231 In-Depth Metamodeling Questions for Professionals

What is involved in Metamodeling

Find out what the related areas are that Metamodeling connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Metamodeling thinking-frame.

How far is your company on its Metamodeling journey?

Take this short survey to gauge your organization’s progress toward Metamodeling leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.

To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.

Start the Checklist

Below you will find a quick checklist designed to help you think about which Metamodeling related domains to cover and 231 essential critical questions to check off in that domain.

The following domains are covered:

Metamodeling, ISO/IEC 24744, Software engineering, Software prototyping, Function model, Object Process Methodology, Watts Humphrey, Project management, Software deployment, Real life, Business reference model, MetaCASE tool, Edsger W. Dijkstra, Generic Eclipse Modeling System, Aspect-oriented software development, Requirements engineering, Gradient-Enhanced Kriging, Systems development life cycle, Risk management, Space mapping, Saraju Mohanty, Niklaus Wirth, Computer programming, Unified Process, Trygve Reenskaug, Software architecture, Peri Tarr, Entity–relationship model, Method engineering, Software quality, Data modeling, Piecewise Polynomial, Bertrand Meyer, Service-oriented architecture, Metadata modeling, Spiral model, Danese Cooper, Systems modeling, Incremental build model, Executable UML, Iterative and incremental development, Extreme programming, Software verification and validation, Domain of discourse, Computer engineering, Polynomial Metamodels, Model-driven architecture, Object-oriented programming, Software quality assurance, Requirements analysis, Model Driven Engineering, Domain-Specific Modeling, Ivar Jacobson, Software archaeology, Surrogate model, View model, Software maintenance, XML Metadata Interchange, Neural network, Formal methods, Computer science, International Organization for Standardization, Metamodeling, Capability Maturity Model Integration, Functional specification, Object model, Information model, Systems engineering:

Metamodeling Critical Criteria:

Demonstrate Metamodeling tactics and visualize why should people listen to you regarding Metamodeling.

– What sources do you use to gather information for a Metamodeling study?

– What is our formula for success in Metamodeling ?

– How would one define Metamodeling leadership?

ISO/IEC 24744 Critical Criteria:

Design ISO/IEC 24744 results and improve ISO/IEC 24744 service perception.

– Can we add value to the current Metamodeling decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?

– What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Metamodeling?

Software engineering Critical Criteria:

Differentiate Software engineering results and use obstacles to break out of ruts.

– DevOps isnt really a product. Its not something you can buy. DevOps is fundamentally about culture and about the quality of your application. And by quality I mean the specific software engineering term of quality, of different quality attributes. What matters to you?

– Can we answer questions like: Was the software process followed and software engineering standards been properly applied?

– Is open source software development faster, better, and cheaper than software engineering?

– Is maximizing Metamodeling protection the same as minimizing Metamodeling loss?

– What are the Key enablers to make this Metamodeling move?

– Better, and cheaper than software engineering?

Software prototyping Critical Criteria:

Canvass Software prototyping risks and transcribe Software prototyping as tomorrows backbone for success.

– How do we know that any Metamodeling analysis is complete and comprehensive?

– What are the Essentials of Internal Metamodeling Management?

– Is the scope of Metamodeling defined?

Function model Critical Criteria:

Accommodate Function model outcomes and find out.

– Will new equipment/products be required to facilitate Metamodeling delivery for example is new software needed?

– What knowledge, skills and characteristics mark a good Metamodeling project manager?

– Do we have past Metamodeling Successes?

Object Process Methodology Critical Criteria:

Revitalize Object Process Methodology failures and question.

– What are the success criteria that will indicate that Metamodeling objectives have been met and the benefits delivered?

– Have you identified your Metamodeling key performance indicators?

– Do Metamodeling rules make a reasonable demand on a users capabilities?

Watts Humphrey Critical Criteria:

Dissect Watts Humphrey tactics and get answers.

– Who is responsible for ensuring appropriate resources (time, people and money) are allocated to Metamodeling?

– What are the top 3 things at the forefront of our Metamodeling agendas for the next 3 years?

Project management Critical Criteria:

Use past Project management goals and remodel and develop an effective Project management strategy.

– How much and which way a traditional project manager has to change his/her management style or way of working in order to be an agile project manager?

– Does the software Quality Assurance function have a management reporting channel separate from the software development project management?

– How can an agile project manager balance team level autonomy and individual level autonomy in agile software teams?

– What about when our product is an integration of several different products, each with their own product owner?

– How can an agile project manager balance team level autonomy and individual level autonomy in agile software teams?

– What did you accomplish yesterday, what will you do today, and what impediments are getting in your way?

– Can agile project management be adopted by industries other than software development?

– Which individual role is responsible for all aspects of the delivery of the solution?

– What happens to the function of the business analysis in user story development?

– Justification: what are your research questions and how do you motivate them?

– Will reporting methods be different for agile versus traditional projects?

– Does your organization have a Project Management Office (PMO)?

– How can Trello be used as an Agile project management tool?

– What are the Commercial aspects of Project Management?

– What is Turnkey Operation in Project Management?

– What project management associations are you a member of?

– What is the meaning of success in this context?

– Are the pms ready to execute agile projects?

– What project management certifications do you hold?

– What is the cost of change?

Software deployment Critical Criteria:

Reorganize Software deployment tasks and simulate teachings and consultations on quality process improvement of Software deployment.

– Are accountability and ownership for Metamodeling clearly defined?

– How can skill-level changes improve Metamodeling?

– How to Secure Metamodeling?

Real life Critical Criteria:

Have a meeting on Real life issues and look at the big picture.

– What is the purpose of Metamodeling in relation to the mission?

– How has data governance worked in real life?

– Does Agile Release Management Work in Real Life?

– How much does Metamodeling help?

Business reference model Critical Criteria:

Check Business reference model engagements and budget for Business reference model challenges.

– What are the key elements of your Metamodeling performance improvement system, including your evaluation, organizational learning, and innovation processes?

– What are your key performance measures or indicators and in-process measures for the control and improvement of your Metamodeling processes?

– How do we measure improved Metamodeling service perception, and satisfaction?

MetaCASE tool Critical Criteria:

Revitalize MetaCASE tool visions and diversify by understanding risks and leveraging MetaCASE tool.

– Do those selected for the Metamodeling team have a good general understanding of what Metamodeling is all about?

– What are the long-term Metamodeling goals?

Edsger W. Dijkstra Critical Criteria:

Bootstrap Edsger W. Dijkstra engagements and suggest using storytelling to create more compelling Edsger W. Dijkstra projects.

– How will you know that the Metamodeling project has been successful?

– Are there Metamodeling problems defined?

– Is Metamodeling Required?

Generic Eclipse Modeling System Critical Criteria:

Refer to Generic Eclipse Modeling System outcomes and know what your objective is.

– How do senior leaders actions reflect a commitment to the organizations Metamodeling values?

– What other jobs or tasks affect the performance of the steps in the Metamodeling process?

– How likely is the current Metamodeling plan to come in on schedule or on budget?

Aspect-oriented software development Critical Criteria:

Generalize Aspect-oriented software development tactics and research ways can we become the Aspect-oriented software development company that would put us out of business.

– How important is Metamodeling to the user organizations mission?

– How can you measure Metamodeling in a systematic way?

– How can the value of Metamodeling be defined?

Requirements engineering Critical Criteria:

Contribute to Requirements engineering risks and find answers.

– What is the total cost related to deploying Metamodeling, including any consulting or professional services?

– How is the value delivered by Metamodeling being measured?

Gradient-Enhanced Kriging Critical Criteria:

Read up on Gradient-Enhanced Kriging strategies and assess and formulate effective operational and Gradient-Enhanced Kriging strategies.

– How do we manage Metamodeling Knowledge Management (KM)?

Systems development life cycle Critical Criteria:

Chart Systems development life cycle governance and probe using an integrated framework to make sure Systems development life cycle is getting what it needs.

– Is Metamodeling dependent on the successful delivery of a current project?

– Why is the systems development life cycle considered an iterative process?

– Who are the people involved in developing and implementing Metamodeling?

– What are the five steps in the systems development life cycle (sdlc)?

Risk management Critical Criteria:

Substantiate Risk management projects and assess and formulate effective operational and Risk management strategies.

– Are we using Metamodeling to communicate information about our Cybersecurity Risk Management programs including the effectiveness of those programs to stakeholders, including boards, investors, auditors, and insurers?

– Senior management, the mission owners, knowing the potential risks and recommended controls, may ask, when and under what circumstances should I take action, do we have the answers?

– Has your organization conducted a cyber risk or vulnerability assessment of its information systems, control systems, and other networked systems?

– Is your strategy development linked to risk management or any ERM?  Or are you looking for ERM to support strategic objectives?

– Do you have policies and regulations in place regarding the physical and operating environment for organizational assets?

– Is your organization doing any form of outreach or education on Cybersecurity Risk Management (including the framework)?

– For the most critical systems, are multiple operators required to implement changes that risk consequential events?

– How is the enterprise Risk Management model used to assess and respond to risk?

– What is our approach to Risk Management in the specific area of social media?

– Do we do risk identification by answering the question what can go wrong?

– Can we acquire data to facilitate production of our critical components?

– Do we appropriately integrate Cybersecurity risk into business risk?

– Can we share data with the expectation of uniform protection?

– Are records kept of Cybersecurity access to key systems?

– Technology risk -is the project technically feasible?

– Has the ERM initiative been mandated by the regulators?

– What do our summary risk reports look like?

Space mapping Critical Criteria:

Wrangle Space mapping tasks and create Space mapping explanations for all managers.

Saraju Mohanty Critical Criteria:

Nurse Saraju Mohanty tasks and stake your claim.

– what is the best design framework for Metamodeling organization now that, in a post industrial-age if the top-down, command and control model is no longer relevant?

– Among the Metamodeling product and service cost to be estimated, which is considered hardest to estimate?

– Who sets the Metamodeling standards?

Niklaus Wirth Critical Criteria:

Facilitate Niklaus Wirth outcomes and probe Niklaus Wirth strategic alliances.

– Who will provide the final approval of Metamodeling deliverables?

– Does Metamodeling appropriately measure and monitor risk?

Computer programming Critical Criteria:

Guide Computer programming governance and simulate teachings and consultations on quality process improvement of Computer programming.

– How can we incorporate support to ensure safe and effective use of Metamodeling into the services that we provide?

– How do we ensure that implementations of Metamodeling products are done in a way that ensures safety?

Unified Process Critical Criteria:

Understand Unified Process decisions and optimize Unified Process leadership as a key to advancement.

– In the case of a Metamodeling project, the criteria for the audit derive from implementation objectives. an audit of a Metamodeling project involves assessing whether the recommendations outlined for implementation have been met. in other words, can we track that any Metamodeling project is implemented as planned, and is it working?

– Have all basic functions of Metamodeling been defined?

Trygve Reenskaug Critical Criteria:

Sort Trygve Reenskaug visions and describe the risks of Trygve Reenskaug sustainability.

– What are your most important goals for the strategic Metamodeling objectives?

– Which Metamodeling goals are the most important?

Software architecture Critical Criteria:

Meet over Software architecture governance and find out what it really means.

– Who is the main stakeholder, with ultimate responsibility for driving Metamodeling forward?

Peri Tarr Critical Criteria:

Deliberate Peri Tarr goals and create a map for yourself.

– What are the usability implications of Metamodeling actions?

Entity–relationship model Critical Criteria:

Administer Entity–relationship model tactics and balance specific methods for improving Entity–relationship model results.

– Are there any disadvantages to implementing Metamodeling? There might be some that are less obvious?

– How do we go about Comparing Metamodeling approaches/solutions?

Method engineering Critical Criteria:

Chart Method engineering quality and correct better engagement with Method engineering results.

– To what extent does management recognize Metamodeling as a tool to increase the results?

– What is Effective Metamodeling?

Software quality Critical Criteria:

Check Software quality goals and achieve a single Software quality view and bringing data together.

– Are software Quality Assurance tests a part of the general hardware acceptance test on the customers machine before it leaves the factory?

– What other organizational variables, such as reward systems or communication systems, affect the performance of this Metamodeling process?

– For your Metamodeling project, identify and describe the business environment. is there more than one layer to the business environment?

– Do software Quality Assurance test programs undergo the same production cycle and method (except q/a) as the software they test?

– Is software Quality Assurance done by an independently reporting agency representing the interests of the eventual user?

– What are the best practices for software quality assurance when using agile development methodologies?

– Is at least one person engaged in software Quality Assurance for every ten engaged in its fabrication?

– The need for high-quality software is glaring. But what constitutes software quality?

Data modeling Critical Criteria:

Systematize Data modeling risks and maintain Data modeling for success.

– Is there a Metamodeling Communication plan covering who needs to get what information when?

– Does the Metamodeling task fit the clients priorities?

Piecewise Polynomial Critical Criteria:

Cut a stake in Piecewise Polynomial goals and handle a jump-start course to Piecewise Polynomial.

– At what point will vulnerability assessments be performed once Metamodeling is put into production (e.g., ongoing Risk Management after implementation)?

Bertrand Meyer Critical Criteria:

Have a session on Bertrand Meyer governance and diversify by understanding risks and leveraging Bertrand Meyer.

Service-oriented architecture Critical Criteria:

Closely inspect Service-oriented architecture tasks and secure Service-oriented architecture creativity.

– What role does communication play in the success or failure of a Metamodeling project?

Metadata modeling Critical Criteria:

Give examples of Metadata modeling governance and create a map for yourself.

– Why is it important to have senior management support for a Metamodeling project?

Spiral model Critical Criteria:

Concentrate on Spiral model goals and ask what if.

– Meeting the challenge: are missed Metamodeling opportunities costing us money?

– Can we do Metamodeling without complex (expensive) analysis?

– What are internal and external Metamodeling relations?

Danese Cooper Critical Criteria:

Consult on Danese Cooper decisions and work towards be a leading Danese Cooper expert.

Systems modeling Critical Criteria:

Probe Systems modeling results and proactively manage Systems modeling risks.

– Does Metamodeling include applications and information with regulatory compliance significance (or other contractual conditions that must be formally complied with) in a new or unique manner for which no approved security requirements, templates or design models exist?

– Does Metamodeling create potential expectations in other areas that need to be recognized and considered?

Incremental build model Critical Criteria:

Look at Incremental build model goals and explore and align the progress in Incremental build model.

– What are our needs in relation to Metamodeling skills, labor, equipment, and markets?

Executable UML Critical Criteria:

Accelerate Executable UML tasks and give examples utilizing a core of simple Executable UML skills.

– A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Metamodeling models, tools and techniques are necessary?

Iterative and incremental development Critical Criteria:

Detail Iterative and incremental development issues and oversee Iterative and incremental development management by competencies.

– Which customers cant participate in our Metamodeling domain because they lack skills, wealth, or convenient access to existing solutions?

– Why should we adopt a Metamodeling framework?

Extreme programming Critical Criteria:

Weigh in on Extreme programming governance and create a map for yourself.

– How Extreme Does Extreme Programming Have to Be?

– When using Extreme Programming?

– How do we go about Securing Metamodeling?

– What Is Extreme Programming?

– Are there Metamodeling Models?

Software verification and validation Critical Criteria:

Adapt Software verification and validation failures and reinforce and communicate particularly sensitive Software verification and validation decisions.

– What are the short and long-term Metamodeling goals?

– What are current Metamodeling Paradigms?

Domain of discourse Critical Criteria:

Consult on Domain of discourse tasks and separate what are the business goals Domain of discourse is aiming to achieve.

Computer engineering Critical Criteria:

Own Computer engineering outcomes and clarify ways to gain access to competitive Computer engineering services.

– Does Metamodeling analysis show the relationships among important Metamodeling factors?

– Is Supporting Metamodeling documentation required?

Polynomial Metamodels Critical Criteria:

Align Polynomial Metamodels outcomes and devote time assessing Polynomial Metamodels and its risk.

– Does Metamodeling analysis isolate the fundamental causes of problems?

– How do we maintain Metamodelings Integrity?

Model-driven architecture Critical Criteria:

Value Model-driven architecture strategies and remodel and develop an effective Model-driven architecture strategy.

– Does Metamodeling systematically track and analyze outcomes for accountability and quality improvement?

– What are the record-keeping requirements of Metamodeling activities?

Object-oriented programming Critical Criteria:

Deduce Object-oriented programming risks and reinforce and communicate particularly sensitive Object-oriented programming decisions.

– Risk factors: what are the characteristics of Metamodeling that make it risky?

– Which individuals, teams or departments will be involved in Metamodeling?

Software quality assurance Critical Criteria:

Analyze Software quality assurance management and customize techniques for implementing Software quality assurance controls.

– How do we make it meaningful in connecting Metamodeling with what users do day-to-day?

Requirements analysis Critical Criteria:

Contribute to Requirements analysis goals and find the ideas you already have.

– Who will be responsible for deciding whether Metamodeling goes ahead or not after the initial investigations?

– What will drive Metamodeling change?

– Is a Metamodeling Team Work effort in place?

Model Driven Engineering Critical Criteria:

Boost Model Driven Engineering decisions and look at it backwards.

Domain-Specific Modeling Critical Criteria:

Think about Domain-Specific Modeling goals and define what our big hairy audacious Domain-Specific Modeling goal is.

– How do we Improve Metamodeling service perception, and satisfaction?

– Who needs to know about Metamodeling ?

Ivar Jacobson Critical Criteria:

Weigh in on Ivar Jacobson governance and learn.

– How do you incorporate cycle time, productivity, cost control, and other efficiency and effectiveness factors into these Metamodeling processes?

– What new services of functionality will be implemented next with Metamodeling ?

– What are the business goals Metamodeling is aiming to achieve?

Software archaeology Critical Criteria:

Investigate Software archaeology goals and oversee Software archaeology management by competencies.

Surrogate model Critical Criteria:

Dissect Surrogate model tactics and get out your magnifying glass.

– Is the Metamodeling organization completing tasks effectively and efficiently?

– Have the types of risks that may impact Metamodeling been identified and analyzed?

View model Critical Criteria:

Frame View model goals and explore and align the progress in View model.

Software maintenance Critical Criteria:

Win new insights about Software maintenance adoptions and describe which business rules are needed as Software maintenance interface.

– If the path forward waits until a new generation of devices essentially replaces an old generation of devices which could be somewhere between 5 and 15 years, what does the path forward look like for the legacy devices and their software maintenance?

– Do we cover the five essential competencies-Communication, Collaboration,Innovation, Adaptability, and Leadership that improve an organizations ability to leverage the new Metamodeling in a volatile global economy?

– What tools do you use once you have decided on a Metamodeling strategy and more importantly how do you choose?

XML Metadata Interchange Critical Criteria:

Chart XML Metadata Interchange issues and devise XML Metadata Interchange key steps.

– Is there any existing Metamodeling governance structure?

– Are assumptions made in Metamodeling stated explicitly?

Neural network Critical Criteria:

Refer to Neural network tactics and change contexts.

– Can Management personnel recognize the monetary benefit of Metamodeling?

Formal methods Critical Criteria:

Air ideas re Formal methods tactics and shift your focus.

Computer science Critical Criteria:

Boost Computer science goals and display thorough understanding of the Computer science process.

– Are we Assessing Metamodeling and Risk?

International Organization for Standardization Critical Criteria:

Trace International Organization for Standardization quality and gather International Organization for Standardization models .

– What are our Metamodeling Processes?

Metamodeling Critical Criteria:

Mine Metamodeling management and look in other fields.

– Do you monitor the effectiveness of your Metamodeling activities?

Capability Maturity Model Integration Critical Criteria:

Consult on Capability Maturity Model Integration goals and assess and formulate effective operational and Capability Maturity Model Integration strategies.

Functional specification Critical Criteria:

Recall Functional specification quality and ask what if.

Object model Critical Criteria:

Have a round table over Object model failures and raise human resource and employment practices for Object model.

– What are our best practices for minimizing Metamodeling project risk, while demonstrating incremental value and quick wins throughout the Metamodeling project lifecycle?

Information model Critical Criteria:

Transcribe Information model management and visualize why should people listen to you regarding Information model.

– Has the semantic relationship between information elements been identified based on the information models and classification schemes?

Systems engineering Critical Criteria:

Distinguish Systems engineering engagements and maintain Systems engineering for success.

– When observing natural systems, complexity theorists can identify, to some degree, which systems have these features. to apply complexity theory to engineered systems that we have not yet designed, can we predict these features within acceptable accuracy ranges?

– How much testing is necessary in order to expose all the potential failure modes and situations of highly integrated complex systems?

– What is the plan to align prime contractors systems engineering management plan (semp) with the Program Management office (pmo) sep?

– What will take the place of magnitude in our attempts to discern a power-law relationship?

– What is the detailed set of functions and properties of a given interface?

– What are the elements and the high-level capabilities of the system?

– Is systems engineering the solution to all of our systems problems?

– How will the system be developed, operated, and maintained?

– Are the requirements mapped to one or more user needs?

– How will functionality be verified and validated?

– What are the flows between parts of the system?

– Where would we like to be in the future?

– Is there a commitment from the top down?

– Is the schedule too aggressive?

– How to deal with Metamodeling Changes?

– Multiple development cycles?

– What are our objectives?

– What option is best?


This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Metamodeling Self Assessment:


Author: Gerard Blokdijk

CEO at The Art of Service | http://theartofservice.com



Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

External links:

To address the criteria in this checklist, these selected resources are provided for sources of further research and information:

Metamodeling External links:

[PDF]Metamodeling – University of Toronto

Simulation Metamodeling with Gaussian Process: A …

[PDF]Metamodeling – NTUA

ISO/IEC 24744 External links:

ISO/IEC 24744:2014(en), Software engineering ? …

OVE webshop – ISO/IEC 24744:2014

05.03.2012 7 Introduction to ISO/IEC 24744 Cesar Gonzalez-Perez Brian Henderson-Sellers Comparison at a glance SPEM ISO 24744 Process aspects only
http://6.8 CLASSES IN ISO/IEC 24744 – Metamodelling for …

Software engineering External links:

Software Engineering | University of Wisconsin-Platteville

Software Engineering Institute

Software prototyping External links:

Software Prototyping & Requirements Management …

Skill Pages – Software prototyping | Dice.com

Software Prototyping | Rapid Prototyping | AgileThought

Function model External links:

RapidIO Bus Function Model | BFM User Group

[PDF]360 Thinking: An Executive Function Model and …

Object Process Methodology External links:

Object Process Methodology · GitHub

Watts Humphrey External links:

G. Watts Humphrey Jr. Headlines – Page 1 of 1 – BloodHorse

G. Watts Humphrey Jr. | | Thoroughbred Racing Dudes

g. watts humphrey jr. – Horse Racing News | Paulick Report

Project management External links:

LearnSmart IT & Project Management Online Training …

CCRS | Project Management Institute

Software deployment External links:

Software Deployment – PC Power Management – IT …

Sophos Central: Software deployment methods – Sophos Community

Real life External links:

Real Life Church – Helping People Find and Follow Jesus

Glossier | Skincare & Beauty Products Inspired by Real Life

Business reference model External links:

[PDF]VA EA BRM (Business Reference Model)

World-Class EA: Business Reference Model

Federal Human Capital Business Reference Model

Edsger W. Dijkstra External links:

Edsger W. Dijkstra – Scientist | Facebook

A Discipline of Programming by Edsger W. Dijkstra

A Guide to the Edsger W. Dijkstra Papers, 1948-2002

Generic Eclipse Modeling System External links:

Generic Eclipse Modeling System – Vanderbilt University

Generic Eclipse Modeling System / Bugs / Markdown Syntax

[PDF]The Generic Eclipse Modeling System

Aspect-oriented software development External links:

Aspect-oriented software development (AOSD) uses this approach to create a better modularity for functional and nonfunctional requirements, platform specifics, and more, allowing you to build more understandable systems that are easier to configure and extend to meet the evolving needs of stakeholders. In this highly anticipated new …

Requirements engineering External links:

Requirements engineering (Book, 1996) [WorldCat.org]

Requirements Engineering (eBook, 2002) [WorldCat.org]

Requirements Engineering for Survivable Systems. …

Gradient-Enhanced Kriging External links:

[PDF]Performance study of gradient-enhanced Kriging

[PDF]Gradient-enhanced kriging for high-dimensional …

Performance study of gradient-enhanced Kriging | …

Systems development life cycle External links:

DOJ Systems Development Life Cycle Guidance Table of Contents

[PDF]Systems Development Life Cycle (SDLC) …

Systems Development Life Cycle – albany.edu

Risk management External links:

Education Risk Management | Edu Risk Solutions

Risk Management Jobs – Apply Now | CareerBuilder

Risk Management Job Titles | Enlighten Jobs

Space mapping External links:

Space Mapping – YouTube

[PDF]Reciprocal Space Mapping for Dummies – arXiv

Parcels for Protected Open Space Mapping – UConn CT …

Saraju Mohanty External links:

ICCE 2018 Welcome by Conference Chair Prof Saraju Mohanty

Niklaus Wirth External links:

Niklaus Wirth Profiles | Facebook

Niklaus Wirth – Department of Computer Science | ETH Zurich

Niklaus Wirth Quotes – BrainyQuote

Computer programming External links:

Computer programming | Computing | Khan Academy

Computer Programming, Robotics & Engineering – STEM For Kids

Gwinnett Technical College- Computer Programming

Unified Process External links:

When should we use Rational Unified Process? – Quora

CDC UP | Home Page of the CDC Unified Process

What is Rational Unified Process (RUP)? Webopedia …

Trygve Reenskaug External links:

Trygve Reenskaug (Author of Working With Objects)

Fredag morgen hos DND – Samtale med Trygve Reenskaug …

[PDF]Trygve Reenskaug, University of Oslo …

Software architecture External links:

Software Architecture & Design | Udacity

O’Reilly Software Architecture Conference in New York …

Example: Software Architecture Document

Peri Tarr External links:

Peri Tarr – ICSE 2018

Peri Tarr, IBM T.J. Watson Research Center

Peri Tarr
http://Peri Tarr received her BS in Zoology from the University of Massachusetts Amherst in 1986, and her MS and PhD in Computer Science from the University of Massachusetts Amherst. Between her BS and MS/PhD, she worked full-time at the University of Massachusetts Physical Plant, attempting to introduce an automated system to help with the Plant’s operations. After receiving her PhD, she joined the IBM Thomas J. Watson Research Center as a Research Staff Member in 1996, where she worked on and led various projects relating to issues of software composition, morphogenic software, and aspect-oriented software development.

Method engineering External links:

Green Method Engineering Pvt. Ltd – Home | Facebook

Software quality External links:

[PDF]Software Quality Assurance Plan – US Department of …

Pillars of software quality | Microsoft Docs

Pacific NW Software Quality Conference – PNSQC

Data modeling External links:

The Difference Between Data Analysis and Data Modeling

Data modeling (Book, 1995) [WorldCat.org]

What is Data Modeling? Webopedia Definition

Piecewise Polynomial External links:

Evaluate piecewise polynomial – MATLAB ppval

[PDF]Curve fitting: piecewise polynomial interpolation …

Make piecewise polynomial – MATLAB mkpp – MathWorks

Bertrand Meyer External links:

Bertrand Meyer – Google Scholar Citations

Bertrand Meyer-Stabley | Facebook

Bertrand Meyer (@Bertrand_Meyer) | Twitter

Service-oriented architecture External links:

Microservices vs. Service-Oriented Architecture – NGINX

Service-Oriented Architecture | Coursera

Messaging Patterns in Service-Oriented Architecture, …

Metadata modeling External links:

“A metadata modeling approach to database …

Spiral model External links:

Boehm’s Spiral Model Flashcards | Quizlet

Spiral Model : Advantages and Disadvantages ~ I …

Create Spiral Model in PowerPoint Easily

Danese Cooper External links:

Danese Cooper | SCALE 16x

Danese Cooper (@DivaDanese) | Twitter

Danese Cooper – Google+

Systems modeling External links:

Water Distribution Systems Modeling using EPANET | …

[PDF]Introduction to Electrical Systems Modeling

Incremental build model External links:

Incremental Build Model – YouTube

Incremental build model – YouTube

Incremental build model by John Brock on Prezi

Executable UML External links:

University Bookstore at Texas State – Executable UML

Elevator Requirements — Executable UML (xUML)

Executable UML (xUML)

Iterative and incremental development External links:

[PDF]Iterative and Incremental Development (IID)

Iterative and incremental development – YouTube

Iterative and Incremental Development.flv – YouTube

Extreme programming External links:

What is Extreme Programming (XP)? | Agile Alliance

What is Extreme Programming? (XP) | Process Maturity | FAQ

Extreme Programming Tutorial – tutorialspoint.com

Domain of discourse External links:

domain of discourse – Wiktionary

Domain of discourse Meaning – YouTube

Computer engineering External links:

Electrical & Computer Engineering | College of Engineering

Department of Electrical & Computer Engineering …

Computer Engineering Program – City College of New York

Model-driven architecture External links:

An introduction to model-driven architecture

Model-Driven Architecture (MDA) – Gartner IT Glossary

Object-oriented programming External links:

What Is Object-Oriented Programming? – Upwork

Software quality assurance External links:

[PDF]Software Quality Assurance Plan – US Department of …

Software Quality Assurance (SQA) – Techopedia.com

15-1199.01 – Software Quality Assurance Engineers and …

Requirements analysis External links:


Introduction to Requirements Analysis | About …

[DOC]Requirements Analysis Document (RAD) – Brandeis …

Model Driven Engineering External links:

Open Source Software for Model Driven Engineering

Resources and Discussions on Model Driven Engineering

Domain-Specific Modeling External links:

20 Examples on Domain-Specific Modeling – YouTube

Introduction To Domain-Specific Modeling – YouTube

“Using a Dynamic Domain-Specific Modeling Language for …
http://via.library.depaul.edu › CDM › CDM Theses/Dissertations › 13

Ivar Jacobson External links:

Ivar Jacobson Profiles | Facebook

Ivar Jacobson International | Scaled Agile

Ivar Jacobson International | Facebook

Software archaeology External links:

Rex Widmer -RWS- Software Archaeology Computer …

Digging code: Software archaeology – TechRepublic

Software Archaeology | CSIAC

Surrogate model External links:

Demo: Exporting a Surrogate Model to GNU Octave – YouTube

Surrogate model
http://A surrogate model is an engineering method used when an outcome of interest cannot be easily directly measured, so a model of the outcome is used instead. Most engineering design problems require experiments and/or simulations to evaluate design objective and constraint functions as function of design variables.

What is Surrogate Model | IGI Global

View model External links:

My View model position for CS:GO – Steam Community


Pine View Model United Nations

Software maintenance External links:

MathWorks Software Maintenance Service – Makers of …

Software Maintenance & Support | ESHA Research

XML Metadata Interchange External links:

[PDF]XML Metadata Interchange (XMI)

About the XML Metadata Interchange Specification …

XML Metadata Interchange – revolvy.com
https://www.revolvy.com/main/index.php?s=XML Metadata Interchange

Neural network External links:

An On-device Deep Neural Network for Face Detection – …

Neural Network Console

What is the VGG neural network? – Quora

Formal methods External links:

FM 2018: Oxford 15-17 July 2018 – Formal Methods Europe

Formal Methods in Architecture – Home | Facebook

[PDF]CS 330 Formal Methods and Models – mason.gmu.edu

Computer science External links:

Computer Science Curriculum for Grades K-5 | Code.org

IT & Computer Science Degrees and Certificates | UMUC

Code.org – Learn Computer Science

International Organization for Standardization External links:

ISO-International Organization for Standardization

ISO – International Organization for Standardization

ISO – International Organization for Standardization

Metamodeling External links:

[PDF]Metamodeling – NTUA

Simulation Metamodeling with Gaussian Process: A …

[PDF]Metamodeling – University of Toronto

Capability Maturity Model Integration External links:

[PDF]Capability Maturity Model Integration (CMMI) Overview

Functional specification External links:

What Goes Into a Functional Specification? – Bridging the …

What is functional specification? – Definition from WhatIs.com

Process 2: Write the Functional Specification

Object model External links:

What is the Document Object Model? – w3.org

What is an Object Model? – Definition from Techopedia

Information model External links:

Common Building Information Model Files and Tools

[PDF]General Information Model Numbering System for …

Jail Information Model (eBook, 2006) [WorldCat.org]

Systems engineering External links:

DoD Systems Engineering – Guidance & Tools

What is Systems Engineering

Systems Engineering and Operations Research

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