"iOS: MVVMC" - Aleksandr Nikolajev from Mooncascade

May 18, 20172 likes2,710 views

This document introduces the MVVMC architecture pattern for iOS apps. MVVMC treats the view controller as a dumb presenter and separates concerns into four main components: model, view, view model, and coordinator. The view model acts as the link between the model and view, updating the view with data from the model and notifying the coordinator of state changes. This improves testability over Apple's MVC pattern by removing tight coupling between views and controllers.

iOS: MVVMC
MobileMonday
15 May 2017
Aleksandr Nikolajev
iOS developer

ME
• Graduated as material scientist in University of
Tartu
• Joined Mooncascade in 2015
• FinTech, transportation, multimedia, sports,
utilities

AGENDA
• Introduction to MVVMC and it’s pieces
• Some examples
• Unit testing

• Tight coupling between View and Controller
• Hard to test interactions between View and
Controller
• Model can be testable
THE PROBLEM WITH
APPLE’s MVC

• An architecture pattern
• Model - View - ViewModel - Coordinator
• MVVMC treats UIViewController as a dumb
presenter - just a view
WHAT IS MVVMC ?

HOW IT WORKS ?
• Coordinator - owns View and/or another Coordinator(s), notiﬁes Coordinator(s)
• View - owns ViewModel, notiﬁes ViewModel (e.g button tap)
• ViewModel - owns Model, updates View, notiﬁes Coordinator

Model
• Usually a protocol
• C.R.U.D - Create, Read, Update, Delete
• Uses functions, NOT properties
• Injected into ViewModel

"iOS: MVVMC" - Aleksandr Nikolajev from Mooncascade

ViewModel
• Usually a class
• Independent of UIKit
• Injected into View and has no idea what the View is
• Business logic
• Operate with Model
• Provide presentation data to view and notify if that data has
changed
• Communicate states to Coordinator

Coordinator
• Declared as a protocol
• Handle navigation
• Create View and inject ViewModel into it

COMPLEX FLOWS
• Many UIViewControllers
• Many options to choose where to go
• Does the UIViewController has to know what to
show next?

View
• UIViewController is also a View !!!
• Present human readable data
• Do the layout
• Inform ViewModel about interactions

NOT ONLY UIViewController
• There is no rule about using ViewModels only
with UIViewController
• You can use ViewModels on almost on every UI
element
• UITextField, UIButton, …

NOT ONLY UIViewController
• This will decrease your code lines in ViewModel
• Makes code more distributed and increases
reusability
• Adds more ﬂexibility to write unit tests

HOW IT COMES
TOGETHER?
• The GOD — AppCoordinator
• Only AppDelegate knows about AppCoordinator
• Desides what to show when app is ﬁnished
launching

UNIT TESTING
• ViewModel gets notiﬁed about events happened
in the view - we can test what is the result
• Test if presentation data is formatted correctly (e.g
convert Date object into formatted date string)
• Test if correct delegate method is called when it’s
needed to move on with the ﬂow
• Test if errors are shown to view

• Well distributed code
• Good testability
• Easy of use
THE PROFIT

• MVVM-C A simple way to navigate 
http://tech.trivago.com/2016/08/26/mvvm-c-a-
simple-way-to-navigate
• iOS Architecture Patterns 
https://medium.com/ios-os-x-development/ios-
architecture-patterns-ecba4c38de52
REFERENCES

If you wish to play with the code, clone this
repo
https://github.com/sasnik/MoMoMVVMC

こちらは、iOSDC Japan 2021での登壇資料になります。 https://iosdc.jp/2021/ 現在業務で携わっている「Globis学び放題」のiOSアプリ内で利用されている動画プレイヤー機能をベースに、機能を実現していく中で事前に理解をしておいたり、実装を進めていく際に押さえておくと良さそうな部分についての解説を、以下の様な3つ流れで紹介したものになります。 1. 動画プレイヤー機能において必要な基本事項と操作部分の解説 2. 動画プレイヤーアプリで特徴的な機能事例と実装ポイントの紹介 ※動画プレイヤーを便利に利用して頂くための工夫や、アイデアを実現するヒントとなる部分に少しフォーカスをした内容になります。 3. 動画再生に関連するUI実装や表現における考察 ※動画プレイヤーや動画を活用する機能を持つアプリにおける、UI実装で活用できそうな要素や特徴に触れたいと思います。以下、CfP提出時の原文です: --- 動画や音声については私自身これまではほとんど触れたことはありませんでしたが、これらを取り扱うサービス開発の中に身を置いた経験を通じて、アプリならでは機能ロジックとUI体験との調和を生み出すための奥深さや工夫の深淵を垣間見ることができた様にも感じました。その一方で、普段私達はiOSアプリを通じて多くの動画や音声に触れていてとても身近な存在ではあるのに、いざ実装しようとすると「あの機能と似たイメージのものを作りたいんだけど、どうすればいいんだろう...?」とその当時に知らなかった故にやきもきしていた経験もしました。本発表では、 - Apple公式ドキュメントや掲載サンプルから紐解く押さえておきたい基本部分のご紹介 - 動画の再生や停止といった基本的なプレイヤーとしての操作実装や画面レイアウトに関する解説 - アプリがバックグラウンドに移行した際にも連続して音のみの再生へ移行する機能 - 他のアプリを利用しながら動画再生をするPicture in Pictureの機能と実装に関する部分 - 普段使い慣れている動画再生アプリ等でよくお目にかかる機能や振る舞いを実現する際のヒント - 動画再生プレイヤーアプリに付随するUI実装や表現に関する説明について、簡単ではありますがご紹介と解説ができればと考えております。本発表につきましては「機能を実現するための実装に関するはじめの一歩を踏み出す」ための難易度を想定しておりますが、実際に動作するサンプルコードを用いた検証や試行錯誤を通して感じた実装で押さえておくと役に立った部分や、実務を通して実装した知見等が少しでもお役に立つことができればとても嬉しく思います。

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Scientists meet Entrepreneurs - AI & Machine Learning, Tambet Matiisen, Unive...MobileMonday Estonia

AI is advancing rapidly and will have wide-ranging impacts. It is learning to perform tasks beyond perception like complex algorithms, databases, and user interfaces. For algorithms, neural networks can now replicate existing algorithms like Photoshop filters with constant time and memory usage, and their performance can be adjusted based on accuracy or speed needs. For databases, learned indexes can provide faster lookups and use less storage than traditional indexes. For user interfaces, AI is starting to automatically generate UI elements. To stay relevant, people should learn AI through available online courses.

Scientists meet Entrepreneurs - AI & Machine Learning, Dima Fishman, Universi...MobileMonday Estonia

The document discusses how deep learning is being applied in medicine and biology. It provides examples of deep learning being used to detect diabetic retinopathy and skin cancer at performance levels comparable to experts. While deep learning has achieved human-level performance in some medical image analysis tasks, it notes that applying deep learning to medicine faces challenges due to the complexity of medical data and difficulties obtaining large datasets due to privacy and cost issues.

Space Edition, Sven Lilla, ESA BICMobileMonday Estonia

Space Edition, Kadri Bussov, EST CubeMobileMonday Estonia

This document discusses the challenges of developing space hardware and fitting into the global market. It identifies three main challenges for space hardware providers as finding customers, accessing finance, and availability of skilled staff. Additional challenges for developing space hardware in Estonia include long and expensive supply lines, restricted access to infrastructure and potential clients, and a shortage of senior space industry professionals. The document provides recommendations for addressing these challenges such as pursuing international education programs in space technology, participating in competitions, and choosing a start-up location strategically.

Space Edition, Kalev Koppel, KappaZettaMobileMonday Estonia

This document discusses Kappazeta's use of deep learning and satellite imagery to detect grassland mowing for agricultural subsidy verification. Some key points: 1) Kappazeta has developed an automated country-wide grassland mowing detection system using Sentinel-1/-2 satellite imagery time-series to help the Estonian Paying Agency verify subsidy claims as required by the EU Common Agricultural Policy. 2) The system provides 90% detection accuracy, 95% coverage of Estonia, and status updates within 24 hours using over 7TB of satellite images from 2017. 3) While the technology shows promise, the work involves many challenges including inconsistent data, limited training data, and complex software development

Space Edition, Dr. Ali Nadir Arslan MobileMonday Estonia

Copernicus is the European Union's Earth observation program that provides free and open access to data and processing tools. It includes a series of Sentinel satellites that monitor the Earth's land, atmosphere, oceans and climate. The document discusses accessing Copernicus data through tools like SNAP, QGIS and Pytroll. It also describes the six Copernicus services that provide thematic data products on topics like marine monitoring, land cover mapping, and emergency response.

Product Marketing, Kair Käsper, PipedriveMobileMonday Estonia

Kair Käsper has worked as director of product marketing and previously ran digital projects at an advertising agency. He created and sold a digital agency, and now co-founded a SaaS company focusing on free trials. As director of product marketing, his responsibilities include customer and market research, competitor tracking, developing value propositions and messaging, pricing and packaging, and enabling sales and partnerships.

Product Marketing, Marelle EllenMobileMonday Estonia

Machine learning can be used in marketing in supervised and unsupervised ways to better target customers. Supervised learning uses labeled training data to classify customers, while unsupervised learning finds hidden patterns in unlabeled data. These techniques can help analyze existing customers, detect the most valuable ones, prevent customer churn, recommend the right products to buyers, and power personalized email campaigns and creative marketing strategies.

Product Marketing, Mattias Liivak, FortumoMobileMonday Estonia

The document discusses how marketing should focus on ideas and insights rather than directly marketing a company's product, which can be invisible to customers. It recommends that marketing generate answers to customer questions, share internal data insights, and ideas that can be packaged and marketed through blogs, syndication, social media, email marketing and retargeting to generate inbound leads for sales. An effective marketing stack is also needed that utilizes various tools to implement idea marketing and feedback loop between customers, sales, and marketing.

What Does it take to Develop Kickass Products?, Laura NoodaperaMobileMonday Estonia

This document summarizes the key findings from interviews conducted as part of a Jobs to be Done analysis of Teamweek, a project management tool. The interviews identified common habits, anxieties, and jobs among managers using paying workspaces. Key findings include that previous systems were often non-existent, creating a feeling of lost information and lack of control. Teamweek helps by providing an easy to use visual overview and collaboration features. Based on these findings, the company has rewritten its strategy and mission, is experimenting with new messaging, and has plans to create product stories and marketing opportunities.

What Does it take to Develop Kickass Products?, Britt MaasaluMobileMonday Estonia

This document discusses how to effectively work with external teams to create successful products. It identifies that external teams can include different offices within a company, freelancers, or external companies. Key obstacles include distance, cultural differences, and personal attributes. To overcome these challenges, the document recommends having team effort, self-discipline, leadership as a role model, team support, agreed upon processes, organized work, communication, and face-to-face meetings to build respect and trust. Potential downfalls include incompatibility, differing work methods, location/time zone issues, and lack of communication or motivation. With the right approach, the document concludes that external teams can be highly effective.

Meeting Female Entrepreneurs in Tech, Triinu SirgeMobileMonday Estonia

Triinu Sirge is an ergonomist who founded Ergoway OÜ to provide ergonomic and occupational health and safety services. She discusses how ergonomics can be used to improve work environments and reduce musculoskeletal disorders. Applying ergonomic principles such as adjustable equipment, standing desks, and taking breaks can help reduce issues like neck, back, and eye strain while increasing productivity and well-being.