#software architectural pattern

[inestwebindia]

MVC (Model-View-Controller) is a software architectural pattern that separates an application into three main components: Model, View, and Controller. ASP.NET, a popular web application framework developed by Microsoft, leverages this architecture to build scalable, maintainable, and testable web applications. In this article, we’ll dive deep into the MVC architecture, how it works in ASP.NET, and why it is a go-to pattern for developers.

[codeonedigest]

Liskov Substitution Principle Tutorial with Java Coding Example for Begi...

Hello friends, new #video on #liskovsubstitutionprinciple #solidprinciples with #Java #coding #example is published on #codeonedigest #youtube channel. Learn #lsp #principle #programming #coding with codeonedigest.

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[dosomedev]

Do you know the Facade Pattern?

[intelliatech]

Top 10 ChatGPT Prompts For Software Developers

ChatGPT can do a lot more than just code creation and this blog post is going to be all about that. We have curated a list of ChatGPT prompts that will help software developers with their everyday tasks. ChatGPT can respond to questions and can compose codes making it a very helpful tool for software engineers.

While this AI tool can help developers with the entire SDLC (Software Development Lifecycle), it is important to understand how to use the prompts effectively for different needs.

Prompt engineering gives users accurate results. Since ChatGPT accepts prompts, we receive more precise answers. But a lot depends on how these prompts are formulated. 

To Get The Best Out Of ChatGPT, Your Prompts Should Be:

Clear and well-defined. The more detailed your prompts, the better suggestions you will receive from ChatGPT.

Specify the functionality and programming language. Not specifying what you exactly need might not give you the desired results.

Phrase your prompts in a natural language, as if asking someone for help. This will make ChatGPT understand your problem better and give more relevant outputs.

Avoid unnecessary information and ambiguity. Keep it not only to the point but also inclusive of all important details.

Top ChatGPT Prompts For Software Developers

Let’s quickly have a look at some of the best ChatGPT prompts to assist you with various stages of your Software development lifecycle.

1. For Practicing SQL Commands;

2. For Becoming A Programming Language Interpreter;

3. For Creating Regular Expressions Since They Help In Managing, Locating, And Matching Text.

4. For Generating Architectural Diagrams For Your Software Requirements.

Prompt Examples: I want you to act as a Graphviz DOT generator, an expert to create meaningful diagrams. The diagram should have at least n nodes (I specify n in my input by writing [n], 10 being the default value) and to be an accurate and complex representation of the given input. Each node is indexed by a number to reduce the size of the output, should not include any styling, and with layout=neato, overlap=false, node [shape=rectangle] as parameters. The code should be valid, bugless and returned on a single line, without any explanation. Provide a clear and organized diagram, the relationships between the nodes have to make sense for an expert of that input. My first diagram is: “The water cycle [8]”.  

5. For Solving Git Problems And Getting Guidance On Overcoming Them.

Prompt Examples: “Explain how to resolve this Git merge conflict: [conflict details].” 6. For Code generation- ChatGPT can help generate a code based on descriptions given by you. It can write pieces of codes based on the requirements given in the input. Prompt Examples: -Write a program/function to {explain functionality} in {programming language} -Create a code snippet for checking if a file exists in Python. -Create a function that merges two lists into a dictionary in JavaScript.  

7. For Code Review And Debugging: ChatGPT Can Review Your Code Snippet And Also Share Bugs.

Prompt Examples: -Here’s a C# code snippet. The function is supposed to return the maximum value from the given list, but it’s not returning the expected output. Can you identify the problem? [Enter your code here] -Can you help me debug this error message from my C# program: [error message] -Help me debug this Python script that processes a list of objects and suggests possible fixes. [Enter your code here]

8. For Knowing The Coding Best Practices And Principles: It Is Very Important To Be Updated With Industry’s Best Practices In Coding. This Helps To Maintain The Codebase When The Organization Grows.

Prompt Examples: -What are some common mistakes to avoid when writing code? -What are the best practices for security testing? -Show me best practices for writing {concept or function} in {programming language}.  

9. For Code Optimization: ChatGPT Can Help Optimize The Code And Enhance Its Readability And Performance To Make It Look More Efficient.

Prompt Examples: -Optimize the following {programming language} code which {explain the functioning}: {code snippet} -Suggest improvements to optimize this C# function: [code snippet] -What are some strategies for reducing memory usage and optimizing data structures? 

10. For Creating Boilerplate Code: ChatGPT Can Help In Boilerplate Code Generation.

Prompt Examples: -Create a basic Java Spring Boot application boilerplate code. -Create a basic Python class boilerplate code

11. For Bug Fixes: Using ChatGPT Helps Fixing The Bugs Thus Saving A Large Chunk Of Time In Software Development And Also Increasing Productivity.

Prompt Examples: -How do I fix the following {programming language} code which {explain the functioning}? {code snippet} -Can you generate a bug report? -Find bugs in the following JavaScript code: (enter code)  

12. Code Refactoring- ChatGPt Can Refactor The Code And Reduce Errors To Enhance Code Efficiency, Thus Making It Easier To Modify In The Future.

Prompt Examples –What are some techniques for refactoring code to improve code reuse and promote the use of design patterns? -I have duplicate code in my project. How can I refactor it to eliminate redundancy?  

13. For Choosing Deployment Strategies- ChatGPT Can Suggest Deployment Strategies Best Suited For A Particular Project And To Ensure That It Runs Smoothly.

Prompt Examples -What are the best deployment strategies for this software project? {explain the project} -What are the best practices for version control and release management?  

14. For Creating Unit Tests- ChatGPT Can Write Test Cases For You

Prompt Examples: -How does test-driven development help improve code quality? -What are some best practices for implementing test-driven development in a project? These were some prompt examples for you that we sourced on the basis of different requirements a developer can have. So whether you have to generate a code or understand a concept, ChatGPT can really make a developer’s life by doing a lot of tasks. However, it certainly comes with its own set of challenges and cannot always be completely correct. So it is advisable to cross-check the responses. Hope this helps. Visit us- Intelliatech

[understanding-react-native]

Discover the strengths and weaknesses of various mobile app architecture patterns like MVC, MVP, MVVM, and Clean Architecture to choose the best fit for your project.

[codertrend]

Task Manager App: Effortlessly Develop One

Create a Task Manager app using C# WPF and the MVVM pattern. #WPF # Tutorial #MVVM #C-Sharp #Development #Developer #CoderTrend

Using C#, WPF and the MVVM architecture to create a stunning and Useful Task Manager Application Welcome to our comprehensive series where we delve into the creation of a sophisticated Task Manager application using WPF (Windows Presentation Foundation). This journey is not just about building an application; it’s an exploration into the robust capabilities of C# and WPF, crowned with the…

[francescolelli]

Service Oriented Architecture (SOA) Design Principle: Coupling, Cohesion, and Granularity

This is a short preview of the article: In the realm of Service Oriented Architecture (SOA) design principles, the concepts of Service Coupling, Service Cohesion, and Service Granularity play pivotal roles in shaping a robust and effective architectural framework. Service Coupling refers to the degree of interdependence between any two

If you like it consider checking out the full version of the post at: Service Oriented Architecture (SOA) Design Principle: Coupling, Cohesion, and Granularity

If you are looking for ideas for tweet or re-blog this post you may want to consider the following hashtags:

Hashtags: #API, #APIs, #Cohesion, #ComputerScience, #Coupling, #DesignPatterns, #Granularity, #ServiceOrientedArchitecture, #SOA, #SoftwareArchitecture, #SoftwareEngineering, #SoftwarePatterns

The Hashtags of the Categories are: #Java, #Programming, #Python, #SoftwareEngineering

Service Oriented Architecture (SOA) Design Principle: Coupling, Cohesion, and Granularity is available at the following link: https://francescolelli.info/software-engineering/service-oriented-architecture-soa-design-principle-coupling-cohesion-and-granularity/ You will find more information, stories, examples, data, opinions and scientific papers as part of a collection of articles about Information Management, Computer Science, Economics, Finance and More.

The title of the full article is: Service Oriented Architecture (SOA) Design Principle: Coupling, Cohesion, and Granularity

It belong to the following categories: Java, Programming, Python, Software Engineering

The most relevant keywords are: API, APIs, Cohesion, computer science, Coupling, Design Patterns, Granularity, Service Oriented Architecture, SOA, software architecture, software engineering, Software Patterns

It has been published by Francesco Lelli at Francesco Lelli a blog about Information Management, Computer Science, Finance, Economics and nearby ideas and opinions

In the realm of Service Oriented Architecture (SOA) design principles, the concepts of Service Coupling, Service Cohesion, and Service Granularity play pivotal roles in shaping a robust and effective architectural framework. Service Coupling refers to the degree of interdependence between any two

Hope you will find it interesting and that it will help you in your journey

In the realm of Service Oriented Architecture (SOA) design principles, the concepts of Service Coupling, Service Cohesion, and Service Granularity play pivotal roles in shaping a robust and effective architectural framework. Service Coupling refers to the degree of interdependence between any two business processes. In the context of SOA, weak coupling is highly preferred as…

[flutteragency]

The Ultimate Guide to Enterprise Software Architecture Patterns

In this blog, you will explore the types of software architecture patterns for enterprises, their importance, pros, and how to select the appropriate one for your enterprise needs.

[gleecus-techlabs-blogs]

10 Essential Microservices Design Patterns

Database per service

Event driven architecture

CQRS (Command Quality Response Center)

Saga

BFF (Backends for Frontends)

Circuit breaker

API Gateway

Externalized configuration

Service Registry

Bulkhead pattern

[technicalfika]

Event-Driven Design Demystified: Concepts and Examples

🚀 Discover how this cutting-edge architecture transforms software systems with real-world examples. From e-commerce efficiency to smart home automation, learn how to create responsive and scalable applications #EventDrivenDesign #SoftwareArchitecture

In the world of software architecture, event-driven design has emerged as a powerful paradigm that allows systems to react and respond to events in a flexible and efficient manner. Whether you’re building applications, microservices, or even IoT devices, understanding event-driven design can lead to more scalable, responsive, and adaptable systems. In this article, we’ll delve into the core…

[codeonedigest]

Java Design Pattern Tutorial Explained with Examples for Beginners and Students

Full video link https://youtu.be/ZDJfDMYlFZc Hello friends, a new #video about #Java #Design #Pattern is published on #codeonedigest #youtube channel. This video covers topics 1. What is #DesignPattern? 2. Why Design Pattern is important in #SoftwareDes

Java design pattern with examples for students, beginners and software engineers. Complete tutorial of Java design pattern explained with the code. Java design pattern is the backbone of software architecture design & development. Gang of Four design patterns are articulated for Object oriented programming languages like Java, Python, Scala, kotlin etc. Hello Friends, Welcome back to the…

[phulkor]

Enterprise integration patterns - cheat sheet

~ sauce: camel.apache.org

[moose-mousse]

Do you have any recommendations for a small project to build using c++? I've been interested in learning c++ for gamedev in godot. I already have programming experience so I woudn't be starting from the basics (and I own A Tour of C++ by Stroustrup), but at this point I'm wondering whether I should just go through A Tour and then just get stuck into some sort of game idea.

I am not familiar with godot (It is on the list... might honestly look into it in a weeks time) I will steal some advice from Jason Turner. Pick a project you think you can do. Because it will be harder than you think. That is just how it is until you get more experienced. In the meantime, as soon as you have the basics (Writing and calling functions, and classes ) I would start doing something that will require Architecture. Not a lot, but something that requires several distinct parts. Thinking gamedev, maybe a character on screen moving. If it seems like a lot to do, then try figuring out how automated tests works in godot. And then write a program that writes basic ZOMBIE tests for a function. You will learn a lot, and will help you write tests for your code later. Try making a very simple BDD diagram before you start. Simply to force you to think about what it is you want. Keep them simple. Here is mine for my robot PROTO:

Simple boxes, arrows, and explanations for myself to keep things clear. And PROTO is a complex system with many moving parts. Yours should be way way simpler. Arrows and boxes makes everything clearer. And then start coding! When classes or functions get too big, split them up. If you have trouble splitting them up without everything being dependent on everything, try drawing the diagrams again, and ask yourself what you are really trying to do with that chunk of code, and see if there are any software patterns that fits your needs. Refactor your code after you get it to work, make it easier to change and read. Ignore efficiency. pre-mature optimization is how projects die. Make the code easy to read and easy to change. If you run into efficiency issues later then it will be easy to fix. And keep making the simple diagrams. They will help you become better, by having you think about your plan, and how you are coming along. I hope this was helpful ^~^

[understanding-react-native]

Overview of iOS App Architecture Patterns and Descriptions

Discover key iOS mobile app architecture patterns, their benefits, and use cases in this concise guide, designed to enhance your app development skills and efficiency.

[blubberquark]

When "Clean" Code is Hard to Read

Never mind that "clean" code can be slow.

Off the top of my head, I could give you several examples of software projects that were deliberately designed to be didactic examples for beginners, but are unreasonably hard to read and difficult to understand, especially for beginners.

Some projects are like that because they are the equivalent of GNU Hello World: They are using all the bells and whistles and and best practices and design patterns and architecture and software development ceremony to demonstrate how to software engineering is supposed to work in the big leagues. There is a lot of validity to that idea. Not every project needs microservices, load balancing, RDBMS and a worker queue, but a project that does need all those things might not be a good "hello, world" example. Not every project needs continuous integration, acceptance testing, unit tests, integration tests, code reviews, an official branching and merging procedure document, and test coverage metrics. Some projects can just be two people who collaborate via git and push to master, with one shell script to run the tests and one shell script to build or deploy the application.

So what about those other projects that aren't like GNU Hello World?

There are projects out there that go out of their way to make the code simple and well-factored to be easier for beginners to grasp, and they fail spectacularly. Instead of having a main() that reads input, does things, and prints the result, these projects define an object-oriented framework. The main file loads the framework, the framework calls the CLI argument parser, which then calls the interactive input reader, which then calls the business logic. All this complexity happens in the name of writing short, easy to understand functions and classes.

None of those things - the parser, the interactive part, the calculation - are in the same file, module, or even directory. They are all strewn about in a large directory hierarchy, and if you don't have an IDE configured to go to the definition of a class with a shortcut, you'll have trouble figuring out what is happening, how, and where.

The smaller you make your functions, the less they do individually. They can still do the same amount of work, but in more places. The smaller you make your classes, the more is-a and as-a relationships you have between classes and objects. The result is not Spaghetti Code, but Ravioli Code: Little enclosed bits floating in sauce, with no obvious connections.

Ravioli Code makes it hard to see what the code actually does, how it does it, and where is does stuff. This is a general problem with code documentation: Do you just document what a function does, do you document how it works, does the documentation include what it should and shouldn't be used for and how to use it? The "how it works" part should be easy to figure out by reading the code, but the more you split up things that don't need splitting up - sometimes over multiple files - the harder you make it to understand what the code actually does just by looking at it.

To put it succinctly: Information hiding and encapsulation can obscure control flow and make it harder to find out how things work.

This is not just a problem for beginner programmers. It's an invisible problem for existing developers and a barrier to entry for new developers, because the existing developers wrote the code and know where everything is. The existing developers also have knowledge about what kinds of types, subclasses, or just special cases exist, might be added in the future, or are out of scope. If there is a limited and known number of cases for a code base to handle, and no plan for downstream users to extend the functionality, then the downside to a "switch" statement is limited, and the upside is the ability to make changes that affect all special cases without the risk of missing a subclass that is hiding somewhere in the code base.

Up until now, I have focused on OOP foundations like polymorphism/encapsulation/inheritance and principles like the single responsibility principle and separation of concerns, mainly because that video by Casey Muratori on the performance cost of "Clean Code" and OOP focused on those. I think these problems can occur in the large just as they do in the small, in distributed software architectures, overly abstract types in functional programming, dependency injection, inversion of control, the model/view/controller pattern, client/server architectures, and similar abstractions.

It's not always just performance or readability/discoverability that suffer from certain abstractions and architectural patterns. Adding indirections or extracting certain functions into micro-services can also hamper debugging and error handling. If everything is polymorphic, then everything must either raise and handle the same exceptions, or failure conditions must be dealt with where they arise, and not raised. If an application is consists of a part written in a high-level interpreted language like Python, a library written in Rust, and a bunch of external utility programs that are run as child processes, the developer needs to figure out which process to attach the debugger to, and which debugger to attach. And then, the developer must manually step through a method called something like FrameWorkManager.orchestrate_objects() thirty times.