This guide will help you get started with Innoslate, the full lifecycle systems engineering tool. It will take you through developing your requirements, creating model, simulating your models, and keeping traceability through the entire project.
This document provides an overview of design patterns including their definition, utility, essential elements, and examples. It discusses creational patterns like singleton, factory, and builder. Structural patterns covered include adapter, proxy, and composite. Behavioral patterns like command and iterator are also introduced. The document is presented as a slideshow by Dr. Lilia Sfaxi on design patterns for software engineering.
The document discusses software architecture design. It defines software architecture as the structure of components, relationships between components, and properties of components. An architectural design model can be applied to other systems and represents predictable ways to describe architecture. The architecture represents a system and enables analysis of effectiveness in meeting requirements and reducing risks. Key aspects of architectural design include communication between stakeholders, controlling complexity, consistency, reducing risks, and enabling reuse. Common architectural styles discussed include data-centered, data flow, call-and-return, object-oriented, and layered architectures.
Formal verification refers to mathematical techniques for specifying, designing, and verifying software and hardware systems. It involves proving or disproving the correctness of algorithms in a system with respect to a formal specification or property using formal methods of mathematics. Formal verification techniques include manual proofs, semi-automatic theorem proving, and automatic algorithms that take a model and property to determine if the model satisfies the property. Formal verification is commonly used for safety-critical systems like embedded systems to help ensure correctness. Tools like VC formal, VC LP, and Spyglass can be used to formally verify designs early in development without complex test benches or stimulus.
MBSE with Arcadia method step-by-step Physical Architecture.pdfHelder Castro
The objective of the Physical Architecture in defining the “real” concrete components that comprise the system. To start the Physical level based on the Logical level, Capella proposes transitions similar to those that we used when we went from the Operational Analysis to the System Analysis, then from the System Analysis to the Logical Architecture. Thus, it can be created as many Physical Functions as Logical Functions, by also keeping the Functional Exchanges and Functional Chains.
Software Project Management: Risk ManagementMinhas Kamal
Software Project Management: ResearchColab- Risk Management (Document-7)
Presented in 4th year of Bachelor of Science in Software Engineering (BSSE) course at Institute of Information Technology, University of Dhaka (IIT, DU).
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, information hiding, and functional independence. It explains that software design is an iterative process that transforms requirements into a blueprint for constructing the software through design models, data structures, system architecture, interfaces, and components. Good software design exhibits qualities like being bug-free, suitable for its intended purpose, and a pleasurable user experience.
Effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input.
Effort estimation is essential for many people and different departments in an organization.
This document provides an overview of design patterns including their definition, utility, essential elements, and examples. It discusses creational patterns like singleton, factory, and builder. Structural patterns covered include adapter, proxy, and composite. Behavioral patterns like command and iterator are also introduced. The document is presented as a slideshow by Dr. Lilia Sfaxi on design patterns for software engineering.
The document discusses software architecture design. It defines software architecture as the structure of components, relationships between components, and properties of components. An architectural design model can be applied to other systems and represents predictable ways to describe architecture. The architecture represents a system and enables analysis of effectiveness in meeting requirements and reducing risks. Key aspects of architectural design include communication between stakeholders, controlling complexity, consistency, reducing risks, and enabling reuse. Common architectural styles discussed include data-centered, data flow, call-and-return, object-oriented, and layered architectures.
Formal verification refers to mathematical techniques for specifying, designing, and verifying software and hardware systems. It involves proving or disproving the correctness of algorithms in a system with respect to a formal specification or property using formal methods of mathematics. Formal verification techniques include manual proofs, semi-automatic theorem proving, and automatic algorithms that take a model and property to determine if the model satisfies the property. Formal verification is commonly used for safety-critical systems like embedded systems to help ensure correctness. Tools like VC formal, VC LP, and Spyglass can be used to formally verify designs early in development without complex test benches or stimulus.
MBSE with Arcadia method step-by-step Physical Architecture.pdfHelder Castro
The objective of the Physical Architecture in defining the “real” concrete components that comprise the system. To start the Physical level based on the Logical level, Capella proposes transitions similar to those that we used when we went from the Operational Analysis to the System Analysis, then from the System Analysis to the Logical Architecture. Thus, it can be created as many Physical Functions as Logical Functions, by also keeping the Functional Exchanges and Functional Chains.
Software Project Management: Risk ManagementMinhas Kamal
Software Project Management: ResearchColab- Risk Management (Document-7)
Presented in 4th year of Bachelor of Science in Software Engineering (BSSE) course at Institute of Information Technology, University of Dhaka (IIT, DU).
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, information hiding, and functional independence. It explains that software design is an iterative process that transforms requirements into a blueprint for constructing the software through design models, data structures, system architecture, interfaces, and components. Good software design exhibits qualities like being bug-free, suitable for its intended purpose, and a pleasurable user experience.
Effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input.
Effort estimation is essential for many people and different departments in an organization.
SE2018_Lec 18_ Design Principles and Design PatternsAmr E. Mohamed
The document discusses software design patterns. It defines design patterns as general and reusable solutions to commonly occurring problems in software design. It describes the key parts of a design pattern as the pattern name, the problem it addresses, the solution it provides, and the consequences of applying the pattern. The document also outlines some of the benefits of using design patterns such as codifying good design practices and providing a common vocabulary for designers.
The document discusses the four phases of the software development lifecycle: inception, elaboration, construction, and transition. It provides details on the objectives and essential activities of each phase. The inception phase focuses on establishing scope and demonstrating architecture. The elaboration phase builds prototypes and baselines requirements, architecture, and plans. Construction integrates components and tests features. Transition deploys the software to end users through activities like beta testing and training. The document also discusses engineering artifact sets for managing development, including management, requirements, design, implementation, and deployment artifacts.
This document provides an introduction to computer graphics. It discusses that computer graphics deals with creating images using hardware, software, and applications. It describes the basic graphics system including input devices, the output device, and the frame buffer. It then discusses the display processor and how it stores graphics in a display list. Finally, it outlines several applications of computer graphics including computer-aided design, presentation graphics, computer art, entertainment, education and training, visualization, image processing, and graphical user interfaces.
This document discusses metrics that can be used to measure software processes and projects. It begins by defining software metrics and explaining that they provide quantitative measures that offer insight for improving processes and projects. It then distinguishes between metrics for the software process domain and project domain. Process metrics are collected across multiple projects for strategic decisions, while project metrics enable tactical project management. The document outlines various metric types, including size-based metrics using lines of code or function points, quality metrics, and metrics for defect removal efficiency. It emphasizes integrating metrics into the software process through establishing a baseline, collecting data, and providing feedback to facilitate continuous process improvement.
The document provides an overview of the Systems Development Life Cycle (SDLC). It describes the main phases of SDLC as feasibility analysis, requirement analysis and specification, design, coding, testing, and maintenance. For each phase, it outlines the key activities and objectives. It also discusses different approaches to SDLC, including waterfall, prototyping, iterative, and object-oriented approaches.
The article will explore the Arcadia Operational Analysis layer to capture stakeholder (e.g., users, environment, other systems) and business needs, a reasoned step-by-step activities and artefacts (i.e., diagrams) that can be produced to help during the stakeholders elicitation process helping to explore needs and identify gaps in the analysis; the full MBSE with Arcadia step-by-step is not described in this article, but it has extended to all Arcadia layers (i.e., System Analysis, Logical and Physical Architecture) and it can be used in projects for defining and guiding in the initial project activities and artefacts to be produced from the model.
The Operational Analysis as mentioned in the previous article, aims at capturing what the user of the system needs to accomplish, hence, the Operational Analysis normally starts by identifying who the users (i.e., Operational Entities and/or Operational Actors) of the future system are, and any containment relationship between them.
The document discusses different types of software review techniques, including informal reviews, formal technical reviews, and sample-driven reviews. It provides details on the goals, participants, and processes involved in formal technical reviews like walkthroughs and inspections. Metrics for evaluating the effectiveness of reviews are also presented, such as defects found per hour of preparation or inspection time. Overall, the document provides an overview of best practices and considerations for conducting effective software reviews.
The document discusses various software process models including prescriptive models like waterfall model and incremental process model. It also covers evolutionary models like prototyping and spiral process model. Specialized models covered are component based development, formal methods model, aspect oriented development and unified process model. The key highlights are that different models are suited for different situations based on project needs and each model has advantages and disadvantages to consider.
This document discusses software effort estimation techniques. It begins by explaining the importance of accurate estimation for project success and the difficulties involved due to the complex nature of software development. It then covers various stages where estimates are produced and problems that can arise from over- or under-estimating. The document proceeds to examine specific techniques like bottom-up and top-down estimation as well as analogy-based estimation, and provides examples of each. Historical data, measuring work, and identifying past similar projects are presented as important bases for producing reliable estimates.
This document provides an introduction to software engineering. It defines software as a set of instructions that provide desired functions when executed. Engineering is defined as applying scientific methods to construct, operate, modify and maintain useful devices and systems. Software engineering then applies technologies and practices from computer science, project management, and other fields to the design, development and documentation of software. Some key characteristics of software discussed are that it is developed rather than manufactured, can be easily modified and reproduced, and does not wear out. The document also outlines various types of software applications and discusses software engineering as a layered technology with foundations in quality focus, processes, methods and tools. Finally, it addresses some common software myths from management, customer, and practitioner perspectives.
The document discusses 7 top-level workflows for software project management: management, environment, requirements, design, implementation, assessment, and deployment. It also outlines 4 key principles: having an architecture-first approach, using an iterative life-cycle process, practicing roundtrip engineering, and taking a demonstration-based approach. Iterations consist of sequential activities from the various workflows in different proportions depending on the life cycle phase.
RMMM-Risk Management,Mitigation and Monitoring.Aparna Nayak
This document outlines a risk management, monitoring, and mitigation (RMMM) plan involving 3 key steps: risk avoidance, risk monitoring, and risk management and planning. It discusses monitoring factors like staff turnover that could impact costs and schedules. The plan includes developing strategies to reduce risks, monitoring risks, and having backups if risks are not mitigated. A Risk Information Sheet is used to document all risk analysis work and contains details about identified risks, mitigation plans, current status, and responsibilities.
Understand the concept of DevOps by employing DevOps Strategy Roadmap Lifecycle PowerPoint Presentation Slides Complete Deck. Describe how DevOps is different from traditional IT with these content-ready PPT themes. The slides also help to discuss DevOps use cases in the business, roadmap, and its lifecycle. Explain the roles, responsibilities, and skills of DevOps engineers by utilizing this visually appealing slide deck. Demonstrate DevOp roadmap for implementation in the organization with the help of a thoroughly researched PPT slideshow. Describe the characteristics of cloud computing, its benefits, and risks with the aid of this PPT layout. Utilize this easy-to-use DevOps transformation strategy PowerPoint slide deck to showcase the difference between cloud and traditional data centers. This ready-to-use PowerPoint layout also discusses the roadmap to integrate cloud computing in business. Highlight the usages of cloud computing and deployment models with the help of visual attention-grabbing DevOps implementation roadmap PowerPoint slides. https://bit.ly/3eFxYYr
Quality Attributes In Software Architecture & Design PatternsGatte Ravindranath
Quality Attributes Topic from Software Architecture $ Design patterns in the relation to software product or any engineering architecture development process needs required by an architect.
A document discusses various software estimation techniques including function point analysis, COCOMO models, and cost drivers. Function point analysis breaks a system into functional components like inputs, outputs, inquiries and files that are assigned complexity weights and counts. COCOMO models like COCOMO I and COCOMO II estimate effort using size of the project and cost multipliers related to attributes of the product, computer system, personnel and project. Cost drivers help assess these multipliers to refine effort estimates.
The document discusses various architectural tactics that can be used to achieve different qualities like modifiability, testability, usability, availability, and performance. It defines tactics as design decisions that influence how a system responds to stimuli related to a quality attribute. For each quality, it outlines specific tactics and how they work. For example, for modifiability it discusses tactics like localizing modifications, preventing ripple effects, and deferring binding time. For testability, it covers input/output and internal monitoring tactics.
The document discusses key concepts in software design including:
- The main activities in software design are data design, architectural design, procedural design, and sometimes interface design. Preliminary design transforms requirements into architecture while detail design refines the architecture.
- Data design develops data structures to represent information from analysis. Architectural design defines program structure and interfaces. Procedural design represents structural components procedurally using notations like flowcharts.
- Other concepts discussed include modularity, abstraction, software architecture, control hierarchy, data structures, and information hiding. Modular design, abstraction and information hiding help manage complexity. Software architecture and control hierarchy define program organization.
The document discusses software measurement and metrics. It defines software measurement as quantifying attributes of software products and processes. Metrics are used to measure software quality levels. There are different types of metrics including product, process, and project metrics. Common software metrics include lines of code, function points, and complexity measures. Metrics should be quantitative, understandable, repeatable, and economical to compute.
System Models in Software Engineering SE7koolkampus
The document discusses various types of system models used in requirements engineering including context models, behavioral models, data models, object models, and how CASE workbenches support system modeling. It describes behavioral models like data flow diagrams and state machine models, data models like entity-relationship diagrams, and object models using the Unified Modeling Language. CASE tools can support modeling through features like diagram editors, repositories, and code generation.
This webinar is going to cover what is a digital twin and how all stakeholders can benefit from their functionality. You will learn how model-based systems engineering enables digital engineering. Your host will discuss use cases, a realistic look at digital engineering and digital twins, and how you can use Innoslate to get started.
The Agenda
Here's what we're covering.
What is a Digital Twin
Benefits of Digital Twin
The Digital Engineering Path Enabled by MBSE
AR + MBSE Software
A More Realistic Digital Twin
Getting You Started with Digital Twins
Question Answer Session
SE2018_Lec 18_ Design Principles and Design PatternsAmr E. Mohamed
The document discusses software design patterns. It defines design patterns as general and reusable solutions to commonly occurring problems in software design. It describes the key parts of a design pattern as the pattern name, the problem it addresses, the solution it provides, and the consequences of applying the pattern. The document also outlines some of the benefits of using design patterns such as codifying good design practices and providing a common vocabulary for designers.
The document discusses the four phases of the software development lifecycle: inception, elaboration, construction, and transition. It provides details on the objectives and essential activities of each phase. The inception phase focuses on establishing scope and demonstrating architecture. The elaboration phase builds prototypes and baselines requirements, architecture, and plans. Construction integrates components and tests features. Transition deploys the software to end users through activities like beta testing and training. The document also discusses engineering artifact sets for managing development, including management, requirements, design, implementation, and deployment artifacts.
This document provides an introduction to computer graphics. It discusses that computer graphics deals with creating images using hardware, software, and applications. It describes the basic graphics system including input devices, the output device, and the frame buffer. It then discusses the display processor and how it stores graphics in a display list. Finally, it outlines several applications of computer graphics including computer-aided design, presentation graphics, computer art, entertainment, education and training, visualization, image processing, and graphical user interfaces.
This document discusses metrics that can be used to measure software processes and projects. It begins by defining software metrics and explaining that they provide quantitative measures that offer insight for improving processes and projects. It then distinguishes between metrics for the software process domain and project domain. Process metrics are collected across multiple projects for strategic decisions, while project metrics enable tactical project management. The document outlines various metric types, including size-based metrics using lines of code or function points, quality metrics, and metrics for defect removal efficiency. It emphasizes integrating metrics into the software process through establishing a baseline, collecting data, and providing feedback to facilitate continuous process improvement.
The document provides an overview of the Systems Development Life Cycle (SDLC). It describes the main phases of SDLC as feasibility analysis, requirement analysis and specification, design, coding, testing, and maintenance. For each phase, it outlines the key activities and objectives. It also discusses different approaches to SDLC, including waterfall, prototyping, iterative, and object-oriented approaches.
The article will explore the Arcadia Operational Analysis layer to capture stakeholder (e.g., users, environment, other systems) and business needs, a reasoned step-by-step activities and artefacts (i.e., diagrams) that can be produced to help during the stakeholders elicitation process helping to explore needs and identify gaps in the analysis; the full MBSE with Arcadia step-by-step is not described in this article, but it has extended to all Arcadia layers (i.e., System Analysis, Logical and Physical Architecture) and it can be used in projects for defining and guiding in the initial project activities and artefacts to be produced from the model.
The Operational Analysis as mentioned in the previous article, aims at capturing what the user of the system needs to accomplish, hence, the Operational Analysis normally starts by identifying who the users (i.e., Operational Entities and/or Operational Actors) of the future system are, and any containment relationship between them.
The document discusses different types of software review techniques, including informal reviews, formal technical reviews, and sample-driven reviews. It provides details on the goals, participants, and processes involved in formal technical reviews like walkthroughs and inspections. Metrics for evaluating the effectiveness of reviews are also presented, such as defects found per hour of preparation or inspection time. Overall, the document provides an overview of best practices and considerations for conducting effective software reviews.
The document discusses various software process models including prescriptive models like waterfall model and incremental process model. It also covers evolutionary models like prototyping and spiral process model. Specialized models covered are component based development, formal methods model, aspect oriented development and unified process model. The key highlights are that different models are suited for different situations based on project needs and each model has advantages and disadvantages to consider.
This document discusses software effort estimation techniques. It begins by explaining the importance of accurate estimation for project success and the difficulties involved due to the complex nature of software development. It then covers various stages where estimates are produced and problems that can arise from over- or under-estimating. The document proceeds to examine specific techniques like bottom-up and top-down estimation as well as analogy-based estimation, and provides examples of each. Historical data, measuring work, and identifying past similar projects are presented as important bases for producing reliable estimates.
This document provides an introduction to software engineering. It defines software as a set of instructions that provide desired functions when executed. Engineering is defined as applying scientific methods to construct, operate, modify and maintain useful devices and systems. Software engineering then applies technologies and practices from computer science, project management, and other fields to the design, development and documentation of software. Some key characteristics of software discussed are that it is developed rather than manufactured, can be easily modified and reproduced, and does not wear out. The document also outlines various types of software applications and discusses software engineering as a layered technology with foundations in quality focus, processes, methods and tools. Finally, it addresses some common software myths from management, customer, and practitioner perspectives.
The document discusses 7 top-level workflows for software project management: management, environment, requirements, design, implementation, assessment, and deployment. It also outlines 4 key principles: having an architecture-first approach, using an iterative life-cycle process, practicing roundtrip engineering, and taking a demonstration-based approach. Iterations consist of sequential activities from the various workflows in different proportions depending on the life cycle phase.
RMMM-Risk Management,Mitigation and Monitoring.Aparna Nayak
This document outlines a risk management, monitoring, and mitigation (RMMM) plan involving 3 key steps: risk avoidance, risk monitoring, and risk management and planning. It discusses monitoring factors like staff turnover that could impact costs and schedules. The plan includes developing strategies to reduce risks, monitoring risks, and having backups if risks are not mitigated. A Risk Information Sheet is used to document all risk analysis work and contains details about identified risks, mitigation plans, current status, and responsibilities.
Understand the concept of DevOps by employing DevOps Strategy Roadmap Lifecycle PowerPoint Presentation Slides Complete Deck. Describe how DevOps is different from traditional IT with these content-ready PPT themes. The slides also help to discuss DevOps use cases in the business, roadmap, and its lifecycle. Explain the roles, responsibilities, and skills of DevOps engineers by utilizing this visually appealing slide deck. Demonstrate DevOp roadmap for implementation in the organization with the help of a thoroughly researched PPT slideshow. Describe the characteristics of cloud computing, its benefits, and risks with the aid of this PPT layout. Utilize this easy-to-use DevOps transformation strategy PowerPoint slide deck to showcase the difference between cloud and traditional data centers. This ready-to-use PowerPoint layout also discusses the roadmap to integrate cloud computing in business. Highlight the usages of cloud computing and deployment models with the help of visual attention-grabbing DevOps implementation roadmap PowerPoint slides. https://bit.ly/3eFxYYr
Quality Attributes In Software Architecture & Design PatternsGatte Ravindranath
Quality Attributes Topic from Software Architecture $ Design patterns in the relation to software product or any engineering architecture development process needs required by an architect.
A document discusses various software estimation techniques including function point analysis, COCOMO models, and cost drivers. Function point analysis breaks a system into functional components like inputs, outputs, inquiries and files that are assigned complexity weights and counts. COCOMO models like COCOMO I and COCOMO II estimate effort using size of the project and cost multipliers related to attributes of the product, computer system, personnel and project. Cost drivers help assess these multipliers to refine effort estimates.
The document discusses various architectural tactics that can be used to achieve different qualities like modifiability, testability, usability, availability, and performance. It defines tactics as design decisions that influence how a system responds to stimuli related to a quality attribute. For each quality, it outlines specific tactics and how they work. For example, for modifiability it discusses tactics like localizing modifications, preventing ripple effects, and deferring binding time. For testability, it covers input/output and internal monitoring tactics.
The document discusses key concepts in software design including:
- The main activities in software design are data design, architectural design, procedural design, and sometimes interface design. Preliminary design transforms requirements into architecture while detail design refines the architecture.
- Data design develops data structures to represent information from analysis. Architectural design defines program structure and interfaces. Procedural design represents structural components procedurally using notations like flowcharts.
- Other concepts discussed include modularity, abstraction, software architecture, control hierarchy, data structures, and information hiding. Modular design, abstraction and information hiding help manage complexity. Software architecture and control hierarchy define program organization.
The document discusses software measurement and metrics. It defines software measurement as quantifying attributes of software products and processes. Metrics are used to measure software quality levels. There are different types of metrics including product, process, and project metrics. Common software metrics include lines of code, function points, and complexity measures. Metrics should be quantitative, understandable, repeatable, and economical to compute.
System Models in Software Engineering SE7koolkampus
The document discusses various types of system models used in requirements engineering including context models, behavioral models, data models, object models, and how CASE workbenches support system modeling. It describes behavioral models like data flow diagrams and state machine models, data models like entity-relationship diagrams, and object models using the Unified Modeling Language. CASE tools can support modeling through features like diagram editors, repositories, and code generation.
This webinar is going to cover what is a digital twin and how all stakeholders can benefit from their functionality. You will learn how model-based systems engineering enables digital engineering. Your host will discuss use cases, a realistic look at digital engineering and digital twins, and how you can use Innoslate to get started.
The Agenda
Here's what we're covering.
What is a Digital Twin
Benefits of Digital Twin
The Digital Engineering Path Enabled by MBSE
AR + MBSE Software
A More Realistic Digital Twin
Getting You Started with Digital Twins
Question Answer Session
- Innoslate is a cloud-native, model-based systems engineering software that supports requirements management, modeling, simulation, and verification and validation.
- It aims to improve upon traditional systems engineering tools by offering easier usability, integrated simulation capabilities, lifecycle management support, and real-time collaboration features.
- Key capabilities include real-time collaboration, discrete event and Monte Carlo simulation integrated with models, scalability tested up to millions of entities and thousands of users, and full lifecycle management across requirements, modeling, testing and documentation.
Your host, Dr. Steven Dam, will walk you through all the changes from Innoslate 4.2. He'll show you the new Charts View and how to create and edit XY plots. You'll also get to see how you can generate Systems Requirements Documents (SRD) right from an asset diagram. Other new features that will be shown: Support Dashboard, Roll Up Models, Entity Definition Report, and Document Template Generation.
New usage model for real-time analytics by Dr. WILLIAM L. BAIN at Big Data S...Big Data Spain
Operational systems manage our finances, shopping, devices and much more. Adding real-time analytics to these systems enables them to instantly respond to changing conditions and provide immediate, targeted feedback. This use of analytics is called “operational intelligence,” and the need for it is widespread.
Consolidating MLOps at One of Europe’s Biggest AirportsDatabricks
At Schiphol airport we run a lot of mission critical machine learning models in production, ranging from models that predict passenger flow to computer vision models that analyze what is happening around the aircraft. Especially now in times of Covid it is paramount for us to be able to quickly iterate on these models by implementing new features, retraining them to match the new dynamics and above all to monitor them actively to see if they still fit the current state of affairs.
To achieve those needs we rely on MLFlow but have also integrated that with many of our other systems. So have we written Airflow operators for MLFlow to ease the retraining of our models, have we integrated MLFlow deeply with our CI pipelines and have we integrated it with our model monitoring tooling.
In this talk we will take you through the way we rely on MLFlow and how that enables us to release (sometimes) multiple versions of a model per week in a controlled fashion. With this set-up we are achieving the same benefits and speed as you have with a traditional software CI pipeline.
Real-time Operational Intelligence for machine datajKool
Learn the story your data has to tell…
Derive Operational Intelligence from machine data
Acquire instant insight.
Operational Intelligence for machine data
• True real-time & historical analytics for Java log data
• Track transactions
• Detect anomalies / determine causality
This document discusses applying DevOps practices and principles to machine learning model development and deployment. It outlines how continuous integration (CI), continuous delivery (CD), and continuous monitoring can be used to safely deliver ML features to customers. The benefits of this approach include continuous value delivery, end-to-end ownership by data science teams, consistent processes, quality/cadence improvements, and regulatory compliance. Key aspects covered are experiment tracking, model versioning, packaging and deployment, and monitoring models in production.
The document discusses several machine learning platforms for 2020 including Altair Knowledge Studio, Anaconda Enterprise, Databricks Unified Analytics Platform, Dataiku Data Science Studio, DataRobot, Domino Data Science Platform, H2O, KNIME Analytics Platform, MATLAB, and TIBCO Data Science. Each platform is briefly described and a link to a YouTube video about the platform is provided.
The document discusses several machine learning platforms for 2020 including Altair Knowledge Studio, Anaconda Enterprise, Databricks Unified Analytics Platform, Dataiku Data Science Studio, DataRobot, Domino Data Science Platform, H2O, KNIME Analytics Platform, MATLAB, and TIBCO Data Science. Each platform is briefly described and a link to a YouTube video about the platform is provided.
Operational systems manage our finances, shopping, devices and much more. Adding real-time analytics to these systems enables them to instantly respond to changing conditions and provide immediate, targeted feedback. This use of analytics is called "operational intelligence," and the need for it is widespread.
This talk will explain how in-memory computing techniques can be used to implement operational intelligence. It will show how an in-memory data grid integrated with a data-parallel compute engine can track events generated by a live system, analyze them in real time, and create alerts that help steer the system’s behavior. Code samples will demonstrate how an in-memory data grid employs object-oriented techniques to simplify the correlation and analysis of incoming events by maintaining an in-memory model of a live system.
The talk also will examine simplifications offered by this approach over directly analyzing incoming event streams from a live system using complex event processing or Storm. Lastly, it will explain key requirements of the in-memory computing platform for operational intelligence, in particular real-time updating of individual objects and high availability using data replication, and contrast these requirements to the design goals for stream processing in Spark.
Incquery Suite Models 2020 Conference by István Ráth, CEO of IncQuery LabsIncQuery Labs
This document discusses how IncQuery Suite can be used to analyze digital threads in model-based systems engineering (MBSE) projects. It provides an overview of IncQuery Suite's features for efficiently extracting and analyzing engineering data across proprietary tools, validating documents and projects, performing graph queries and full-text search, and integrating with various tools. The document also presents two case studies, one involving integrating IncQuery Suite with Airbus's application platform to enable data continuity, and another using IncQuery Suite to provide model checking as a service for SysML models.
Presentazione dello speech tenuto da Carmine Spagnuolo (Postdoctoral Research Fellow - Università degli Studi di Salerno/ ACT OR) dal titolo "Technology insights: Decision Science Platform", durante il Decision Science Forum 2019, il più importante evento italiano sulla Scienza delle Decisioni.
IncQuery Labs provides cloud-based modeling solutions to enable tool integration in model-based systems engineering (MBSE). Their IncQuery tool suite includes a desktop query authoring tool and backend server that allows running complex queries on large models. IncQuery was used to develop an interoperability platform for Airbus that automates workflows involving transformations between modeling tools and generates reports through a web interface.
Steven Dam, Ph.D, ESEP will provide you with a deeper understanding of how to use Innoslate in the Advanced webinar. He will discuss more complex systems engineering topics. You will learn how to use Innoslate for more than just systems engineering, but also architecture, project management, asset management, etc. Improve your teams overall output and become an expert at model-based systems engineering and Innoslate.
Moving to the cloud isn’t easy, transforming your engineering team to adopt to the cloud and services lifestyle is therefore crucial. It all starts with creating a common understanding of the engineering and development principles which are important in the cloud, which are different then building regular applications. This session will take you on a road trip based on the presenters experience developing and more importantly operating Azure Active Directory, SQL Server Azure and most recently the Xbox Live Services to support Xbox One.
Dutch Oracle Architects Platform - Reviewing Oracle OpenWorld 2017 and New Tr...Lucas Jellema
Not since the rise of Service Oriented Architecture (and the supporting Fusion Middleware technology) over a decade ago have we seen so much rapid change in terms of application and infrastructure architecture. Cloud, Microservices and DevOps are perhaps the most explicit examples – but many other developments in technology, architecture and even the industry at large have an impact on how enterprises consider and employ IT – such as machine learning, IoT, blockchain.
In this session for (infrastructure, solution, application, enterprise, security, data) architects – we will present the main stories, roadmaps and technologies from Oracle OpenWorld 2017 (and JavaOne) that influence, shape and enable architecture. We will brainstorm together on the consequences of the new directions outlined by Oracle – and coming our way from other quarters. We are seeing a a lot of change. New opportunities arise – that may become challenges or threats if we fail to recognize and embrace the change in time. This session will help us all to get a better handle on the winds in enterprise IT in general and in Oracle land in particular.
Among the topics we will present and discuss are:
- The Only Way is Up – the inevitable and imminent move from on premises to the cloud, and upwards in the stack – from IaaS to SaaS
- Security and Ops in a hybrid landscape (multiple clouds & on premises, multiple technologies & interaction channels)
- Autonomous Database – what, when, how
- Oracle’s cloud strategy, High PaaS and Low PaaS, Open [source] technology (star of the show: Apache Kafka) and the commodization of the traditional Oracle platform
- Container and Cloud Native at Oracle Cloud (Docker, Kubernetes Container Platform, Wercker, Istio Service Mesh, CNCF)
- Serverless
- Java Reborn – for microservices and cloud, modularized (highlights from the JavaOne conference)
- Disruptive: Blockchain, IoT, Machine Learning
The document discusses Splunk's developer platform and SDKs. It provides an overview of the REST API and how it exposes all of Splunk's functionality. It then discusses the various SDKs available for different programming languages like Java, and provides code examples for connecting to Splunk, searching, and inputting data using the Java SDK. It emphasizes that the SDKs make it easier for developers to build applications and custom integrations on top of Splunk using the languages and frameworks they are already familiar with.
Sencha Tooling and Framework brings enterprise-grade development tools to Ext JS including visual application builders, theme designers, and debugging tools to help developers quickly build performant and beautiful applications. The document demonstrates using Sencha Architect to visually build a news application, and highlights new features in Architect 4.1 like support for premium components, grid enhancements, and importing themes from Themer. Sencha's tools help developers improve productivity and adopt Ext JS frameworks easily.
Join us on Wednesday, October 19th, for our webinar, "What Comes After MBSE?" SPEC Innovations President and Founder, Dr. Steven Dam, will discuss the future of our industry. Since 2007, the focus has been moving from document-based systems engineering to model-based systems engineering (MBSE). With our ever-changing industry and the update to SysML V2, we believe there will be a massive move toward more data-driven systems engineering.
Dr. Dam will dive deeper into the past and present of Systems Engineering, and how this will take us into the future of Data-Driven Systems Engineering. He will share how SPEC Innovations is currently moving into this trend using Innoslate and its power of migration. There will be a time in the end for questions, so bring any you may have with you.
We know change can be intimidating. The coming release of SysML V2 can seem intimidating, as it is a product of 70 organizations and 170 people collaborating. Join us for our next webinar, “Dissecting SysML V2,” with Systems Engineer, Lilleigh Stevie. We will look closely at the next generation of OMG’s modeling language by covering its background, purpose and objectives, KerML, familiar and new concepts, pilot implementation, and where this will take us in the future. There will be a designated time at the end for questions, so bring any you may have with you. Register today and we will see you there!
Does your product or system meet the requirements? Find out in this webinar. Your host will discuss a verification and validation process that has worked for hundreds of our clients to answer this question. Then you will learn how to use a model-based systems engineering tool, Innoslate, to develop your own V&V process document. Then your host will dive into Test Center. Test Center allows for easy test case capture and traceability to requirements and provides the ability to run test cases within one easy-to-use view.
This webinar will cover:
1. V&V process
2. Test Center
3. Documents View
4. Traceability Matrix
Watch recording here: https://www.youtube.com/watch?v=3h9BYZv54s4
Throughout the lifecycle, you will be performing a configuration management process. A configuration management process should store, track, and update all data related to the system or product. The key to configuration management is taking a data-driven approach. This in turn will reduce your lifecycle’s overall risk and increase maintainability. Your host will go over a quick summary of configuration management before diving into how you can do this in the model-based systems engineering tool, Innoslate.
• Importing configuration management guidelines developing
• Using Workflows for Configuration Management
• Baselining documents
• Changing reports with Innoslate’s data history feature
• Implementing Model-Based Reviews
• Managing complex data
How to Develop and Simulate Models with No Coding ExperienceElizabeth Steiner
The document summarizes a webinar on how to develop and simulate models with no coding experience. It discusses using functional analysis and risk analysis to derive requirements. It also describes how to add cost elements and human factors to simulations in Innoslate and Sopatra. The webinar demonstrates building action diagrams to model functionality and linking models to other tools like MATLAB and STK for co-simulation.
SPEC Innovations is starting its “How To MBSE” series this February 17th at 11:00 am ET. The series will begin with “How to Write Requirements.” Your host, Dr. Steven Dam, will discuss:
1. Gathering your requirements
2. Baselining and change management
3. Using AI to manage quality in your requirements
4. Checking for risk in your requirements
5. Adding relationships (traced, verified, and satisfied)
6. Creating reports and matrices
This webinar is perfect if you are just learning to write requirements or are a seasoned requirements developer and want to learn how to utilize software tools and artificial intelligence to improve your requirements. Either way, you will learn a lot in this 45-minute webinar. Stay for the Q&A to ask Dr. Dam your questions.
The “How to MBSE” series will continue with these webinars:
March 24th 2022, 11:00 am ET - “How to Develop and Simulate Models (with no coding experience!)”
https://attendee.gotowebinar.com/register/4521555073189509390
April 13, 2022, 11:00 am ET - “How to Perform Configuration Management”
May 26, 2022, 11:00 am ET – “How to Verify and Validate a System or Process”
June 21, 2022, 11:00 am ET - “How to Develop a Program Management Plan”
The document summarizes a demonstration of a digital thread for engineering a lunar rover prototype using Innoslate's systems engineering tools. It describes 4 tasks: research and design, building the prototype, testing it, and demonstrating the digital thread. Key activities included designing the rover, 3D printing components, assembling the prototype called SPECTER, simulating its mission in STK and MATLAB, and validating it meets requirements. The digital thread integrated models, documents, simulations, code, and tests to engineer a prototype lunar rover from concept to testing.
Innoslate, a model-based systems engineering solution, was developed in 2013 and is used by thousands of engineers, analysts, and program managers today. We’re now making another major feature release with Innoslate 4.5. Innoslate users can now utilize project management features such as Kanban boards, branching and forking, calendar, and timeline diagrams!
Did we mention, this fall we’re also releasing a brand new MBSE tool specifically designed for Standard Operating Procedures? That’s right, Sopatra, uses Natural Language Processing to turn SOP text into executable models. Learn how you can reduce cost and risk, while increasing the success of your operations by using Sopatra’s unique algorithms.
Watch the presentation here: https://www.youtube.com/watch?v=lw-ge_ZHo6s
A Model-Based Systems Engineering Approach to Portfolio ManagementElizabeth Steiner
Learn about the importance of The Lifecycle Modeling Language (LML) to portfolio management. LML provides an open standard ontology and diagram framework that enables more effective communications to all stakeholders in the acquisition process.
Innoslate® implements and extends LML making Innoslate easier to learn and adopt than any other tool available today in the program management and systems engineering domains. You will also learn how Innoslate is built on a modular open systems approach (MOSA) architecture and can be easily integrated with other modern tools. This webinar will also include a sneak preview of Innoslate 4.5's program management features.
This document provides an overview of a webinar on using Innoslate for requirements management. The webinar agenda includes where requirements come from, what makes a good requirement, the difference between requirements management and analysis, and a live demonstration of Innoslate's features to support requirements analysts and managers. Key Innoslate features that support requirements management and analysis are highlighted.
See the major new features and improvements in Innoslate 4.3. The latest version of Innoslate has two brand new diagrams Interface Control Diagram (ICD) and a Risk Burndown Chart. You asked and we delivered; a ReqIF Import and Export. We've also added that Cross Project Entities will be visual noticeable in all views with a new purple symbol indicator, dashed purple lines, or purple background color. Now search has been redesigned for a more flexible user experience. All entity’s attributes can now be searched as well as searching by entity id, relationship name, and attribute name. Dr. Dam will demonstrate best practices for using all the new diagrams, features, and even some of the improvements. Stay for the question and answer session to ask any or all your questions. We look forward to having you there!
This is a perfect webinar for professors and students of systems engineering seeking to improve their academic research and professional expertise.
SPEC Innovations is dedicated to advancing the systems engineering academic community. Our engineers designed Innoslate to improve academic research and help professors expand model-based systems engineering to a new generation of students. See what benefits you have using Innoslate for Aacademia with this webinar.
Take a trip into the history and future of systems engineering to better understand how we can improve the discipline.
Your host, Dr. Steve Dam, discusses where systems engineering came from and where it is going. He includes discussions on how:
- complexity has changed our methodology
- systems engineering languages have evolved
- technology improvements enable better systems engineering
Using Innoslate for Model-Based Systems EngineeringElizabeth Steiner
Dr. Steve Dam will walk you through the process of using Innoslate’s modeling and simulation capabilities while applying a MBSE methodology.
At its core, Innoslate is a full model-based systems engineering tool. Within Innoslate, system models are formalized and capable of simulation to derive cost, schedule, and performance data.
Your webinar will cover:
Functional modeling
Functional modeling is at the heart of how Innoslate derives new requirements and ensures logical accuracy.
Physical modeling
We can describe synthesizing the physical model in Innoslate with eight different diagrams, including the Asset Diagram, Layer Diagram, Block Definition Diagram, and Internal Block Diagram.
Executing a model
Innoslate includes a ‘Discrete Event Simulator’ to verify functional diagram’s logic, calculate cost, compute time, and quantify performance.
Relating Requirements to Diagrams
Requirements traceability ensures that the lifecycle and origin of a requirement is fully tracked. Innoslate includes relationship matrices to represent traceability relationships between entities in tabular view.
Requirements Generation
After modeling the system, often an engineer will derive textual requirements from the models by hand. Innoslate includes an automatic facility that generates requirements documents in a standard format (as outlined in “The Engineering Design of Systems: Models and Methods“).
Learn how you can use Innoslate throughout the entire lifecycle of a product or system. Dr. Steven Dam, expert systems engineer, will discuss the different phases of the lifecycle from conception to disposal. He'll show you how you can use Innoslate for requirements management, modeling, simulation, and testing.
Improve Product Design with High Quality RequirementsElizabeth Steiner
The webinar discussed improving product design through high quality requirements. It emphasized the importance of understanding stakeholders, determining real needs through concept of operations documents, writing specific but not overly specific requirements, including traceability, and using tools to automatically check requirements quality. The presenter demonstrated Innoslate's requirements management tools.
Product Lifecycle Management (PLM) has many definitions, but do they really look at all the needs across the lifecycle? Are the commonly listed domains (Systems Engineering, Program Management, Product Design, Process Management for Manufacturing and Product Data Management) enough? This webinar helps define PLM in more depth and applies model-based systems engineering (MBSE) techniques and tools to show how to improve your PLM practice. It will include a demonstration of how Innoslate meets and exceeds the requirements for a PLM tool.
Everyone talks about "data-centricity," but what does that mean in practical terms. It means that you have to have a well defined ontology that can capture the information needed to describe the architecture or system you work with or want to create. An ontology is simply the taxonomy of entity classes (bins of information) and how those classes are related to each other. In this webinar, we will discuss a relatively new ontology, the Lifecycle Modeling Language (LML). LML provides the basis for Innoslate's database schema. In this webinar, we will discuss each entity class and why it was developed. Dr. Steven Dam, who is the Secretary of the LML Steering Committee, will present the details of the language and how it relates to other ontologies/languages, such as the DoDAF MetaModel 2.0 and SysML. He will also discuss the ways to visualize this information to enhance understanding of the information and how to use that information to make decisions about the architecture or system.
This document discusses verification and validation (V&V) and developing a V&V plan using model-based systems engineering. It explains that V&V activities should occur early in the lifecycle during requirements analysis and system design. It also discusses preparing for V&V by developing an ontology, defining verifiable requirements, and creating a V&V plan. The document shows how the LML schema can be extended to support V&V and describes characteristics of good requirements that make them verifiable. Finally, it demonstrates how to develop a test plan and test cases using MBSE and simulate test execution.
Innoslate is a full lifecycle systems engineering tool that provides you with the capability to perform requirements analysis, functional and physical modeling, simulation, testing, and more all in one place.
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
towards E-Recruitment. Present most of the HRs of
many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
Height and depth gauge linear metrology.pdfq30122000
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
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This presentation is about Food Delivery Systems and how they are developed using the Software Development Life Cycle (SDLC) and other methods. It explains the steps involved in creating a food delivery app, from planning and designing to testing and launching. The slide also covers different tools and technologies used to make these systems work efficiently.
Sri Guru Hargobind Ji - Bandi Chor Guru.pdfBalvir Singh
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
3. One View Automatically Produces Many
Views
• Functional Views
• Physical Views
• Requirements Views
4. View Auto-Generation Gives You
• Simplicity: Learn just the LML Action Diagram, LML Asset Diagram, and
Requirements View to generate 15+ diagrams and matrices
automatically
• Accuracy: All diagrams and views are automatically synced with each
other to prevent model errors and inconsistencies
• Efficiency: Manually create fewer diagrams while automatically
generating diagrams difficult to generate manually
• Enforce standards: Diagrams in Innoslate adhere to the LML, SysML,
and/or best practices to ensure compliance across the project
6. Innoslate Security
• All connections are SSL encrypted in transit
• New files uploaded are 128bit AES encrypted at rest
• All developers in Northern Virginia
• Public cloud provider has the following security
certifications:
• ISO 27001:2005
• SAS70 Type II
• SSAE 16 Type II
• ISAE 3402 Type II
• Innoslate Enterprise can be deployed locally behind your firewall.
• Amazon Gov Cloud
• NSERC (SIPR and NIPR)
6
7. System Requirements
• Platform Independent
• Works on Windows XP/7/8/RT,
MAC OS X, Linux, iOS, Android
• Software
• Any modern web browser (Google
Chrome, Mozilla Firefox, Safari, IE
10 or 11)
• No downloads required
7
9. Use Cases
• Use Case Diagram
• Used to list use cases
• Action or Activity Diagram
• Used to create executable processes
• Use discrete event and/or Monte Carlo simulators
10. Simulate Your Scenario
Explore the variation of individual steps to execute the model over
many iterations using the Monte Carlo Simulator
Watch scenario execute at all levels using
the Discrete Event Simulator
11. Architecture-Based CONOPS Document
• Use CONOPS templates in
Documents View to create a
detailed CONOPS document
based on the architecture of
your system
• Use this living document
throughout the lifecycle
13. Import Originating Artifacts
• Select “Import Analyzer”
• Automatically identifies
potential requirements
vs. statements that
provide context
13
14. Use Traceability Spider Diagram to link
between Requirements, Actions and Assets
• Shows how a single
entity (database object)
is related to the rest of
the system
• Drag and drop new
entities and create
relationships right from
the diagram
14
17. Innoslate Supports the I&T Phase
• Documents View has Test Plan templates already available
• Test results from other tools can also be captured as Artifacts
and traced back to requirements, use cases, and CONOPS
• You can analyze and enhance your test processes and
procedures using the functional analysis tools available
18. Build the Asset Diagram to Capture
Interfaces
18
Create a classic block diagram … … or add pictures and special lines for concept diagram
19. Or Use the Internal Block Diagram or
Physical I/O Diagram
• SysML IBD provides
ports and interfaces
• Physical I/O diagram
shows data flows with
physical entities (Assets)
• Will automatically set up
Conduits between Assets
and allocate the I/Os to
those Conduits
21. Develop the Project Management
Plan in Innoslate
• Now the plan
elements can be
directly related to
requirements, risks,
decisions, and
business processes
• Output as MS Word
Document
21
22. Conduct Model-Based Project Management
• All modern (last 60 years)
business approaches
emphasize process
modeling
• Includes identification of
products (deliverables) and
resources
23. Derive the Schedule
• Use the processes to
develop realistic schedules
• Automatically captures
simulation results as Artifacts
for comparison and
documentation
• Cost and resource reports
25. Capture Risks and Conduct Risk Analysis
• Identify risks as part of the
overall requirements,
functional and physical
analyses
• Trace the sources of risk to
these analyses
25
27. Build an Action Diagram to Easily Model
Scenarios or Business Processes
• Functional modeling
• sequencing and data flow, with allocation and resource modeling explicit
• Drag/drop capable
• Executable in both Discrete Event and Monte Carlo simulators
27
28. Or Use the Sequence Diagram
• Functional sequencing
• Another view from the database,
not a separate “drawing”
• Can generate from Action Diagram
or be used to generate an Action
Diagram
• Also, drag and drop capable, with
sidebar for information on entities
29. And the IDEF0 Diagram
• Classic data flow modeling
• Drag and drop
• Sidebar enabled
• ICOM view also available
31. DoDAF Dashboard
• Access to all DoDAF
products
• DM2 Statistics
• PES export
DM2 = DoDAF MetaModel 2.0
32. Tool Comparisons
Innoslate vs. SysML Drawing Tool
• Automatic diagram generation (Develop a few diagrams and automatically
generate many diagrams; saving time and increasing accuracy)
• Large scalability (Innoslate Cloud - thousands of users around the world across
many servers; Innoslate Enterprise - tested for 500 users and 10 million objects)
• Complete requirements tool (replace and exceed DOORS capabilities)
• Complete simulation capability (simulators in other tools only provide a step logic
checker; Innoslate has analytical Discrete Event and Monte Carlo simulators that
provide cost, schedule, and performance information)
• Real-Time Collaboration (Real time updates, group chat, and project dashboard)
• Platform Independent (Works on Windows, Mac, Linux, iOS, Android, Chrome OS)
• Availability (Public Cloud @ innoslate.com, NIPRNet on NSERC, SIPRNet on
NSERC, Amazon GovCloud, Amazon AWS, Private Server at your data center)
33. Tool Comparison
Innoslate vs. Requirement Tools
• Advanced quality analysis (Integrated Natural Language Parsing technology scores
and recommends improvements to requirements)
• Integrated standard modeling capability (LML and SysML capability integrated;
Hierarchy, Tree, Spider, and SysML Requirement diagrams are autogenerated from the
document)
• Integrated simulation capability (Innoslate has analytical Discrete Event and Monte
Carlo simulators that provide cost, schedule, and performance information)
• Large scalability (Innoslate Cloud - thousands of users around the world across many
servers; Innoslate Enterprise - tested for 500 users and 10 million objects)
• Real-Time Collaboration (Real time updates, group chat, and project dashboard)
• Platform Independent (Works on Windows, Mac, Linux, iOS, Android, Chrome OS)
• Availability (Public Cloud @ innoslate.com, NIPRNet on NSERC, SIPRNet on NSERC,
Amazon GovCloud, Amazon AWS)
34. Next Steps
1.Create an account for free https://www.innoslate.com/signup/
2.Request a free trial of Innoslate Professional
3.Use the Getting Started panel on the dashboard
4.Read the tool documentation at http://docs.innoslate.com/latest/
5.For technical support contact support@innoslate.com or call 571-485-
7800 x 2 (all support is free)
6.For general questions contact sales@Innoslate.com or call 571-485-7800
x 1
7.Provide feedback with the feedback panel on the dashboard