Introducing Android Architecture
If you would like to view the related sample codes, you can refer to link below:
https://github.com/ZahraHeydari/ArtGallery
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.
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
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.
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.
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, 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.
This document discusses the principles and structure of Clean Architecture for ASP.NET Core applications. It recommends separating an application into projects for the core domain logic, infrastructure implementation, and user interface. The core project defines interfaces that outer projects implement, avoiding direct dependencies. This allows for independence of frameworks, databases, and user interfaces. The document provides examples of project structure and responsibilities, and resources for further learning clean architecture principles.
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.
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
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.
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.
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, 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.
This document discusses the principles and structure of Clean Architecture for ASP.NET Core applications. It recommends separating an application into projects for the core domain logic, infrastructure implementation, and user interface. The core project defines interfaces that outer projects implement, avoiding direct dependencies. This allows for independence of frameworks, databases, and user interfaces. The document provides examples of project structure and responsibilities, and resources for further learning clean architecture principles.
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.
Design patterns are optimized, reusable solutions to the programming problems that we encounter every day. A design pattern is not a class or a library that we can simply plug into our system; it's much more than that. It is a template that has to be implemented in the correct situation. It's not language-specific either. A good design pattern should be implementable in most—if not all—languages, depending on the capabilities of the language. Most importantly, any design pattern can be a double-edged sword— if implemented in the wrong place, it can be disastrous and create many problems for you. However, implemented in the right place, at the right time, it can be your savior.
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.
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.
This document discusses dependency injection in .NET. It defines dependency injection as a set of principles and patterns that enable loosely coupled code. Some benefits of loose coupling are that it is easy to extend, test, maintain, and facilitates parallel development and late binding. Common dependency injection patterns include constructor injection, property injection, and method injection. Popular dependency injection containers for .NET include Autofac, Ninject, Unity, and Castle Windsor. The document provides an example of tightly coupled code and how to make it loosely coupled using dependency injection by adding abstractions, constructor injection, and object composition.
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.
TypeScript is a super set of JavaScript. This slide covers the key features of TypeScript including basics of typescript, basic types, Interfaces, Functions, Classes, Generics, Modules.
The document provides an overview of the GoF design patterns including the types (creational, structural, behavioral), examples of common patterns like factory, abstract factory, singleton, adapter, facade, iterator, observer, and strategy, and UML diagrams illustrating how the patterns can be implemented. Key aspects of each pattern like intent, relationships, pros and cons are discussed at a high level. The document is intended to introduce software engineers to design patterns and how they can be applied.
We like the architecture of our applications to revolve around the business logic, not around technical details (and especially not around the database).
In my team at Sky Network Services we use the Clean Architecture and it has given us a great deal of benefits: the business logic is explicit, we are free to change our technical decisions, the app is easy to test, working on it is faster and scalable, it’s hard to do the wrong thing, and many more.
But it comes at a cost, of course. In this talk I’ll tell you the story of our experience with Clean Architecture and give you some tips to get the most out of it.
Example Project
https://github.com/mattia-battiston/clean-architecture-example
Downloads
Online: https://goo.gl/DTxftJ
PDF: https://goo.gl/ZAtdBN
Powerpoint: https://goo.gl/D54wdZ (but you need to install these fonts to see it properly: https://goo.gl/iH8SO5)
Learning solid principles using c#
S Single Responsibility Principle
O Open Closed Principle
L Liskovs Substitution Principle
I Interface Segregation Principle
D Dependency Inversion principle
Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023Steve Pember
In this presentation we will present the general philosophy of Clean Architecture, Hexagonal Architecture, and Ports & Adapters: discussing why these approaches are useful and general guidelines for introducing them to your code. Chiefly, we will show how to implement these patterns within your Spring (Boot) Applications. Through a publicly available reference app, we will demonstrate what these concepts can look like within Spring and walkthrough a handful of scenarios: isolating core business logic, ease of testing, and adding a new feature or two.
( ReactJS Training - https://www.edureka.co/reactjs-redux-... )
This Edureka video on React Interview Questions and Answers will help you to prepare yourself for React Interviews. Learn about the most important React interview questions and answers and know what will set you apart in the interview process.
This video helps you to learn following topics:
1. General React
2. React Components
3. React Redux
4. React Router
This document introduces TypeScript and provides an overview of its key features. It discusses why TypeScript was created due to issues with JavaScript like dynamic typing and lack of modularity. It also covers TypeScript features like optional static types, interfaces, classes, modules and how it compiles to JavaScript. The presentation concludes by noting TypeScript allows gradual adoption and that application scale JavaScript development is difficult but TypeScript makes it easier.
This document provides an introduction to design patterns. It begins by explaining what design patterns are, their benefits, and common elements of design patterns like name, problem, solution, and consequences. It then discusses different types of design patterns classified by purpose (creational, structural, behavioral) and scope (class, object). An example of applying the strategy pattern to a duck simulation is used to illustrate how patterns can solve common object-oriented design problems by separating variable aspects from those that remain the same. The document advocates programming to interfaces rather than implementations to avoid tight coupling and allow independent extension of behavior.
Typescript is a typed superset of JavaScript that adds additional features like classes, interfaces, and modules to provide type safety and help manage large applications. It allows for type annotations, classes, interfaces, generics and other features to support object-oriented and modular programming. Typescript code compiles to plain JavaScript and is an open source project maintained by Microsoft.
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. It allows for large scale JavaScript application development with features like classes, inheritance, modules, generators, async/await, and decorators. TypeScript introduces strong typing, interfaces, generics, and other design-time features not available in JavaScript to reduce complexity in large codebases. It supports the future of JavaScript by allowing the use of ES6 and ES7 features today through compiler options. Getting started is easy using the TypeScript playground or boilerplate projects on GitHub.
The document discusses three design patterns: Singleton, Observer, and Factory. The Singleton pattern ensures that only one instance of a class can exist and provides a global access point. The Observer pattern defines a subscription mechanism so that multiple objects can be notified of changes to an object they are observing. The Factory pattern provides an interface for creating objects but leaves the concrete class unspecified. Real-world examples and implementations of each pattern are provided.
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. It provides examples of refactoring code based on these principles, such as extracting classes and interfaces to separate responsibilities and allow for extensibility. The document emphasizes that applying these principles helps make code more modular, reusable, and testable.
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.
The document discusses Domain Driven Design (DDD), a software development approach that focuses on building an object-oriented model of the domain that software needs to represent. It emphasizes modeling the domain closely after the structure and language of the problem domain. Key aspects of DDD discussed include ubiquitous language, bounded contexts, entities, value objects, aggregate roots, repositories, specifications, domain services, modules, domain events, and command query separation. DDD is best suited for projects with a significant domain complexity where closely modeling the problem domain can help manage that complexity.
The document discusses various middleware technologies in Java. It covers Java-based component models like JavaBeans, RMI, RMI-IIOP and EJB. It describes the features of JavaBeans like events, properties, introspection, customization and persistence. It also discusses RMI and how it facilitates distributed object computing. CORBA is introduced as a standard that supports interoperability across different languages.
The document discusses various middleware technologies used in distributed systems. It describes two-tier and three-tier architectures, and compares them. It then explains concepts like Remote Method Invocation (RMI), JavaBeans, Enterprise JavaBeans (EJB), Common Object Request Broker Architecture (CORBA), and how they enable communication between distributed components and objects across different platforms and languages.
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.
Design patterns are optimized, reusable solutions to the programming problems that we encounter every day. A design pattern is not a class or a library that we can simply plug into our system; it's much more than that. It is a template that has to be implemented in the correct situation. It's not language-specific either. A good design pattern should be implementable in most—if not all—languages, depending on the capabilities of the language. Most importantly, any design pattern can be a double-edged sword— if implemented in the wrong place, it can be disastrous and create many problems for you. However, implemented in the right place, at the right time, it can be your savior.
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.
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.
This document discusses dependency injection in .NET. It defines dependency injection as a set of principles and patterns that enable loosely coupled code. Some benefits of loose coupling are that it is easy to extend, test, maintain, and facilitates parallel development and late binding. Common dependency injection patterns include constructor injection, property injection, and method injection. Popular dependency injection containers for .NET include Autofac, Ninject, Unity, and Castle Windsor. The document provides an example of tightly coupled code and how to make it loosely coupled using dependency injection by adding abstractions, constructor injection, and object composition.
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.
TypeScript is a super set of JavaScript. This slide covers the key features of TypeScript including basics of typescript, basic types, Interfaces, Functions, Classes, Generics, Modules.
The document provides an overview of the GoF design patterns including the types (creational, structural, behavioral), examples of common patterns like factory, abstract factory, singleton, adapter, facade, iterator, observer, and strategy, and UML diagrams illustrating how the patterns can be implemented. Key aspects of each pattern like intent, relationships, pros and cons are discussed at a high level. The document is intended to introduce software engineers to design patterns and how they can be applied.
We like the architecture of our applications to revolve around the business logic, not around technical details (and especially not around the database).
In my team at Sky Network Services we use the Clean Architecture and it has given us a great deal of benefits: the business logic is explicit, we are free to change our technical decisions, the app is easy to test, working on it is faster and scalable, it’s hard to do the wrong thing, and many more.
But it comes at a cost, of course. In this talk I’ll tell you the story of our experience with Clean Architecture and give you some tips to get the most out of it.
Example Project
https://github.com/mattia-battiston/clean-architecture-example
Downloads
Online: https://goo.gl/DTxftJ
PDF: https://goo.gl/ZAtdBN
Powerpoint: https://goo.gl/D54wdZ (but you need to install these fonts to see it properly: https://goo.gl/iH8SO5)
Learning solid principles using c#
S Single Responsibility Principle
O Open Closed Principle
L Liskovs Substitution Principle
I Interface Segregation Principle
D Dependency Inversion principle
Anatomy of a Spring Boot App with Clean Architecture - Spring I/O 2023Steve Pember
In this presentation we will present the general philosophy of Clean Architecture, Hexagonal Architecture, and Ports & Adapters: discussing why these approaches are useful and general guidelines for introducing them to your code. Chiefly, we will show how to implement these patterns within your Spring (Boot) Applications. Through a publicly available reference app, we will demonstrate what these concepts can look like within Spring and walkthrough a handful of scenarios: isolating core business logic, ease of testing, and adding a new feature or two.
( ReactJS Training - https://www.edureka.co/reactjs-redux-... )
This Edureka video on React Interview Questions and Answers will help you to prepare yourself for React Interviews. Learn about the most important React interview questions and answers and know what will set you apart in the interview process.
This video helps you to learn following topics:
1. General React
2. React Components
3. React Redux
4. React Router
This document introduces TypeScript and provides an overview of its key features. It discusses why TypeScript was created due to issues with JavaScript like dynamic typing and lack of modularity. It also covers TypeScript features like optional static types, interfaces, classes, modules and how it compiles to JavaScript. The presentation concludes by noting TypeScript allows gradual adoption and that application scale JavaScript development is difficult but TypeScript makes it easier.
This document provides an introduction to design patterns. It begins by explaining what design patterns are, their benefits, and common elements of design patterns like name, problem, solution, and consequences. It then discusses different types of design patterns classified by purpose (creational, structural, behavioral) and scope (class, object). An example of applying the strategy pattern to a duck simulation is used to illustrate how patterns can solve common object-oriented design problems by separating variable aspects from those that remain the same. The document advocates programming to interfaces rather than implementations to avoid tight coupling and allow independent extension of behavior.
Typescript is a typed superset of JavaScript that adds additional features like classes, interfaces, and modules to provide type safety and help manage large applications. It allows for type annotations, classes, interfaces, generics and other features to support object-oriented and modular programming. Typescript code compiles to plain JavaScript and is an open source project maintained by Microsoft.
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. It allows for large scale JavaScript application development with features like classes, inheritance, modules, generators, async/await, and decorators. TypeScript introduces strong typing, interfaces, generics, and other design-time features not available in JavaScript to reduce complexity in large codebases. It supports the future of JavaScript by allowing the use of ES6 and ES7 features today through compiler options. Getting started is easy using the TypeScript playground or boilerplate projects on GitHub.
The document discusses three design patterns: Singleton, Observer, and Factory. The Singleton pattern ensures that only one instance of a class can exist and provides a global access point. The Observer pattern defines a subscription mechanism so that multiple objects can be notified of changes to an object they are observing. The Factory pattern provides an interface for creating objects but leaves the concrete class unspecified. Real-world examples and implementations of each pattern are provided.
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. It provides examples of refactoring code based on these principles, such as extracting classes and interfaces to separate responsibilities and allow for extensibility. The document emphasizes that applying these principles helps make code more modular, reusable, and testable.
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.
The document discusses Domain Driven Design (DDD), a software development approach that focuses on building an object-oriented model of the domain that software needs to represent. It emphasizes modeling the domain closely after the structure and language of the problem domain. Key aspects of DDD discussed include ubiquitous language, bounded contexts, entities, value objects, aggregate roots, repositories, specifications, domain services, modules, domain events, and command query separation. DDD is best suited for projects with a significant domain complexity where closely modeling the problem domain can help manage that complexity.
The document discusses various middleware technologies in Java. It covers Java-based component models like JavaBeans, RMI, RMI-IIOP and EJB. It describes the features of JavaBeans like events, properties, introspection, customization and persistence. It also discusses RMI and how it facilitates distributed object computing. CORBA is introduced as a standard that supports interoperability across different languages.
The document discusses various middleware technologies used in distributed systems. It describes two-tier and three-tier architectures, and compares them. It then explains concepts like Remote Method Invocation (RMI), JavaBeans, Enterprise JavaBeans (EJB), Common Object Request Broker Architecture (CORBA), and how they enable communication between distributed components and objects across different platforms and languages.
This document discusses Onion architecture and related concepts. It begins by asking typical questions developers have around application architecture. It then defines concepts like DTOs, POCOs, and domain objects. It contrasts anemic domain models with domain-driven design. It introduces Onion architecture as having layers like concentric circles with domain objects and abstractions at the center and infrastructure elements on the outside. It demonstrates Onion architecture through examples and compares it to traditional architecture. It addresses common misunderstandings and discusses positive effects and when Onion architecture may not be suitable. Finally, it briefly introduces the related Hexagonal architecture pattern.
The document discusses architectural principles and patterns for software design, including:
1. Leaving implementation details open as long as possible to maximize optionality in design decisions.
2. Ways to decouple layers include controlling dependencies between code modules, communicating via function calls within a process or inter-process communication between processes.
3. Common architectural patterns discussed include layers, hexagonal architecture, and the clean architecture pattern of only allowing dependencies to point inward.
This slide deck compares the two popular styles of software architecture - Monolith and Microservices based architecture. This presentation will help you decide which one works better for you, and when to use which architecture.
The document discusses the building blocks of a SystemVerilog testbench. It describes the program block, which encapsulates test code and allows reading/writing signals and calling module routines. Interface and clocking blocks are used to connect the testbench to the design under test. Assertions, randomization, and other features help create flexible testbenches to verify design correctness.
Dip(dependency inversion principle) presentationqamar mustafa
The Dependency Inversion Principle states that high-level modules should not depend on low-level modules, but should depend on abstractions. Both high- and low-level modules should depend on abstractions, not on details. Inversion of Control is an aspect of software design where objects are provided to other objects rather than created by them. Dependency Injection is a design pattern that reduces coupling between components by allowing objects to receive their dependencies from external sources rather than creating them directly.
Understanding docker ecosystem and vulnerabilities pointsAbdul Khan
Docker has given many developers an easy platform with which to build and deploy scalable containerised applications and services. In this presentation docker is explored but it’s importance to understand the vulnerable endpoints of the docker ecosystem.
Building modular software with OSGi - Ulf Fildebrandtmfrancis
The document discusses how to build modular software using OSGi by defining modules based on difficult design decisions, implementing principles like dependency injection and the Liskov substitution principle, and measuring modularity through metrics analyzed by tools like ConQAT to compare the desired architecture with the actual implementation. The goals of modularity are to manage complexity through separation of concerns into interchangeable modules and to allow systems to evolve over time through substitutability and extensibility of modules.
The document discusses object-oriented design and its role in software development. It describes how design builds upon analysis to provide implementation details. Key aspects of object-oriented design include defining a multilayered architecture, specifying subsystems and components, describing classes and objects, and defining communication mechanisms. The input to design comes from artifacts created in analysis like use cases and class models. The output of design serves as a blueprint to guide construction.
Synopsis on online shopping by sudeep singhSudeep Singh
This document provides an overview of an online shopping project developed using Java. It discusses the aims of improving customer and vendor services. It maintains customer payment and product details. The key features are high accuracy, flexibility and easy availability. It uses database tables to represent entities and relationships. The project allows customers to shop online and buy items which are then shipped to the submitted address. It has modules for customers and stores.
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.
The document discusses various .NET component technologies including Component Object Model (COM), Distributed COM (DCOM), ActiveX controls, and .NET components. It also covers related concepts like assemblies, AppDomains, contexts, and reflection. COM is an interface standard introduced by Microsoft in 1993 to enable interprocess communication and dynamic object creation. DCOM extends COM to enable communication across networked computers. ActiveX controls allow embedding functionality in web pages. .NET components provide a programmable interface accessed by client applications.
Behavior driven development (BDD) is an agile software development process that encourages collaboration between developers, QA and non-technical or business participants in a software project. It helps align team goals to deliver value to business stakeholders. BDD has advantages like improving communication, early validation of requirements, and automated acceptance tests. However, it also requires extra effort for writing feature files and scenarios. BDD may not be suitable for all projects depending on their nature and requirements. Overall, when implemented effectively, BDD can help deliver working software that meets business needs.
Entity Core with Core Microservices.pptxKnoldus Inc.
How Developers can use Entity framework(ORM) which provides a structured and consistent way for microservices to interact with their respective database, prompting independence, scaliblity and maintainiblity in a distributed system, and also provide a high-level abstraction for data access.
The document discusses different operating system architectures including monolithic, layered, microkernel, and hybrid. In a monolithic architecture, all OS components are contained within the kernel. Layered architectures group similar functions into layers to improve modularity. Microkernel architectures keep only core functions like IPC and scheduling in the kernel. Hybrid architectures combine aspects of the other architectures, keeping a small isolated microkernel and placing other functions like file management in separate user-space processes. The hybrid approach aims to gain efficiency while maintaining modularity and flexibility.
Software architecture captures the structure of a system at a high level of abstraction, illuminating top-level design decisions. Architectural patterns provide well-established solutions to common problems, expressing fundamental structural schemas at a larger scale than design patterns. Common architectural patterns include pipes and filters, blackboard, layered/tiered, and model-view-controller (MVC). MVC isolates business logic from user interface concerns, permitting independent development and maintenance of each component.
Software architecture captures the structure of a system at a high level of abstraction, illuminating top-level design decisions. Architectural patterns provide well-established solutions to common problems, expressing fundamental structural schemas at a larger scale than design patterns. Common architectural patterns include pipes and filters, blackboard, layered/tiered, and model-view-controller (MVC). MVC isolates business logic from user interface concerns, permitting independent development and maintenance of each component.
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
How GenAI Can Improve Supplier Performance Management.pdfZycus
Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
What’s new in VictoriaMetrics - Q2 2024 UpdateVictoriaMetrics
These slides were presented during the virtual VictoriaMetrics User Meetup for Q2 2024.
Topics covered:
1. VictoriaMetrics development strategy
* Prioritize bug fixing over new features
* Prioritize security, usability and reliability over new features
* Provide good practices for using existing features, as many of them are overlooked or misused by users
2. New releases in Q2
3. Updates in LTS releases
Security fixes:
● SECURITY: upgrade Go builder from Go1.22.2 to Go1.22.4
● SECURITY: upgrade base docker image (Alpine)
Bugfixes:
● vmui
● vmalert
● vmagent
● vmauth
● vmbackupmanager
4. New Features
* Support SRV URLs in vmagent, vmalert, vmauth
* vmagent: aggregation and relabeling
* vmagent: Global aggregation and relabeling
* vmagent: global aggregation and relabeling
* Stream aggregation
- Add rate_sum aggregation output
- Add rate_avg aggregation output
- Reduce the number of allocated objects in heap during deduplication and aggregation up to 5 times! The change reduces the CPU usage.
* Vultr service discovery
* vmauth: backend TLS setup
5. Let's Encrypt support
All the VictoriaMetrics Enterprise components support automatic issuing of TLS certificates for public HTTPS server via Let’s Encrypt service: https://docs.victoriametrics.com/#automatic-issuing-of-tls-certificates
6. Performance optimizations
● vmagent: reduce CPU usage when sharding among remote storage systems is enabled
● vmalert: reduce CPU usage when evaluating high number of alerting and recording rules.
● vmalert: speed up retrieving rules files from object storages by skipping unchanged objects during reloading.
7. VictoriaMetrics k8s operator
● Add new status.updateStatus field to the all objects with pods. It helps to track rollout updates properly.
● Add more context to the log messages. It must greatly improve debugging process and log quality.
● Changee error handling for reconcile. Operator sends Events into kubernetes API, if any error happened during object reconcile.
See changes at https://github.com/VictoriaMetrics/operator/releases
8. Helm charts: charts/victoria-metrics-distributed
This chart sets up multiple VictoriaMetrics cluster instances on multiple Availability Zones:
● Improved reliability
● Faster read queries
● Easy maintenance
9. Other Updates
● Dashboards and alerting rules updates
● vmui interface improvements and bugfixes
● Security updates
● Add release images built from scratch image. Such images could be more
preferable for using in environments with higher security standards
● Many minor bugfixes and improvements
● See more at https://docs.victoriametrics.com/changelog/
Also check the new VictoriaLogs PlayGround https://play-vmlogs.victoriametrics.com/
The Power of Visual Regression Testing_ Why It Is Critical for Enterprise App...kalichargn70th171
Visual testing plays a vital role in ensuring that software products meet the aesthetic requirements specified by clients in functional and non-functional specifications. In today's highly competitive digital landscape, users expect a seamless and visually appealing online experience. Visual testing, also known as automated UI testing or visual regression testing, verifies the accuracy of the visual elements that users interact with.
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...Paul Brebner
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
Superpower Your Apache Kafka Applications Development with Complementary Open...Paul Brebner
Kafka Summit talk (Bangalore, India, May 2, 2024, https://events.bizzabo.com/573863/agenda/session/1300469 )
Many Apache Kafka use cases take advantage of Kafka’s ability to integrate multiple heterogeneous systems for stream processing and real-time machine learning scenarios. But Kafka also exists in a rich ecosystem of related but complementary stream processing technologies and tools, particularly from the open-source community. In this talk, we’ll take you on a tour of a selection of complementary tools that can make Kafka even more powerful. We’ll focus on tools for stream processing and querying, streaming machine learning, stream visibility and observation, stream meta-data, stream visualisation, stream development including testing and the use of Generative AI and LLMs, and stream performance and scalability. By the end you will have a good idea of the types of Kafka “superhero” tools that exist, which are my favourites (and what superpowers they have), and how they combine to save your Kafka applications development universe from swamploads of data stagnation monsters!
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
What is Continuous Testing in DevOps - A Definitive Guide.pdfkalichargn70th171
Once an overlooked aspect, continuous testing has become indispensable for enterprises striving to accelerate application delivery and reduce business impacts. According to a Statista report, 31.3% of global enterprises have embraced continuous integration and deployment within their DevOps, signaling a pervasive trend toward hastening release cycles.
Building the Ideal CI-CD Pipeline_ Achieving Visual PerfectionApplitools
Explore the advantages of integrating AI-powered testing into the CI/CD pipeline in this session from Applitools engineer Brandon Murray. More information and session materials at applitools.com
Discover how shift-left strategies and advanced testing in CI/CD pipelines can enhance customer satisfaction and streamline development processes, including:
• Significantly reduced time and effort needed for test creation and maintenance compared to traditional testing methods.
• Enhanced UI coverage that eliminates the necessity for manual testing, leading to quicker and more effective testing processes.
• Effortless integration with the development workflow, offering instant feedback on pull requests and facilitating swifter product releases.
Streamlining End-to-End Testing Automation with Azure DevOps Build & Release Pipelines
Automating end-to-end (e2e) test for Android and iOS native apps, and web apps, within Azure build and release pipelines, poses several challenges. This session dives into the key challenges and the repeatable solutions implemented across multiple teams at a leading Indian telecom disruptor, renowned for its affordable 4G/5G services, digital platforms, and broadband connectivity.
Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
This session delves into how these challenges were addressed through:
1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues.
These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.
Folding Cheat Sheet #6 - sixth in a seriesPhilip Schwarz
Left and right folds and tail recursion.
Errata: there are some errors on slide 4. See here for a corrected versionsof the deck:
https://speakerdeck.com/philipschwarz/folding-cheat-sheet-number-6
https://fpilluminated.com/deck/227
Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdfBaha Majid
IBM watsonx Code Assistant for Z, our latest Generative AI-assisted mainframe application modernization solution. Mainframe (IBM Z) application modernization is a topic that every mainframe client is addressing to various degrees today, driven largely from digital transformation. With generative AI comes the opportunity to reimagine the mainframe application modernization experience. Infusing generative AI will enable speed and trust, help de-risk, and lower total costs associated with heavy-lifting application modernization initiatives. This document provides an overview of the IBM watsonx Code Assistant for Z which uses the power of generative AI to make it easier for developers to selectively modernize COBOL business services while maintaining mainframe qualities of service.
The Ultimate Guide to Top 36 DevOps Testing Tools for 2024.pdfkalichargn70th171
Testing is pivotal in the DevOps framework, serving as a linchpin for early bug detection and the seamless transition from code creation to deployment.
DevOps teams frequently adopt a Continuous Integration/Continuous Deployment (CI/CD) methodology to automate processes. A robust testing strategy empowers them to confidently deploy new code, backed by assurance that it has passed rigorous unit and performance tests.
2. What is
Clean
Architecture
?
Clean Architecture combines a
group of practices that produces
systems with the following
characteristics:
❏ Testable
❏ UI-Independent
❏ Independent of databases,
frameworks, libraries
3. Why should I use Clean Architecture?
Architectures allow
decoupling different units of
your code in an organized
manner. That way the code
gets easier to understand,
modify and test.
Clean Architecture may be
complicated - but it`s worth it!
4. The main and most complicated topic in
Clean Architecture:
➔ The Dependency Inversion (SOLID)
- High-level modules should not depend on low-level modules.
Both should depend on abstractions.
- Abstractions should not depend on details. Details should
depend on abstractions.
5.
6. UI
UI calls method from
Presenter/Controller.
Presenters
Presenters execute
Use case.
Use Cases
Use case combines
data from Repositories.
Repository
Each repository
returns data from a
data source (Cache or
Remote.
Entities
These describe the
basic data structures
we work it!
8. The layers
Presentation
This module includes
ViewModels and the UI
(Activities & Fragments)
All dependencies from DI
can be connectable in this
module.
Presentation Layer
depends on Domain Layer.
Domain
The most INNER part of
the layers (no
dependencies with other
layers) and it contains
Entities, Use cases &
Repository Interfaces.
Data
This layer contains
Repository
Implementations and 1 or
multiple Data Sources.
Repositories are
responsible to coordinate
data from the different
Data Sources. Data Layer
depends on Domain Layer.
9. Conclusion
The features of Clean
Architecture:
● Dependency Rule
● Abstraction
● Communication between
layers
Notice!
Deep understanding of the
dependency inversion principle
and how it works then link the
layers properly.
10. Thank you!
Hope you`ll use these
presentation to find out
about Clean Architecture
and use it to implement
the structure of your
projects!
By Zahra Heydari