A sample iOS app built using the Clean Swift architecture. Clean Swift is Uncle Bob's Clean Architecture applied to iOS and Mac projects. CleanStore demonstrates Clean Swift by implementing the create order use case described by in Uncle Bob's talks.

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A practice implementation of a clean web store using isolation and dependency injection.

experimenting w/ CleanSwift architecture

An Example of Clean Architecture or VIP (Swift) with ViewCode

Examen Full-Stack Senior (C# .NET Core, MySQL, Docker, React/Next.js)

This is an unsupervised cluster analysis for identifying groups of approaches most similar in functionality to MidSemI. We evaluated the integration systems in related works section against the assessment presented in Table 3. The results are summarized in Table 4. In order to achieve this purpose, we transformed Table 4 into a matrix with numerical values that denote normalized distances (in the range [0-1]) among features, values close to 1 indicate proximity to the best implementation of this feature or dimension. We calculated distances related to dimensions by summing distances of all the features belongs to given dimension divided by their number. Figure 14 (a) reports the distances values for both features and dimensions. We employed *Weka* [https://www.cs.waikato.ac.nz/ml/weka/] which is a well-known machine learning analysis tool to perform the clustering. We applied the K-Means clustering algorithm with K=4. By clustering ten systems to four clusters, we aim at identifying a medium groups of systems which share similar function and to reveal dependencies encoded in the vector representation. Figure 14 (b) depicts the clustering results. The first cluster includes MidSemI along with FuhSen and LDIF systems. The second cluster contains OD CleanStore and LSM tools. The Third cluster holds MOMIS and SWIS systems. The rest of systems Mastro, KRAFT and OBSERVER form the last cluster. We generated the positions of clusters randomly, and the radius of each bubble is proportional to the sum of features distances for each system. Figure 15 (a) and (b) plots comparison of features and dimensions coverage respectively concerning only the first cluster that holds systems closest to our MidSemI approach (FuhSen and LDIF).

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Wipe away all the .DS_Store s from you system

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Just an Application Following Clean Architecture

Clean swift architecture app

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Verwaltung für Dinge in Kellern, Dachböden, Kammern, etc.

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Sample application built using ASP.NET Core and Entity Framework Core. The architecture uses CQRS, MediatR and Fluent validation to achive the Clean Architecture

This use case was presented in Uncle Bob’s Why can’t anyone get Web architecture right? talk. It originates from Ivar Jacobson’s book Object Oriented Software Engineering: A Use Case Driven Approach. It is a very good example as it encompasses most of the features of Clean Swift except routing.

Working through the Clean Swift example

Learning + Practicing clean swift

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The Clean Swift sample project.

Learning about clean archeteciture with iOS

In this project i using clean swift to create communications between files

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using clean architecture with Swift Programming Lenguage.