The document discusses the principles of clean architecture. It states that clean architecture aims to minimize human effort required to build and maintain software systems. It emphasizes that the core of an application should be its use cases rather than technical details like databases or frameworks. The architecture should clearly communicate the intent of the system. It also notes that dependencies should flow inward from outer layers like interfaces to inner layers containing core business logic and entities.
The document discusses Clean Architecture, an architectural pattern for software design. It aims to facilitate maintainability, technical agility, and independent development. Clean Architecture prescribes separating an application into distinct layers - entities, use cases, interfaces, and entry points. This separation aims to make codebases independent of frameworks and easily testable. The document outlines principles like SOLID and DRY, and patterns like layered architecture and MVC that influence Clean Architecture. It provides tips for migrating existing applications to this architecture.
This document discusses clean architecture principles for mobile applications. It describes common iOS code smells like god view controllers and tightly coupled code. The document introduces SOLID principles to improve code quality and testability. It then outlines architectural layers including entities, use cases, interface adapters, and frameworks. The layers are arranged based on the dependency rule, where inner layers do not depend on outer ones. Specific patterns like MVC, MVP, MVVM, VIPER and repositories are presented for each layer. The document emphasizes designing applications that are decoupled from frameworks and user interfaces to improve reusability and flexibility.
Introducing Android Architecture
If you would like to view the related sample codes, you can refer to link below:
https://github.com/ZahraHeydari/ArtGallery
Over the last year there has been a lot of buzz about Clean Architecture in the Android community, but what is Clean Architecture? How does it work? And should I be using it? Recently at Badoo we decided to rewrite our messenger component.
Over the years this core piece of functionality in our app has become large and unwieldy. We wanted to take a fresh approach to try and prevent this from happening again. We choose to use Clean Architecture to achieve our goal. This talk intends to share our journey from theory to implementation in an application with over 100 million downloads. By the end, you should not only understand what Clean Architecture is, but how to implement it, and whether you should.
This document discusses clean architecture, which aims to separate an application into distinct layers. The core application logic is separated from the user interface and database access. This improves testability and flexibility. Some benefits of clean architecture include excellent testability since each component can be tested in isolation, clearly defined separation of concerns, and flexibility to change parts of the application independently. However, there are also costs like increased complexity with more classes and data conversions between layers.
The theory of SOLID principles was
introduced by Robert C. Martin in his 2000
paper “Design Principles and Design
Patterns”.
SOLID => Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion.
ITkonekt 2019 | Robert C. Martin (Uncle Bob), Clean Architecture and DesignErginBilgin3
The document discusses software architecture and principles of good architecture. It notes that architecture is about intent, and that a good architecture allows major decisions to be deferred. The document advocates for isolating the database as a detail, and using use cases, interactors, and entities with defined boundaries. It also discusses that MVC is a delivery pattern, not an architecture, and how MVC can go wrong as a web architecture. The final sentences thank the audience and provide contact information for Robert C. Martin.
The document discusses the principles of clean architecture. It states that clean architecture aims to minimize human effort required to build and maintain software systems. It emphasizes that the core of an application should be its use cases rather than technical details like databases or frameworks. The architecture should clearly communicate the intent of the system. It also notes that dependencies should flow inward from outer layers like interfaces to inner layers containing core business logic and entities.
The document discusses Clean Architecture, an architectural pattern for software design. It aims to facilitate maintainability, technical agility, and independent development. Clean Architecture prescribes separating an application into distinct layers - entities, use cases, interfaces, and entry points. This separation aims to make codebases independent of frameworks and easily testable. The document outlines principles like SOLID and DRY, and patterns like layered architecture and MVC that influence Clean Architecture. It provides tips for migrating existing applications to this architecture.
This document discusses clean architecture principles for mobile applications. It describes common iOS code smells like god view controllers and tightly coupled code. The document introduces SOLID principles to improve code quality and testability. It then outlines architectural layers including entities, use cases, interface adapters, and frameworks. The layers are arranged based on the dependency rule, where inner layers do not depend on outer ones. Specific patterns like MVC, MVP, MVVM, VIPER and repositories are presented for each layer. The document emphasizes designing applications that are decoupled from frameworks and user interfaces to improve reusability and flexibility.
Introducing Android Architecture
If you would like to view the related sample codes, you can refer to link below:
https://github.com/ZahraHeydari/ArtGallery
Over the last year there has been a lot of buzz about Clean Architecture in the Android community, but what is Clean Architecture? How does it work? And should I be using it? Recently at Badoo we decided to rewrite our messenger component.
Over the years this core piece of functionality in our app has become large and unwieldy. We wanted to take a fresh approach to try and prevent this from happening again. We choose to use Clean Architecture to achieve our goal. This talk intends to share our journey from theory to implementation in an application with over 100 million downloads. By the end, you should not only understand what Clean Architecture is, but how to implement it, and whether you should.
This document discusses clean architecture, which aims to separate an application into distinct layers. The core application logic is separated from the user interface and database access. This improves testability and flexibility. Some benefits of clean architecture include excellent testability since each component can be tested in isolation, clearly defined separation of concerns, and flexibility to change parts of the application independently. However, there are also costs like increased complexity with more classes and data conversions between layers.
The theory of SOLID principles was
introduced by Robert C. Martin in his 2000
paper “Design Principles and Design
Patterns”.
SOLID => Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion.
ITkonekt 2019 | Robert C. Martin (Uncle Bob), Clean Architecture and DesignErginBilgin3
The document discusses software architecture and principles of good architecture. It notes that architecture is about intent, and that a good architecture allows major decisions to be deferred. The document advocates for isolating the database as a detail, and using use cases, interactors, and entities with defined boundaries. It also discusses that MVC is a delivery pattern, not an architecture, and how MVC can go wrong as a web architecture. The final sentences thank the audience and provide contact information for Robert C. Martin.
2012 the clean architecture by Uncle bob GEORGE LEON
The document discusses the Clean Architecture, which separates a software system into concentric circles or layers to achieve separation of concerns. The inner circles contain general high-level business rules and logic, while the outer circles contain mechanisms and frameworks. The key rule is that dependencies can only point inward - outer layers cannot depend on inner layers. This allows the system to be independent of frameworks, testable without external elements, and independent of interfaces like the UI or database. Data crossing boundaries is simplified to avoid dependencies between layers. Adhering to these principles creates a system that is intrinsically testable and able to replace obsolete external parts with minimal effort.
This document discusses the SOLID principles of object-oriented design:
- The Single Responsibility Principle states that a class should have one, and only one, reason to change.
- The Open/Closed Principle specifies that software entities should be open for extension but closed for modification.
- The Liskov Substitution Principle dictates that subclasses should behave in the same way as their parent classes.
- The Interface Segregation Principle indicates that client classes should not depend on interfaces they do not use.
- The Dependency Inversion Principle asserts that high-level modules should not depend on low-level modules, but both should depend on abstractions.
The presentation provides examples of
The document discusses the SOLID principles of object-oriented design:
1. The Single Responsibility Principle states that a class should have one, and only one, reason to change.
2. The Open-Closed Principle states that software entities should be open for extension but closed for modification. Behavior is changed through inheritance and composition rather than direct modification.
3. The Liskov Substitution Principle states that subclasses must behave in the same way as the base class so that the base class can be substituted wherever the subclass is expected.
4. The Interface Segregation Principle states that interfaces should be small and focused so that client classes do not depend on methods they do not use.
Clean architecture - Protecting the DomainVictor Rentea
The goal of architecture is to simplify the most complex parts of your logic. Any other goal should be secondary to this. The problem is that you can’t always anticipate where the complexity of your application will accumulate, especially when confronted with ever-changing requirements. The only way to keep your code simple is to gradually evolve the architecture without adding useless complexity up front, but always looking out for opportunities to break-down and refactor towards the most simple design that solves the problem. Drawing concepts from the Domain-Driven Development mindset, this talk summarizes the most important lessons learned designing and consulting many real-world projects. Along the way, you’ll hear about Value Objects and Entities, DTOs, Dependency Inversion Principle, Facades, the Onion Architecture and many pragmatic tips and tricks immediately applicable to your day-to-day work.
Lieven DOCLO gave a presentation on implementing Clean Architecture. Clean Architecture advocates separating domains, applications, and interfaces into separate layers. This allows the inner layers to be independent of the outer layers and frameworks. The presentation demonstrated creating building-related use cases and domain models, implementing repositories, and exposing use cases through REST endpoints. It discussed issues like decoupling tradeoffs, pragmatic compromises, and applying Clean Architecture to legacy projects.
There's another talk about Clean Architecture, SOLID, and our approach at InfoJobs. If you need the slides, don't hesitate to fork https://github.com/schibsted-android-training/workshop-5
Clean Architecture Essentials - Stockholm Software CraftsmanshipIvan Paulovich
About the talk:
Software Architecture is not about picking frameworks then gluing the pieces together! Let's dig into a software implementation designed to support the use cases, we will learn how to make the use cases a standalone component and see how a good architecture allows major decisions to be deferred. We will discuss component coupling and cohesion during the development timeline. Is your application architecture a Web Application? Are your tests taking too long to run? You will learn how to make the delivery mechanism an irrelevant and testable detail.
About the speaker:
Ivan Paulovich is an Agile .NET developer that enjoy solutions based on use cases and decoupled from technology details. Active on GitHub he supports OSS about Domain-Driven Design, TDD, Event Sourcing, CQRS, SOLID and Microservices. Microsoft MVP Reconnect. Checkout @ivanpaulovich on GitHub.
SOLID Principles and The Clean ArchitectureMohamed Galal
This presentation is held at @blablaconnect Cairo office, Monday 31 December 2018.
In this presentation we will discuss the following topics:
- SOLID principles.
- Design Pattern vs. Clean Architecture.
- Successful software architecture characteristics.
- The Clean Architecture.
- Real life example.
The document discusses Clean Architecture, an approach for building maintainable and testable code. It presents four main principles: 1) limit dependencies between modules, 2) introduce boundaries between modules, 3) have dependencies point towards abstractions, and 4) inject dependencies. The architecture separates entities, business rules, use cases, interfaces, and drivers/frameworks. This independent, layered structure makes the code independent of frameworks and databases, and easier to maintain and evolve over time.
Object Oriented Programming Concepts for beginners Vibhawa Nirmal
This document provides an introduction to object-oriented programming concepts. It defines object-oriented programming as a paradigm based on implementing real-world entities like objects and classes. The main benefits of OOP are reusability of code, flexibility, and increased maintainability, though it can be more complex to plan. Key concepts explained include classes, which provide blueprints for creating objects with states and behaviors. Inheritance allows classes to inherit attributes and methods from super classes. Other concepts are encapsulation, which binds code and variables together; abstraction, which hides unnecessary details; and polymorphism, which allows single actions to be performed in different ways.
This document provides an introduction to domain-driven design (DDD). It defines DDD as an approach where the application's domain model reflects the real business domain and core domain is the primary focus. It discusses DDD principles like ubiquitous language, domain encapsulation, and technical simplicity. The benefits of DDD include improved communication through a shared language, a modular and extensible domain model, and the domain rules and logic being encapsulated in one place.
The document discusses the SOLID principles of object-oriented design, which are Single Responsibility Principle, Open Closed Principle, Liskov Substitution Principle, Interface Segregation Principle, and Dependency Inversion Principle. For each principle, it provides an example of how to apply the principle correctly and how violations of the principle can occur if it is not followed. It also lists some recommended reading materials on software design patterns and principles.
The Art of Unit Testing - Towards a Testable DesignVictor Rentea
Slides of the Talk I gave at Devoxx Belgium 2019.
=== Abstract ===
Focusing on the creative work without being terrified of breaking the existing behavior can make software development very addictive! Good automated tests can buy you that!
However, if your tests are not maintainable they may end up slowing you down and causing you painful headaches, compilation errors and spurious failures. To avoid that, your unit tests should be significant; expressive; clean; DRY; non-overlapping; and blazing fast. Writing good tests becomes the toughest challenge for any developer, no matter how battle-hardened: you need to balance risk with test maintenance costs, while looking out for test design smells that call for [risky] refactoring to drive your design towards a set of key principles (included:).
Principles that will end up shaping the way you craft the Production code itself. Because in the end, a good, clean design is more important than coverage%.
But testing gives you the best feedback to get there.
Grab a black coffee and join this snippet from Victor’s Pro Unit Testing #training, to learn about testing priorities, buggy tests, the shared @Before, Mocks vs Stubs and how to reduce them by "purifying" your logic, testing Legacy Code and refactoring @Spy-es out.
All of that in an entertaining, dynamic and memorable session.
A Practical Guide to Domain Driven Design: Presentation Slidesthinkddd
Tonight I presented on Domain Driven Design to the Alt.Net group in Sydney at the invite of Richard Banks.
As a follow up, attached are the slides I used, feel free to distribute and use on the Creative Commons Licence
This document provides an overview of functional programming concepts including:
- Functional programming focuses on immutable data and treating computation as mathematical functions. It emphasizes eliminating side effects.
- Key concepts include first-class functions, higher-order functions, pure functions, recursion, currying, and pattern matching.
- Functional programming languages often use immutable data, recursion instead of looping, and avoid mutable state through techniques like immutable data structures and actor models.
What's LINQ, its advantages, its Operators and examples on some of them, Methods of Writing it.
LINQ to Objects and Collections and Data Source Transformation.
SOLID Design Principles applied in JavaIonut Bilica
Video: https://www.youtube.com/watch?v=0cU-4LrcWI0
SOLID Design Principles applied in Java: rules to develop scalable and easily maintainable code
Speaker: Ionut Bilica - Senior Software Developer @ Luxoft Romania.
During this talk we will discuss about the SOLID Principles described by Robert C. Martin, applying them in the Java programming language. Each principle will be explained in detail, with practical Java examples.
We will asses how these principles make it easy to develop the software for the entire duration of the project, and how some problems can appear if these principles are not applied. We will present common code fragments that do not respect these principles, and we'll see how we can correct them. Taking the SOLID principles into consideration, we will also analyse a real Java project using a Static Code Analyzer tool (e.g. STAN).
Finally, we will discuss the strategies on how to apply these design principles in "greenfield" projects, as well as "legacy" projects, while offering some tips and tricks.
Domain Driven Design (DDD) is a topic that's been gaining a lot of popularity in both the Java and .NET camps recently. Entities, value types, repositories, bounded contexts and anti-corruption layers -- find out what all the buzz is about, and how establishing a domain model can help you combat complexity in your code.
Richard Dingwall is a .NET developer and blogger with a passion for architecture and maintainable code.
He is currently working at Provoke Solutions as lead developer on a six-month project introducing test-driven development (TDD) and domain-driven design (DDD) to a large ASP.NET ERP system.
An hour-long talk given at Wellington .NET user group, Sept 23 2009.
CQRS es un patrón arquitectónico que separa las operaciones de consulta y comando. Esto permite optimizar por separado las operaciones de lectura y escritura mediante el uso de modelos y bases de datos diferentes. CQRS surgió para abordar los desafíos de obtener un rendimiento óptimo para consultas, informes y procesamiento utilizando el mismo modelo de datos. Proporciona ventajas como mejor rendimiento, escalabilidad y separación de hardware y bases de datos. Es adecuado para dominios complejos con consultas y presentación de
This presentation is based on a blog post I made:
http://eyalgo.com/2014/02/01/the-single-responsibility-principle/
More details are in that blog post.
I had a presentation at work with these slides.
Secret Twists to Efficiently Develop Reactive Software SystemsBart Jonkers
A successful software design for reactive software systems follows the three design principles:
■ Divide and conquer, then reuse effectively
■ Visualize your system
■ Automatically and formally verify everything, always
These principles are easy in theory. With traditional programming, however, it is extremely challenging to master them.
Reactive blocks, on the other hand, are a new type of software modules that make the three design principles a natural part of the design process.I
n this whitepaper, we present the secret twists to make these principles work for you and your organization.
The document discusses principles of software architecture and design including:
- Software architecture begins with code and the architect is still a programmer.
- The SOLID principles are important for arranging code into well-designed components.
- Clean Architecture specifies architectural patterns for separating concerns with layers and dependencies only pointing inward. This makes code independent and testable.
- Other principles covered include component cohesion, reuse, stable dependencies, and abstraction. Overall the document provides guidance on best practices for clean and maintainable software architecture and design.
2012 the clean architecture by Uncle bob GEORGE LEON
The document discusses the Clean Architecture, which separates a software system into concentric circles or layers to achieve separation of concerns. The inner circles contain general high-level business rules and logic, while the outer circles contain mechanisms and frameworks. The key rule is that dependencies can only point inward - outer layers cannot depend on inner layers. This allows the system to be independent of frameworks, testable without external elements, and independent of interfaces like the UI or database. Data crossing boundaries is simplified to avoid dependencies between layers. Adhering to these principles creates a system that is intrinsically testable and able to replace obsolete external parts with minimal effort.
This document discusses the SOLID principles of object-oriented design:
- The Single Responsibility Principle states that a class should have one, and only one, reason to change.
- The Open/Closed Principle specifies that software entities should be open for extension but closed for modification.
- The Liskov Substitution Principle dictates that subclasses should behave in the same way as their parent classes.
- The Interface Segregation Principle indicates that client classes should not depend on interfaces they do not use.
- The Dependency Inversion Principle asserts that high-level modules should not depend on low-level modules, but both should depend on abstractions.
The presentation provides examples of
The document discusses the SOLID principles of object-oriented design:
1. The Single Responsibility Principle states that a class should have one, and only one, reason to change.
2. The Open-Closed Principle states that software entities should be open for extension but closed for modification. Behavior is changed through inheritance and composition rather than direct modification.
3. The Liskov Substitution Principle states that subclasses must behave in the same way as the base class so that the base class can be substituted wherever the subclass is expected.
4. The Interface Segregation Principle states that interfaces should be small and focused so that client classes do not depend on methods they do not use.
Clean architecture - Protecting the DomainVictor Rentea
The goal of architecture is to simplify the most complex parts of your logic. Any other goal should be secondary to this. The problem is that you can’t always anticipate where the complexity of your application will accumulate, especially when confronted with ever-changing requirements. The only way to keep your code simple is to gradually evolve the architecture without adding useless complexity up front, but always looking out for opportunities to break-down and refactor towards the most simple design that solves the problem. Drawing concepts from the Domain-Driven Development mindset, this talk summarizes the most important lessons learned designing and consulting many real-world projects. Along the way, you’ll hear about Value Objects and Entities, DTOs, Dependency Inversion Principle, Facades, the Onion Architecture and many pragmatic tips and tricks immediately applicable to your day-to-day work.
Lieven DOCLO gave a presentation on implementing Clean Architecture. Clean Architecture advocates separating domains, applications, and interfaces into separate layers. This allows the inner layers to be independent of the outer layers and frameworks. The presentation demonstrated creating building-related use cases and domain models, implementing repositories, and exposing use cases through REST endpoints. It discussed issues like decoupling tradeoffs, pragmatic compromises, and applying Clean Architecture to legacy projects.
There's another talk about Clean Architecture, SOLID, and our approach at InfoJobs. If you need the slides, don't hesitate to fork https://github.com/schibsted-android-training/workshop-5
Clean Architecture Essentials - Stockholm Software CraftsmanshipIvan Paulovich
About the talk:
Software Architecture is not about picking frameworks then gluing the pieces together! Let's dig into a software implementation designed to support the use cases, we will learn how to make the use cases a standalone component and see how a good architecture allows major decisions to be deferred. We will discuss component coupling and cohesion during the development timeline. Is your application architecture a Web Application? Are your tests taking too long to run? You will learn how to make the delivery mechanism an irrelevant and testable detail.
About the speaker:
Ivan Paulovich is an Agile .NET developer that enjoy solutions based on use cases and decoupled from technology details. Active on GitHub he supports OSS about Domain-Driven Design, TDD, Event Sourcing, CQRS, SOLID and Microservices. Microsoft MVP Reconnect. Checkout @ivanpaulovich on GitHub.
SOLID Principles and The Clean ArchitectureMohamed Galal
This presentation is held at @blablaconnect Cairo office, Monday 31 December 2018.
In this presentation we will discuss the following topics:
- SOLID principles.
- Design Pattern vs. Clean Architecture.
- Successful software architecture characteristics.
- The Clean Architecture.
- Real life example.
The document discusses Clean Architecture, an approach for building maintainable and testable code. It presents four main principles: 1) limit dependencies between modules, 2) introduce boundaries between modules, 3) have dependencies point towards abstractions, and 4) inject dependencies. The architecture separates entities, business rules, use cases, interfaces, and drivers/frameworks. This independent, layered structure makes the code independent of frameworks and databases, and easier to maintain and evolve over time.
Object Oriented Programming Concepts for beginners Vibhawa Nirmal
This document provides an introduction to object-oriented programming concepts. It defines object-oriented programming as a paradigm based on implementing real-world entities like objects and classes. The main benefits of OOP are reusability of code, flexibility, and increased maintainability, though it can be more complex to plan. Key concepts explained include classes, which provide blueprints for creating objects with states and behaviors. Inheritance allows classes to inherit attributes and methods from super classes. Other concepts are encapsulation, which binds code and variables together; abstraction, which hides unnecessary details; and polymorphism, which allows single actions to be performed in different ways.
This document provides an introduction to domain-driven design (DDD). It defines DDD as an approach where the application's domain model reflects the real business domain and core domain is the primary focus. It discusses DDD principles like ubiquitous language, domain encapsulation, and technical simplicity. The benefits of DDD include improved communication through a shared language, a modular and extensible domain model, and the domain rules and logic being encapsulated in one place.
The document discusses the SOLID principles of object-oriented design, which are Single Responsibility Principle, Open Closed Principle, Liskov Substitution Principle, Interface Segregation Principle, and Dependency Inversion Principle. For each principle, it provides an example of how to apply the principle correctly and how violations of the principle can occur if it is not followed. It also lists some recommended reading materials on software design patterns and principles.
The Art of Unit Testing - Towards a Testable DesignVictor Rentea
Slides of the Talk I gave at Devoxx Belgium 2019.
=== Abstract ===
Focusing on the creative work without being terrified of breaking the existing behavior can make software development very addictive! Good automated tests can buy you that!
However, if your tests are not maintainable they may end up slowing you down and causing you painful headaches, compilation errors and spurious failures. To avoid that, your unit tests should be significant; expressive; clean; DRY; non-overlapping; and blazing fast. Writing good tests becomes the toughest challenge for any developer, no matter how battle-hardened: you need to balance risk with test maintenance costs, while looking out for test design smells that call for [risky] refactoring to drive your design towards a set of key principles (included:).
Principles that will end up shaping the way you craft the Production code itself. Because in the end, a good, clean design is more important than coverage%.
But testing gives you the best feedback to get there.
Grab a black coffee and join this snippet from Victor’s Pro Unit Testing #training, to learn about testing priorities, buggy tests, the shared @Before, Mocks vs Stubs and how to reduce them by "purifying" your logic, testing Legacy Code and refactoring @Spy-es out.
All of that in an entertaining, dynamic and memorable session.
A Practical Guide to Domain Driven Design: Presentation Slidesthinkddd
Tonight I presented on Domain Driven Design to the Alt.Net group in Sydney at the invite of Richard Banks.
As a follow up, attached are the slides I used, feel free to distribute and use on the Creative Commons Licence
This document provides an overview of functional programming concepts including:
- Functional programming focuses on immutable data and treating computation as mathematical functions. It emphasizes eliminating side effects.
- Key concepts include first-class functions, higher-order functions, pure functions, recursion, currying, and pattern matching.
- Functional programming languages often use immutable data, recursion instead of looping, and avoid mutable state through techniques like immutable data structures and actor models.
What's LINQ, its advantages, its Operators and examples on some of them, Methods of Writing it.
LINQ to Objects and Collections and Data Source Transformation.
SOLID Design Principles applied in JavaIonut Bilica
Video: https://www.youtube.com/watch?v=0cU-4LrcWI0
SOLID Design Principles applied in Java: rules to develop scalable and easily maintainable code
Speaker: Ionut Bilica - Senior Software Developer @ Luxoft Romania.
During this talk we will discuss about the SOLID Principles described by Robert C. Martin, applying them in the Java programming language. Each principle will be explained in detail, with practical Java examples.
We will asses how these principles make it easy to develop the software for the entire duration of the project, and how some problems can appear if these principles are not applied. We will present common code fragments that do not respect these principles, and we'll see how we can correct them. Taking the SOLID principles into consideration, we will also analyse a real Java project using a Static Code Analyzer tool (e.g. STAN).
Finally, we will discuss the strategies on how to apply these design principles in "greenfield" projects, as well as "legacy" projects, while offering some tips and tricks.
Domain Driven Design (DDD) is a topic that's been gaining a lot of popularity in both the Java and .NET camps recently. Entities, value types, repositories, bounded contexts and anti-corruption layers -- find out what all the buzz is about, and how establishing a domain model can help you combat complexity in your code.
Richard Dingwall is a .NET developer and blogger with a passion for architecture and maintainable code.
He is currently working at Provoke Solutions as lead developer on a six-month project introducing test-driven development (TDD) and domain-driven design (DDD) to a large ASP.NET ERP system.
An hour-long talk given at Wellington .NET user group, Sept 23 2009.
CQRS es un patrón arquitectónico que separa las operaciones de consulta y comando. Esto permite optimizar por separado las operaciones de lectura y escritura mediante el uso de modelos y bases de datos diferentes. CQRS surgió para abordar los desafíos de obtener un rendimiento óptimo para consultas, informes y procesamiento utilizando el mismo modelo de datos. Proporciona ventajas como mejor rendimiento, escalabilidad y separación de hardware y bases de datos. Es adecuado para dominios complejos con consultas y presentación de
This presentation is based on a blog post I made:
http://eyalgo.com/2014/02/01/the-single-responsibility-principle/
More details are in that blog post.
I had a presentation at work with these slides.
Secret Twists to Efficiently Develop Reactive Software SystemsBart Jonkers
A successful software design for reactive software systems follows the three design principles:
■ Divide and conquer, then reuse effectively
■ Visualize your system
■ Automatically and formally verify everything, always
These principles are easy in theory. With traditional programming, however, it is extremely challenging to master them.
Reactive blocks, on the other hand, are a new type of software modules that make the three design principles a natural part of the design process.I
n this whitepaper, we present the secret twists to make these principles work for you and your organization.
The document discusses principles of software architecture and design including:
- Software architecture begins with code and the architect is still a programmer.
- The SOLID principles are important for arranging code into well-designed components.
- Clean Architecture specifies architectural patterns for separating concerns with layers and dependencies only pointing inward. This makes code independent and testable.
- Other principles covered include component cohesion, reuse, stable dependencies, and abstraction. Overall the document provides guidance on best practices for clean and maintainable software architecture and design.
This document discusses software architecture patterns. It begins by defining software architecture patterns as reusable predefined solutions that provide instructions and guidelines. It then explains that software architecture patterns are used to provide solutions to commonly occurring problems by learning from past experiences. The document discusses some essential software architecture patterns like layered architecture, MVC, microkernel architecture, CQRS, event sourcing, and microservices. It provides examples and discusses the pros and cons of each pattern and when each would be most applicable.
The document discusses several design patterns including Inversion of Control (IoC), Dependency Injection (DI), Repository pattern, and Unit of Work pattern. IoC is a design principle that inverts control of object creation and dependencies to achieve loose coupling. Dependency Injection is a pattern that implements IoC by allowing dependent objects to be created outside of a class. The Repository pattern abstracts data access logic from business logic. The Unit of Work pattern groups multiple data transactions into a single transaction.
Slides for the session presented at the "Un Actor (Model) per amico - multithreading made easy" DevMarche User group event.
In the talk I introduced many of the techniques and practices the teams I work with use when it comes to design and develop highly concurrent and possibly distributed applications.
I also tried to show how many of the concepts coming from several "sources", like Agile practices, DDD, SOA, Microservices, Actor Model, etc overlap and integrate to reach the goal of modelling a working solution for our customers.
This document discusses fundamentals of software engineering design. It explains that design creates a representation of software that provides implementation details beyond an analysis model. Four design models are described: data design, architectural design, user interface design, and component-level design. Design principles, concepts like abstraction and patterns are explained. Tools like CASE tools can support design, and evaluation ensures a quality design. A design specification document formally specifies the design.
The document discusses various software architecture patterns and principles, comparing monolithic and microservices architectures. It covers topics like layers, domain-driven design, code-first versus database-first approaches, and considerations for data management in multi-tenant systems. The key aspects of architectures like microservices and domain-driven design are explained at a high level.
The document discusses various software architectures, including layered architecture, virtual machines, and interaction architectures like Model View Controller (MVC). It describes layered architecture as decomposing a system into hierarchical layers, with each layer having a defined responsibility. MVC separates an application into three components - the model, the view, and the controller. The model manages the data and business logic, the view displays the data, and the controller handles input and invoking changes. Variations like MVC-II separate the controller and view into distinct modules. Overall the document provides an overview of common software architectures and design patterns for structuring interactive applications.
Pattern oriented architecture for web based architectureshuchi tripathi
This document discusses web application architecture and design patterns. It describes a three-layer architecture with presentation, application, and data layers. For the presentation layer, forms are commonly used to structure user interfaces. The application layer focuses on business processes and components. The data access layer exposes database data. Popular design patterns like MVC, PAC, and others are explained as ways to achieve separation of concerns and improve maintainability. MVC divides the presentation layer into separate controller and view components. PAC defines a hierarchical structure of cooperating agents with presentation, abstraction, and control components.
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1. by Dmytro Turskyi (2023)
(2017)
By Robert C. Martin (aka “Uncle Bob”)
2. Agenda
• The goal?
‣ Architecture.
‣ Component principles.
‣ SOLID.
• Decoupling layers.
• Application-independent business rules. Entities.
• Application-specific business rules. Use cases.
• Interface adapters.
• Gateways. Frameworks and drivers.
• The clean architecture.
• The ultimate detail.
• A typical scenario.
• Duplication
3. THE GOAL?
The goal of software architecture is to minimize the human resources required to
build and maintain the required system.
Software was invented to be “soft.” It was intended to be a way to easily change the
behavior of machines. If we’d wanted the behavior of machines to be hard to
change, we would have called it hardware.
Good software systems begin with clean code. On the one hand, if the bricks aren’t
well made, the architecture of the building doesn’t matter much. On the other hand,
you can make a substantial mess with well-made bricks.
into classes, and how those classes should be interconnected.
4. ARCHITECTURE
The architecture of a software system is the shape given to that system by those who
build it. The form of that shape is in the division of that system into components, the
arrangement of those components, and the ways in which those components
communicate with each other.
A good architecture must support:
• The use cases and operation of the system.
• The maintenance of the system.
• The development of the system.
• The deployment of the system.
architecture
5. COMPONENT PRINCIPLES
A component is a grouping of related functionality behind a nice clean interface, which
resides inside an execution environment like an application.
If the SOLID principles tell us how to arrange the bricks into walls and rooms, then the
component principles tell us how to arrange the rooms into buildings. Large software
systems, like large buildings, are built out of smaller components.
• REP: The Reuse/Release Equivalence Principle. The granule of reuse is the granule
of release. This means that the classes and modules that are formed into a
component must belong to a cohesive group.
• CCP: The Common Closure Principle. Gather into components those classes that
change for the same reasons and at the same times. Separate into different
components those classes that change at different times and for different reasons.
• CRP: The Common Reuse Principle. Don’t force users of a component to depend on
things they don’t need.
component
SOLID
6. SOLID
The SOLID principles tell us how to arrange our functions and data structures into classes, and
how those classes should be interconnected.
SRP: The Single Responsibility Principle. Each software module has one, and only one, reason
to change. (What do we mean by the word “module”? The simplest definition is just a source
file.)
OCP: The Open-Closed Principle. For software systems to be easy to change, they must be
designed to allow the behavior of those system to be changed by adding new code, rather than
changing existing code.
LSP: The Liskov Substitution Principle. To build software systems from interchangeable parts,
those parts must adhere to a contract that allows those parts to be substituted one for another.
ISP: The Interface Segregation Principle. This principle advises software designers to avoid
depending on things that they don’t use.
DIP: The Dependency Inversion Principle. The code that implements high-level policy should
not depend on the code that implements low-level details. Rather, details should depend on
policies.
7. DECOUPLING LAYERS
The architect can employ the Single Responsibility Principle and the Common
Closure Principle to separate those things that change for different reasons, and to
collect those things that change for the same reasons—given the context of the
intent of the system.
What changes for different reasons?
User interfaces change for reasons that have nothing to do with business rules.
Business rules themselves may be closely tied to the application, or they may be
more general. The database, the query language, and even the schema are
technical details that have nothing to do with the business rules or the UI.
Thus we find the system divided into decoupled horizontal layers— the application-
independent business rules, Application-specific business rules, UI, and the
Database.
8. APPLICATION-INDEPENDENT BUSINESS RULES
ENTITIES
Application-independent business rules are rules or procedures that make or save the
business money. Irrespective of whether they were implemented on a computer, they
would make or save money even if they were executed manually.
An Entity is an object within our computer system in a single and separate module
that embodies a small set of critical business rules operating on Critical Business
Data.
Entities
Application-independent business rules
9. APPLICATION-SPECIFIC BUSINESS RULES
USE CASES
Entities have no knowledge of the use cases that control
them.
The use cases of the system will be plainly visible within the
structure of that system. Those elements will be classes or
functions or modules that have prominent positions within
the architecture, and they will have names that clearly
describe their function.
From the use case, it is impossible to tell whether the
application is delivered on the web, or on a thick client, or on
a console, or is a pure service.
A use case is a description of the way that an automated system is used. It specifies the
input to be provided by the user, the output to be returned to the user, and the
processing steps involved in producing that output. A use case describes application-
specific business rules as opposed to the Critical Business Rules within the Entities.
Entities
Use Cases
Dependency
Flow
10. INTERFACE ADAPTERS
The software in the interface adapters
layer is a set of adapters that convert
data from the format most convenient for
the use cases and entities, to the format
most convenient for some external
agency such as the database or the
web.
The presenters, views, and controllers
all belong in the interface adapters layer.
No code inward of this circle should
know anything at all about the database.
Entities
Use Cases
Controllers
Presenters
Dependency
Flow
Views
11. The frameworks and drivers layer is
where all the details go. The web is a
detail. The database is a detail. We
keep these things on the outside
where they can do little harm.
Between the use case interactors and
the database are the database
gateways.These gateways are
polymorphic interfaces that contain
methods for every create, read,
update, or delete operation that can
be performed by the application on
the database.
Entities
Use Cases
Dependency
Flow
GATEWAYS
FRAMEWORKS AND DRIVERS
12. THE CLEAN ARCHITECTURE
Entities
Use Cases Enterprise Business Rules
Application Business Rules
Interface Adapters
Frameworks & Drivers
Main
Dependency
Flow
App
13. THE ULTIMATE DETAIL
The Main component is the ultimate detail—the lowest-level policy. It is the initial entry
point of the system. Nothing, other than the operating system, depends on it. It is in
this Main component that dependencies should be injected by a Dependency
Injection framework. Main is a dirty low-level module in the outermost circle of the
clean architecture. Think of Main as a plugin to the application—a plugin that sets up
the initial conditions and configurations, gathers all the outside resources, and then
hands control over to the high-level policy of the application.
When Main is released, it has utterly no effect on any of the other components in the
system. They don’t know about Main, and they don’t care when it changes.
14. A TYPICAL SCENARIO
If the application wants to display money on the screen, it might pass a Currency
object to the Presenter. The Presenter will format that object with the appropriate
decimal places and currency markers, creating a string that it can place in the View
Model. If that currency value should be turned red if it is negative, then a simple
boolean flag in the View model will be set appropriately.
Anything and everything that appears on the screen, and that the application has
some kind of control over, is represented in the View Model as a string, or a boolean,
or an enum. Nothing is left for the View to do other than to load the data from the
View Model into the screen.
If the application needs to know the last names of all the users who logged in
yesterday, then the UserGateway interface will have a method named
getLastNamesOfUsersWhoLoggedInAfter that takes a Date as its argument and
returns a list of last names.
15. A TYPICAL SCENARIO
Typically the data that crosses the boundaries consists of simple data structures. You
can use basic structs or simple data transfer objects if you like. Or the data can simply
be arguments in function calls. Or you can pack it into a hash-map, or construct it into
an object.
Warning! Many database frameworks return a convenient data format in response to
a query. We might call this a “row structure.” We don’t want to pass that row structure
inward across a boundary. Doing so would violate the Dependency Rule because it
would force an inner circle to know something about an outer circle.
BUT WHAT ABOUT DUPLICATION?
DUPLICATION
16. DUPLICATION
Architects often fall into a trap—a trap that hinges on their fear of duplication.
When code is truly duplicated, we are honour-bound as professionals to reduce and
eliminate it.
But there are different kinds of duplication.
There is true duplication, in which every change to one instance necessitates the
same change to every duplicate of that instance.
If two apparently duplicated sections of code evolve along different paths—if they
change at different rates, and for different reasons—then they are false or accidental
duplication.
will help you keep the layers properly decoupled.
17. DUPLICATION
When you are vertically separating use cases from one another, you will run into this
issue too, and your temptation will be to couple the use cases because they have
similar screen structures, or similar algorithms, or similar database queries and/or
schemas. Be careful. Resist the temptation to commit the sin of knee-jerk elimination
of duplication. Make sure the duplication is real.
By the same token, when you are separating layers horizontally, you might notice that
the data structure of a particular database record is very similar to the data structure
of a particular screen view. You may be tempted to simply pass the database record
up to the UI, rather than to create a view model that looks the same and copy the
elements across. Be careful: This duplication is almost certainly accidental. Creating
the separate view model is not a lot of effort, and it will help you keep the layers
properly decoupled.