February 23, 2021 by Egon Wuchner and Konstantin Sokolov

We applied our DETANGLE analysis suite to the Corona-Warn-App for iOS and Android to assess the quality and other risks related to maintainability and extensibility. Up to version 1.11, we determined how features and defects are reflected in the code, measured architecture quality, estimated technical debt and analyzed knowledge distribution risks.

First of all, we would like to express our appreciation in all clarity for what has been achieved with the creation of the Corona-Warn-App. The overall system was developed under high media attention, tight time frames, political pressure and very high data protection requirements. With this blog, we would now like to point out quality aspects and risks that, in our view, should be given attention after an initial development stage.

Although the current code quality metrics from SonarQube, the tool used for code analysis during the development of the Corona-Warn-App, repeatedly show a very good rating for both apps up to version 1.11, there are nevertheless striking findings that contradict this good picture in parts. In this post, we will look at the results for the iOS-version of the app.

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October 29, 2020 by Konstantin Sokolov and Ural Sezer

This topic has been published as “Architektur-Hotspots aufspüren” in the 01/2020 edition of JAVAPRO.
The complete article in German is available here as PDF.

Introduction

Structural dependency analyses are of limited significance. In some cases they do not capture the essential architecture hotspots, as we will show by means of a code example. The feature modularity concepts presented here are a new way of understanding system complexity. They aim at identifying architecture hotspots that increase the (maintenance) effort for new features.

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