is the same in all directions. This is known as Pascal's principle. The pressure increases with depth due to the weight of the fluid above.
Hydrostatic Pressure: The pressure exerted by a fluid at rest due to the force of gravity. It can be calculated using the formula P=ρghP=ρgh, where PP is the pressure, ρρ is the fluid density, gg is the acceleration due to gravity, and hh is the height of the fluid column above the point in question.
Buoyancy: The upward force exerted by a fluid on a submerged or partially submerged object. This force is equal to the weight of the fluid displaced by the object, as described by Archimedes' principle. Buoyancy explains why objects float or sink in fluids.
Fluid Pressure on Surfaces: The analysis of pressure forces on surfaces submerged in fluids. This includes calculating the total force and the center of pressure, which is the point where the resultant pressure force acts.
Pressure Measurement: Manometers, barometers, pressure gauges, and differential pressure transducers measure fluid pressure.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...DharmaBanothu
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
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Determination of Equivalent Circuit parameters and performance characteristic...pvpriya2
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
This study Examines the Effectiveness of Talent Procurement through the Imple...DharmaBanothu
In the world with high technology and fast
forward mindset recruiters are walking/showing interest
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through many online platforms like Linkedin, Naukri,
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Recruitment has gone through next level by using
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Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
1. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 1
Understand your Business Domain
Systems design using Metamodels
31.Oct 2014, Frank H. Ritz, ritz@ritzeng.com
2. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 2
Agenda
Foreword
What are Metamodels
What are sysML/UML Metamodels
How they are made
Why they are important
3. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 4
The Trainer
Frank H. Ritz, 57
Diploma, certifications
Electrical Engineering
Electronics, HF Communication
RUP / CE
CPRE-FL
OUCP-F
HSPTP
PMI-ACP®
Methodology & Technology
C++/Java mission critical apps
7 companies founded (1988-now)
1 Son
Sailor/Skipper, Skier, Photograph
Electrical
Engineer
Experienced
in computer
science
Requirements
Engineer
Project manager
Business consultant
Methodology & value
driven
Do the right things
right = sustainable
4. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 5
What I do when I start a business (new or change of existing)
You have e.g. already done:
Vision
Targets
Roadmap
Ideas, Mindmaps, Business Canvas, Boards with notes, etc.
You have typically not
Structure
Model behind this business
Glossary
… many other structured, reusable information (requirements, models, visuals)
I show you today
to structure
to define
to specify
d Models of
your
business
think about:
how to manage your
products and specs
more precise
5. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 7
What is a Model, what is a Metamodel
Model .vs. Metamodel
A metamodel or surrogate model is a model of a model, i.e. a simplif ied model of an actual model of a
circuit, system, or software like entity.
Metamodel can be a mathematical relation or algorithm representing input and output relations.
A model is an abstraction of phenomena in the real world; a metamodel is yet another abstraction,
highlighting properties of the model itself.
A model conforms to its metamodel in the way that a computer program conforms to the grammar of the
programming language in which it is written.
(Wikipedia EN)
Metamodel = Foundation ?
6. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 8
A small example: desk model and chair model
Desk
legs
tabletop
design attributes
Chair
legs
seat
back
design attributes
7. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 9
Templates, Design Rules: Example of a Chair design
Chair has
legs
seat
back
constraints
legs
back is also leg
Design, Rules
8. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 10
Templates, Design Rules: Example of a Desk design
Desk has
legs
tabletop
constraints
legs
Design, Rules
9. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 11
What is the common Metamodel of Desk and Chair
Desk
legs
seat
back
constraints
legs
back is also leg
Design, Rules
Chair
legs
seat
back
constraints
legs
back is also leg
Design, Rules
Common Model: Desk & Chair
10. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 12
Metamodel = Foundation for a model,
or in general: how to perceive and document Requirement essence
Traditional views of knowledge are
beeing challenged. Views are not
based on real objects behavior.
An emerging “constrictivist”
perspective, suggests that to a large
degree we construct reality (by
George Kelly).
Implementation of complex Case –
Management
Modern views of knowledge are
formal, flexible, testable, extendable,
enhanceable, verifyable, inheritable
Find the essence and look behind
the things (meta behavior / steering)
The definition (or language) that
defines about a metadefinition (or
metalanguage), is the accompanying
object definition (or language)
Design
Pattern
Design
Pattern
11. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 13
This is a Meta Pattern
It's a model for a framework
describes the Elements of
Requirements Engineering
it guides which elements to
be used and which
semantics exists (min, max).
structures Requirements
Engineering on User
Acceptance level
More details enrich only
semantics of relationsships
or
element attributes which are
relevant
It is not a metamodel
not
complete
12. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 15
What is “meta” modeling, why we are doing that
We model
to provide a structure for problem solving
to express multiple solutions graphically with specification
to furnish abstractions to manage complexity
to reduce time-to-market, costs and risks for business solving solutions
to enable graphics power, reveals text or data (s.a. RUP)
We model with metamodel
to structure complex models
to steer modeling and model construction
to define an abstract syntax and
a static semantic for models
to define a model as an instance of a metamodel
13. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 16
Basics for modeling your business domain
MOF (Meta Object Facility)
MOF defines the language for defining
meta-models
MOF concepts are meta-class, meta-
attribute, meta-association, etc.
OCL (Object Constraint Language)
OCL structures, expresses constraints
like invariant, pre-/post- conditions
UML / sysML (Unified / System
Modeling Language)
graphical language to specify, to
visualize, to construct, to document
artifacts of systems (soft-/hardware)
UML/sysML metamodel is an instance
of the MOF metamodel
14. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 17
Example:
Passenger Ticket
Excerpt part of highest
Element level of MOF
Class
Operation
Association
Package
Constraints (base for OCL)
Attribute
Attribute
15. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 18
Metamodel and the Vee-Model
CIM - Requirements Level Metamodel
PIM metamodel is the design language for
a PIM design model
PSM metamodel is the design language
for a PSM design model and implements
the transformation of PIM (that is the
software model for code generation)
16. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 21
Domainmodels are Metamodel
Domain Specific Language (DSL)
encapsulate complexity
lesser models
simpler understanding
Templates, Domains of a business
Feature- and Requirement- models
Process- and Behavior- models
Analysis- and Design- models
Machine readable, reusable
Business Glossary of Objects,
Constraints, Relationships
abstract syntax = easy to understand
static semantic = easy to guide
graphical representation = easy to use
Implicit validation options against
Models (of M1 level, e.g. for testing)
17. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 22
Business Domain Models – Build a Payment System containing
Business Domain Objects and the Pricing Template
18. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 24
Business Object Modeling - Business Domain Model
Business Object Modeling
technique to represent things of
significance to an enterprise
is a complex technique
It requires a methodology of
abstraction
A good Business Object Model
creates and establishes a common
understanding of business semantics
between all involved parties.
The resulting common "language"
and long term understandable
documentation provide the
"organizational memory" of an
enterprise.
A Business Object represent the
abstraction of real life objects, a
machine, a value, a person, a place,
a process or a concept.
A Business Object Model is a
metamodel that contains only
abstractions of objectsPhysical Model
Logical Model
Conceptual Model
Domain Model
Enterprise Model
19. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 26
UML/sysML Elements
which we
use for Metamodels I
Models are packaged, so we need
to use Package diagrams
Package diagrams are used to reflect
the organization of packages and their
elements, and provide a visualization
of their corresponding namespaces.
Partitioning
Big Picture
Namespace
20. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 27
UML/sysML Elements
which we use
for Metamodels II
Class Diagrams capture logical
structure of things
Static model, describing what
exists, what attributes and their
behavior (operations).
Relationships between classes
and interfaces.
Generalizations, aggregations,
associations
Reflecting inheritance, composition
or usage, and connections,
respectively.
Classes
Abstractions (Meta Models)
Visibility: public, protected, private
Stereotypes, Tagged Values
21. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 28
Example: GoF Design Pattern Metamodel: Packages and Classes
→ Implementation
in Backup
→ Complete in Backup
22. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 29
GOF Design
Pattern
Packages
23. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 33
24. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 34
Steering Example
Check Embargo
based on EAM-MM
What belongs to a
good interface
description of a
component
How must this
modeled
Which are relevant
Domain Objects
25. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 35
Effects in steering with Metamodels
Metamodel / Profile is a
Framework that limits
Elements you use
Modeling technique
Framework that concretes
Abstraction level
Focus on needed things
Self control in the endless space of
modeling
Framework that enables
Verify models against Metamodel
Effectiveness doing the right things
Efficiency doing the things right
Traceability to understand parentage
Lookahead modeling. Sometimes
required so as to reduce overall risk
Why is steering needed ?
Modeling without feedback is not worth
the money, because it is not
understood or accepted by the
organization
Metamodel provides Feedback from the
beginning
Reduce complexity
Provide ground for better decisions
Agile methodology, esp. Agile
Modeling is focused on “just barely
good enough (JBGE)“ artifacts
Metamodeling can help to understand
“just barely good enough”
Limits lookahead modeling
26. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 37
Business Domain Models: Example
Service, Product, Tariff – Priceable Pricing Template
Service = Payments
Product = SEPA
PriceComponent = inside EU
Tariff = Flat = 0.00 CHF
BusinessDimension =
RegularCustomer
Priceable is the application interface
Simple structure of a Service,
Product, Tariff management
Business Dimension manages the
relation between Product and Price
component
Flexibility to steer Customers prices
Flexibility to manage exceptions,
marketing events and else
27. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 39
ICT Enterprise Architecture Management (EAM): Project Effect on
“project changes product” pattern I
Understand the effect of the
associated elements for a target
(from another diagram next slide)
Calculate target KPI for all
associated elements
e.g. calculate the effect of a project on
to the product, the organization unit,
process support, the software system
28. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 40
ICT Enterprise Architecture Management (EAM): Project Effect on
“project changes product” pattern II
29. Understand your Business Domain (Metamodels) 31.Oct 2014, Frank H. Ritz, ritz@ritzeng,com Page 41