SlideShare a Scribd company logo
1 of 40
DSLs and tool support for building  Tailored Code Generators Pedro J. Molina, PhD. Software Engineer Capgemini Spain | Valencia [email_address] http:// pjmolina.com/metalevel
Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Initial Context ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Main goal ,[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Problem #1 : IT Diversity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Problem #2:  Technology changes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Problem #3:  Time to Market and Costs ,[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
How to address it? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
A solution proposal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Approaches to create code generators ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
MVC ,[object Object],[object Object],[object Object],[object Object],Model View Controller ©MMX Pedro J.Molina, PhD.
Conceptual Map for  Code Generation Metamodel Model Templates Code Transformations Higher  Abstraction Level  Lower Instances  Types Code Generator ©MMX Pedro J.Molina, PhD.
Conceptual Map for CG Specification Transformation Algorithms Programs Models Classes /  Types Instances ©MMX Pedro J.Molina, PhD. Source Code Template Meta-model Reverse Engineering Abstraction Synthesis Mappings Instanciation Abstraction
DSLs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Essential ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Motivations for a new tool ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
It should be easier ©MMX Pedro J.Molina, PhD.
Metamodel ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Templates ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Control and Transformations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Tool support ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Why another tool? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Composable Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Model transformations ,[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Essential Demo ,[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Generation Settings ,[object Object],[object Object],©MMX Pedro J.Molina, PhD.
Usage Scenarios I ,[object Object],[object Object],[object Object],[object Object],[object Object],Model Generation Settings Code  Generator Code ©MMX Pedro J.Molina, PhD.
Usage Scenarios II ,[object Object],[object Object],[object Object],[object Object],Model Generation Settings Code Generator Code B Code A ©MMX Pedro J.Molina, PhD.
Usage Scenarios III ,[object Object],[object Object],[object Object],[object Object],[object Object],Abstract Model (PIM) Model  Transformation Design Model (PSM) ... ©MMX Pedro J.Molina, PhD.
Usage Scenarios IV ,[object Object],[object Object],[object Object],[object Object],Model Extraction Tool Legacy Asset ©MMX Pedro J.Molina, PhD.
Usage Scenarios V ,[object Object],[object Object],[object Object],Model A M2M Converter Model A’ Metamodel (v1) Metamodel (v2) Conforms  with Conforms  with Metamodel Evolution ©MMX Pedro J.Molina, PhD.
Usage Scenarios VI ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Model M2M Design Model M2T M2T Persistence Code Logic Code M2T Documentation ©MMX Pedro J.Molina, PhD.
Usage Scenarios VII ,[object Object],[object Object],[object Object],[object Object],[object Object],Model M2T A M2T B A Implementation B Implementation Load Test Perfor-mance Measure ©MMX Pedro J.Molina, PhD.
Usage Scenarios VIII ,[object Object],[object Object],[object Object],[object Object],[object Object],Model Naming Code M2T Named  Design Model Naming Policy Central point of change ©MMX Pedro J.Molina, PhD.
Usage Scenarios IX ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Model Compliant Code Generator Compliant  Code ©MMX Pedro J.Molina, PhD.
Usage Scenarios X ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Model Old Code Generator New Code Generator Obsolete Unsupported Technology Code Latest Super cool Technology Code Extraction Tool Legacy Code ©MMX Pedro J.Molina, PhD.
Road Map for Essential ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],©MMX Pedro J.Molina, PhD.
 
[object Object],[object Object],The Metalevel http://pjmolina.com/metalevel http:// pjmolina.com/metalevel/essential ©MMX Pedro J.Molina, PhD.

More Related Content

What's hot

Low-code vs Model-Driven Engineering
Low-code vs Model-Driven EngineeringLow-code vs Model-Driven Engineering
Low-code vs Model-Driven EngineeringJordi Cabot
 
Model-Driven Software Development
Model-Driven Software DevelopmentModel-Driven Software Development
Model-Driven Software Developmentelliando dias
 
Transforming a 15 year old model-driven application from C++ to Java
Transforming a 15 year old model-driven application from C++ to JavaTransforming a 15 year old model-driven application from C++ to Java
Transforming a 15 year old model-driven application from C++ to JavaEric Malotaux
 
Making Model-Driven Verification Practical and Scalable: Experiences and Less...
Making Model-Driven Verification Practical and Scalable: Experiences and Less...Making Model-Driven Verification Practical and Scalable: Experiences and Less...
Making Model-Driven Verification Practical and Scalable: Experiences and Less...Lionel Briand
 
Future Trends on Software and Systems Modeling
Future Trends on Software and Systems ModelingFuture Trends on Software and Systems Modeling
Future Trends on Software and Systems ModelingJordi Cabot
 
Model-Driven Software Engineering in Practice - Chapter 4 - Model-Driven Arch...
Model-Driven Software Engineering in Practice - Chapter 4 - Model-Driven Arch...Model-Driven Software Engineering in Practice - Chapter 4 - Model-Driven Arch...
Model-Driven Software Engineering in Practice - Chapter 4 - Model-Driven Arch...Jordi Cabot
 
From MDE to SLE (April 17th, 2015)
From MDE to SLE (April 17th, 2015)From MDE to SLE (April 17th, 2015)
From MDE to SLE (April 17th, 2015)Benoit Combemale
 
Introduction to architectures based on models, models and metamodels. model d...
Introduction to architectures based on models, models and metamodels. model d...Introduction to architectures based on models, models and metamodels. model d...
Introduction to architectures based on models, models and metamodels. model d...Vicente García Díaz
 
Model driven software engineering in practice book - Chapter 9 - Model to tex...
Model driven software engineering in practice book - Chapter 9 - Model to tex...Model driven software engineering in practice book - Chapter 9 - Model to tex...
Model driven software engineering in practice book - Chapter 9 - Model to tex...Marco Brambilla
 
Modelling and code generation in .NET at Icinetic
Modelling and code generation in .NET at IcineticModelling and code generation in .NET at Icinetic
Modelling and code generation in .NET at IcineticPedro J. Molina
 
Model-Driven Software Engineering in Practice - Chapter 8 - Model-to-model tr...
Model-Driven Software Engineering in Practice - Chapter 8 - Model-to-model tr...Model-Driven Software Engineering in Practice - Chapter 8 - Model-to-model tr...
Model-Driven Software Engineering in Practice - Chapter 8 - Model-to-model tr...Jordi Cabot
 
Cognifying model-driven software engineering
Cognifying model-driven software engineeringCognifying model-driven software engineering
Cognifying model-driven software engineeringJordi Cabot
 
Ashutosh jaimini resume
Ashutosh jaimini resumeAshutosh jaimini resume
Ashutosh jaimini resumerit2007062
 
Model-driven Software Engineering in practice: Chapter 3 - MDSE Use cases
Model-driven Software Engineering in practice: Chapter 3 - MDSE Use casesModel-driven Software Engineering in practice: Chapter 3 - MDSE Use cases
Model-driven Software Engineering in practice: Chapter 3 - MDSE Use casesJordi Cabot
 
视觉效果制作行业的工业语言——Python
视觉效果制作行业的工业语言——Python视觉效果制作行业的工业语言——Python
视觉效果制作行业的工业语言——PythonWill Zhou
 
Model-Driven Software Engineering in Practice - Chapter 2 - MDSE Principles
Model-Driven Software Engineering in Practice - Chapter 2 - MDSE PrinciplesModel-Driven Software Engineering in Practice - Chapter 2 - MDSE Principles
Model-Driven Software Engineering in Practice - Chapter 2 - MDSE PrinciplesMarco Brambilla
 
A UML profile for OData Web APIs
A UML profile for OData Web APIsA UML profile for OData Web APIs
A UML profile for OData Web APIsJordi Cabot
 

What's hot (19)

Low-code vs Model-Driven Engineering
Low-code vs Model-Driven EngineeringLow-code vs Model-Driven Engineering
Low-code vs Model-Driven Engineering
 
Model-Driven Software Development
Model-Driven Software DevelopmentModel-Driven Software Development
Model-Driven Software Development
 
Transforming a 15 year old model-driven application from C++ to Java
Transforming a 15 year old model-driven application from C++ to JavaTransforming a 15 year old model-driven application from C++ to Java
Transforming a 15 year old model-driven application from C++ to Java
 
Making Model-Driven Verification Practical and Scalable: Experiences and Less...
Making Model-Driven Verification Practical and Scalable: Experiences and Less...Making Model-Driven Verification Practical and Scalable: Experiences and Less...
Making Model-Driven Verification Practical and Scalable: Experiences and Less...
 
Future Trends on Software and Systems Modeling
Future Trends on Software and Systems ModelingFuture Trends on Software and Systems Modeling
Future Trends on Software and Systems Modeling
 
Model-Driven Software Engineering in Practice - Chapter 4 - Model-Driven Arch...
Model-Driven Software Engineering in Practice - Chapter 4 - Model-Driven Arch...Model-Driven Software Engineering in Practice - Chapter 4 - Model-Driven Arch...
Model-Driven Software Engineering in Practice - Chapter 4 - Model-Driven Arch...
 
From MDE to SLE (April 17th, 2015)
From MDE to SLE (April 17th, 2015)From MDE to SLE (April 17th, 2015)
From MDE to SLE (April 17th, 2015)
 
Introduction to architectures based on models, models and metamodels. model d...
Introduction to architectures based on models, models and metamodels. model d...Introduction to architectures based on models, models and metamodels. model d...
Introduction to architectures based on models, models and metamodels. model d...
 
Model driven software engineering in practice book - Chapter 9 - Model to tex...
Model driven software engineering in practice book - Chapter 9 - Model to tex...Model driven software engineering in practice book - Chapter 9 - Model to tex...
Model driven software engineering in practice book - Chapter 9 - Model to tex...
 
01 mde principles
01 mde principles01 mde principles
01 mde principles
 
Outsourcing Internationalization (i18n) Services
Outsourcing Internationalization (i18n) ServicesOutsourcing Internationalization (i18n) Services
Outsourcing Internationalization (i18n) Services
 
Modelling and code generation in .NET at Icinetic
Modelling and code generation in .NET at IcineticModelling and code generation in .NET at Icinetic
Modelling and code generation in .NET at Icinetic
 
Model-Driven Software Engineering in Practice - Chapter 8 - Model-to-model tr...
Model-Driven Software Engineering in Practice - Chapter 8 - Model-to-model tr...Model-Driven Software Engineering in Practice - Chapter 8 - Model-to-model tr...
Model-Driven Software Engineering in Practice - Chapter 8 - Model-to-model tr...
 
Cognifying model-driven software engineering
Cognifying model-driven software engineeringCognifying model-driven software engineering
Cognifying model-driven software engineering
 
Ashutosh jaimini resume
Ashutosh jaimini resumeAshutosh jaimini resume
Ashutosh jaimini resume
 
Model-driven Software Engineering in practice: Chapter 3 - MDSE Use cases
Model-driven Software Engineering in practice: Chapter 3 - MDSE Use casesModel-driven Software Engineering in practice: Chapter 3 - MDSE Use cases
Model-driven Software Engineering in practice: Chapter 3 - MDSE Use cases
 
视觉效果制作行业的工业语言——Python
视觉效果制作行业的工业语言——Python视觉效果制作行业的工业语言——Python
视觉效果制作行业的工业语言——Python
 
Model-Driven Software Engineering in Practice - Chapter 2 - MDSE Principles
Model-Driven Software Engineering in Practice - Chapter 2 - MDSE PrinciplesModel-Driven Software Engineering in Practice - Chapter 2 - MDSE Principles
Model-Driven Software Engineering in Practice - Chapter 2 - MDSE Principles
 
A UML profile for OData Web APIs
A UML profile for OData Web APIsA UML profile for OData Web APIs
A UML profile for OData Web APIs
 

Viewers also liked

Multichannel User Interfaces
Multichannel User InterfacesMultichannel User Interfaces
Multichannel User InterfacesPedro J. Molina
 
Introducción a StackOverflow
Introducción a StackOverflowIntroducción a StackOverflow
Introducción a StackOverflowPedro J. Molina
 
Hivepod: Casos de uso en OpenData
Hivepod: Casos de uso en OpenDataHivepod: Casos de uso en OpenData
Hivepod: Casos de uso en OpenDataPedro J. Molina
 
Modeling and Code Generation in the Cloud for Citizen Developers and Beyond
Modeling and Code Generation in the Cloud for Citizen Developers and BeyondModeling and Code Generation in the Cloud for Citizen Developers and Beyond
Modeling and Code Generation in the Cloud for Citizen Developers and BeyondPedro J. Molina
 
Scaling MDD for production: enabling SoC at model time
Scaling MDD for production: enabling SoC at model timeScaling MDD for production: enabling SoC at model time
Scaling MDD for production: enabling SoC at model timePedro J. Molina
 
MDD: Models, frameworks, & code generation
MDD: Models, frameworks, & code generationMDD: Models, frameworks, & code generation
MDD: Models, frameworks, & code generationPedro J. Molina
 
SVQDC 2017 Tecnologías para Microservicios
SVQDC 2017 Tecnologías para MicroserviciosSVQDC 2017 Tecnologías para Microservicios
SVQDC 2017 Tecnologías para MicroserviciosPedro J. Molina
 
Microservicios sobre MEAN Stack
Microservicios sobre MEAN StackMicroservicios sobre MEAN Stack
Microservicios sobre MEAN StackPedro J. Molina
 
Tecnologías para microservicios
Tecnologías para microserviciosTecnologías para microservicios
Tecnologías para microserviciosPedro J. Molina
 
Modelling the User Interface
Modelling the User InterfaceModelling the User Interface
Modelling the User InterfacePedro J. Molina
 
Code Generation for Conceptual User Interface Patterns
Code Generation for Conceptual User Interface PatternsCode Generation for Conceptual User Interface Patterns
Code Generation for Conceptual User Interface PatternsPedro J. Molina
 
The PISA Project: a MDD case study
The PISA Project: a MDD case studyThe PISA Project: a MDD case study
The PISA Project: a MDD case studyPedro J. Molina
 
Opensouthcode: Microservicios sobre MEAN Stack
Opensouthcode: Microservicios sobre MEAN StackOpensouthcode: Microservicios sobre MEAN Stack
Opensouthcode: Microservicios sobre MEAN StackPedro J. Molina
 
MDD - Desarrollo de software dirigido por modelos que funciona (de verdad!)
MDD - Desarrollo de software dirigido por modelos que funciona (de verdad!)MDD - Desarrollo de software dirigido por modelos que funciona (de verdad!)
MDD - Desarrollo de software dirigido por modelos que funciona (de verdad!)Jordi Cabot
 

Viewers also liked (16)

Multichannel User Interfaces
Multichannel User InterfacesMultichannel User Interfaces
Multichannel User Interfaces
 
Introducción a StackOverflow
Introducción a StackOverflowIntroducción a StackOverflow
Introducción a StackOverflow
 
Hivepod: Casos de uso en OpenData
Hivepod: Casos de uso en OpenDataHivepod: Casos de uso en OpenData
Hivepod: Casos de uso en OpenData
 
Modeling and Code Generation in the Cloud for Citizen Developers and Beyond
Modeling and Code Generation in the Cloud for Citizen Developers and BeyondModeling and Code Generation in the Cloud for Citizen Developers and Beyond
Modeling and Code Generation in the Cloud for Citizen Developers and Beyond
 
TDD+CI con Teamcity
TDD+CI con TeamcityTDD+CI con Teamcity
TDD+CI con Teamcity
 
Scaling MDD for production: enabling SoC at model time
Scaling MDD for production: enabling SoC at model timeScaling MDD for production: enabling SoC at model time
Scaling MDD for production: enabling SoC at model time
 
MDD: Models, frameworks, & code generation
MDD: Models, frameworks, & code generationMDD: Models, frameworks, & code generation
MDD: Models, frameworks, & code generation
 
SVQDC 2017 Tecnologías para Microservicios
SVQDC 2017 Tecnologías para MicroserviciosSVQDC 2017 Tecnologías para Microservicios
SVQDC 2017 Tecnologías para Microservicios
 
Microservicios sobre MEAN Stack
Microservicios sobre MEAN StackMicroservicios sobre MEAN Stack
Microservicios sobre MEAN Stack
 
Tecnologías para microservicios
Tecnologías para microserviciosTecnologías para microservicios
Tecnologías para microservicios
 
Modelling the User Interface
Modelling the User InterfaceModelling the User Interface
Modelling the User Interface
 
Code Generation for Conceptual User Interface Patterns
Code Generation for Conceptual User Interface PatternsCode Generation for Conceptual User Interface Patterns
Code Generation for Conceptual User Interface Patterns
 
The PISA Project: a MDD case study
The PISA Project: a MDD case studyThe PISA Project: a MDD case study
The PISA Project: a MDD case study
 
Opensouthcode: Microservicios sobre MEAN Stack
Opensouthcode: Microservicios sobre MEAN StackOpensouthcode: Microservicios sobre MEAN Stack
Opensouthcode: Microservicios sobre MEAN Stack
 
Introducción a Angular
Introducción a AngularIntroducción a Angular
Introducción a Angular
 
MDD - Desarrollo de software dirigido por modelos que funciona (de verdad!)
MDD - Desarrollo de software dirigido por modelos que funciona (de verdad!)MDD - Desarrollo de software dirigido por modelos que funciona (de verdad!)
MDD - Desarrollo de software dirigido por modelos que funciona (de verdad!)
 

Similar to CG2010 Tailored Code Generators

Large Language Models Bootcamp
Large Language Models BootcampLarge Language Models Bootcamp
Large Language Models BootcampData Science Dojo
 
ACM SIGCHI EICS-2019 Keynote. Quid, Pedro J. Molina
ACM SIGCHI EICS-2019 Keynote. Quid, Pedro J. MolinaACM SIGCHI EICS-2019 Keynote. Quid, Pedro J. Molina
ACM SIGCHI EICS-2019 Keynote. Quid, Pedro J. MolinaPedro J. Molina
 
PHP modernization approach generating KDM models from PHP legacy code
PHP modernization approach generating KDM models from PHP legacy codePHP modernization approach generating KDM models from PHP legacy code
PHP modernization approach generating KDM models from PHP legacy codejournalBEEI
 
Montek learning solutions
Montek learning solutionsMontek learning solutions
Montek learning solutionsMontek1Learning
 
Montek learning solutions
Montek learning solutionsMontek learning solutions
Montek learning solutionsMontek1Learning
 
Our research lines on Model-Driven Engineering and Software Engineering
Our research lines on Model-Driven Engineering and Software EngineeringOur research lines on Model-Driven Engineering and Software Engineering
Our research lines on Model-Driven Engineering and Software EngineeringJordi Cabot
 
A Lightweight MDD Process Applied in Small Projects
A Lightweight MDD Process Applied in Small ProjectsA Lightweight MDD Process Applied in Small Projects
A Lightweight MDD Process Applied in Small ProjectsGabor Guta
 
Martin Farrow - Resume.2
Martin Farrow - Resume.2Martin Farrow - Resume.2
Martin Farrow - Resume.2Martin Farrow
 
Eng Cal Reduced1
Eng Cal Reduced1Eng Cal Reduced1
Eng Cal Reduced1rtmote
 
5 challenges of scaling l10n workflows KantanMT/bmmt webinar
5 challenges of scaling l10n workflows KantanMT/bmmt webinar5 challenges of scaling l10n workflows KantanMT/bmmt webinar
5 challenges of scaling l10n workflows KantanMT/bmmt webinarkantanmt
 
Managing Complexity and Change with Scalable Software Design
Managing Complexity and Change with Scalable Software DesignManaging Complexity and Change with Scalable Software Design
Managing Complexity and Change with Scalable Software Designlbergmans
 
Martin Farrow - Resume.2
Martin Farrow - Resume.2Martin Farrow - Resume.2
Martin Farrow - Resume.2Martin Farrow
 
MEL_WOLINSKY_20170124
MEL_WOLINSKY_20170124MEL_WOLINSKY_20170124
MEL_WOLINSKY_20170124Mel Wolinsky
 
Spreadsheets are models too - Richard Paige at Sems 2014
Spreadsheets are models too - Richard Paige at Sems 2014Spreadsheets are models too - Richard Paige at Sems 2014
Spreadsheets are models too - Richard Paige at Sems 2014semsworkshop
 
Software development effort reduction with Co-op
Software development effort reduction with Co-opSoftware development effort reduction with Co-op
Software development effort reduction with Co-oplbergmans
 
MODELS2013_MDHPCL_Presentation
MODELS2013_MDHPCL_PresentationMODELS2013_MDHPCL_Presentation
MODELS2013_MDHPCL_PresentationDionny Santiago
 

Similar to CG2010 Tailored Code Generators (20)

Large Language Models Bootcamp
Large Language Models BootcampLarge Language Models Bootcamp
Large Language Models Bootcamp
 
ACM SIGCHI EICS-2019 Keynote. Quid, Pedro J. Molina
ACM SIGCHI EICS-2019 Keynote. Quid, Pedro J. MolinaACM SIGCHI EICS-2019 Keynote. Quid, Pedro J. Molina
ACM SIGCHI EICS-2019 Keynote. Quid, Pedro J. Molina
 
PHP modernization approach generating KDM models from PHP legacy code
PHP modernization approach generating KDM models from PHP legacy codePHP modernization approach generating KDM models from PHP legacy code
PHP modernization approach generating KDM models from PHP legacy code
 
Montek learning solutions
Montek learning solutionsMontek learning solutions
Montek learning solutions
 
Montek learning solutions
Montek learning solutionsMontek learning solutions
Montek learning solutions
 
Our research lines on Model-Driven Engineering and Software Engineering
Our research lines on Model-Driven Engineering and Software EngineeringOur research lines on Model-Driven Engineering and Software Engineering
Our research lines on Model-Driven Engineering and Software Engineering
 
A Lightweight MDD Process Applied in Small Projects
A Lightweight MDD Process Applied in Small ProjectsA Lightweight MDD Process Applied in Small Projects
A Lightweight MDD Process Applied in Small Projects
 
Martin Farrow - Resume.2
Martin Farrow - Resume.2Martin Farrow - Resume.2
Martin Farrow - Resume.2
 
Eng Cal Reduced1
Eng Cal Reduced1Eng Cal Reduced1
Eng Cal Reduced1
 
5 challenges of scaling l10n workflows KantanMT/bmmt webinar
5 challenges of scaling l10n workflows KantanMT/bmmt webinar5 challenges of scaling l10n workflows KantanMT/bmmt webinar
5 challenges of scaling l10n workflows KantanMT/bmmt webinar
 
Managing Complexity and Change with Scalable Software Design
Managing Complexity and Change with Scalable Software DesignManaging Complexity and Change with Scalable Software Design
Managing Complexity and Change with Scalable Software Design
 
cv_francisco.ruiz_en
cv_francisco.ruiz_encv_francisco.ruiz_en
cv_francisco.ruiz_en
 
Martin Farrow - Resume.2
Martin Farrow - Resume.2Martin Farrow - Resume.2
Martin Farrow - Resume.2
 
Final Jspring2009 Mda Slimmer Ontwikkelen Van Java Ee Applicaties
Final Jspring2009 Mda Slimmer Ontwikkelen Van Java Ee ApplicatiesFinal Jspring2009 Mda Slimmer Ontwikkelen Van Java Ee Applicaties
Final Jspring2009 Mda Slimmer Ontwikkelen Van Java Ee Applicaties
 
MEL_WOLINSKY_20170124
MEL_WOLINSKY_20170124MEL_WOLINSKY_20170124
MEL_WOLINSKY_20170124
 
Resume
ResumeResume
Resume
 
Spreadsheets are models too - Richard Paige at Sems 2014
Spreadsheets are models too - Richard Paige at Sems 2014Spreadsheets are models too - Richard Paige at Sems 2014
Spreadsheets are models too - Richard Paige at Sems 2014
 
SalmaCV
SalmaCVSalmaCV
SalmaCV
 
Software development effort reduction with Co-op
Software development effort reduction with Co-opSoftware development effort reduction with Co-op
Software development effort reduction with Co-op
 
MODELS2013_MDHPCL_Presentation
MODELS2013_MDHPCL_PresentationMODELS2013_MDHPCL_Presentation
MODELS2013_MDHPCL_Presentation
 

More from Pedro J. Molina

dotnetMalaga-2020 Gestión de la configuración en aplicaciones Web
dotnetMalaga-2020 Gestión de la configuración en aplicaciones WebdotnetMalaga-2020 Gestión de la configuración en aplicaciones Web
dotnetMalaga-2020 Gestión de la configuración en aplicaciones WebPedro J. Molina
 
Infrastructure as Code with Terraform
Infrastructure as Code with TerraformInfrastructure as Code with Terraform
Infrastructure as Code with TerraformPedro J. Molina
 
LangDev 2022 Metamodeling on the Web with Essential
LangDev 2022 Metamodeling on the Web with EssentialLangDev 2022 Metamodeling on the Web with Essential
LangDev 2022 Metamodeling on the Web with EssentialPedro J. Molina
 
Essential as the base for Web DSLs
Essential as the base for Web DSLsEssential as the base for Web DSLs
Essential as the base for Web DSLsPedro J. Molina
 
Esencia de Web Components
Esencia de Web ComponentsEsencia de Web Components
Esencia de Web ComponentsPedro J. Molina
 
Esencia de web components
Esencia de web componentsEsencia de web components
Esencia de web componentsPedro J. Molina
 
Securizando por construcción mediante MDE
Securizando por construcción mediante MDESecurizando por construcción mediante MDE
Securizando por construcción mediante MDEPedro J. Molina
 
Building APIs with the OpenApi Spec
Building APIs with the OpenApi SpecBuilding APIs with the OpenApi Spec
Building APIs with the OpenApi SpecPedro J. Molina
 
Micro vs Nano (servicios)
Micro vs Nano (servicios)Micro vs Nano (servicios)
Micro vs Nano (servicios)Pedro J. Molina
 
Diseño de APIs con OpenAPI
Diseño de APIs con OpenAPIDiseño de APIs con OpenAPI
Diseño de APIs con OpenAPIPedro J. Molina
 

More from Pedro J. Molina (16)

MDE en la industria
MDE en la industriaMDE en la industria
MDE en la industria
 
Terraform
TerraformTerraform
Terraform
 
dotnetMalaga-2020 Gestión de la configuración en aplicaciones Web
dotnetMalaga-2020 Gestión de la configuración en aplicaciones WebdotnetMalaga-2020 Gestión de la configuración en aplicaciones Web
dotnetMalaga-2020 Gestión de la configuración en aplicaciones Web
 
Infrastructure as Code with Terraform
Infrastructure as Code with TerraformInfrastructure as Code with Terraform
Infrastructure as Code with Terraform
 
LangDev 2022 Metamodeling on the Web with Essential
LangDev 2022 Metamodeling on the Web with EssentialLangDev 2022 Metamodeling on the Web with Essential
LangDev 2022 Metamodeling on the Web with Essential
 
Are Startups for me?
Are Startups for me?Are Startups for me?
Are Startups for me?
 
Meow Demo
Meow DemoMeow Demo
Meow Demo
 
Essential as the base for Web DSLs
Essential as the base for Web DSLsEssential as the base for Web DSLs
Essential as the base for Web DSLs
 
Esencia de Web Components
Esencia de Web ComponentsEsencia de Web Components
Esencia de Web Components
 
Esencia de web components
Esencia de web componentsEsencia de web components
Esencia de web components
 
OpenAPI 3.0.2
OpenAPI 3.0.2OpenAPI 3.0.2
OpenAPI 3.0.2
 
Quid
QuidQuid
Quid
 
Securizando por construcción mediante MDE
Securizando por construcción mediante MDESecurizando por construcción mediante MDE
Securizando por construcción mediante MDE
 
Building APIs with the OpenApi Spec
Building APIs with the OpenApi SpecBuilding APIs with the OpenApi Spec
Building APIs with the OpenApi Spec
 
Micro vs Nano (servicios)
Micro vs Nano (servicios)Micro vs Nano (servicios)
Micro vs Nano (servicios)
 
Diseño de APIs con OpenAPI
Diseño de APIs con OpenAPIDiseño de APIs con OpenAPI
Diseño de APIs con OpenAPI
 

Recently uploaded

The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 

Recently uploaded (20)

The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 

CG2010 Tailored Code Generators

  • 1. DSLs and tool support for building Tailored Code Generators Pedro J. Molina, PhD. Software Engineer Capgemini Spain | Valencia [email_address] http:// pjmolina.com/metalevel
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Conceptual Map for Code Generation Metamodel Model Templates Code Transformations Higher Abstraction Level Lower Instances Types Code Generator ©MMX Pedro J.Molina, PhD.
  • 13. Conceptual Map for CG Specification Transformation Algorithms Programs Models Classes / Types Instances ©MMX Pedro J.Molina, PhD. Source Code Template Meta-model Reverse Engineering Abstraction Synthesis Mappings Instanciation Abstraction
  • 14.
  • 15.
  • 16.
  • 17. It should be easier ©MMX Pedro J.Molina, PhD.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.  
  • 40.