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A Beginner’s Guide to Types of Testing in Swift

3 minutes, 33 seconds read

It’s very human to skip tests. But, while developing enterprise apps, testing is something that should never be compromised. If you don’t test, there will be no way to find out the application performance and determine user experiences.

Testing is a must! You might already know that you should write tests for your code and UI, but you might not know — how? I’ll walk you through types of tests that developers usually perform on Swift programming language in order to help you deliver a supreme-quality app to your user. 

Whether you’re building a new application or expanding the existing app, you might want to test it on the go. Testing in swift is as simple as building the app itself. (For your information, the Xcode also tests the application). All you need is test cases and an idea about where code usually goes wrong. 

But first, it’s necessary to find out what to test.

Developing an App? What to Test?

Start with the basics. You must write mandatory tests if you plan to expand the application.

Tests usually cover the following issues.

  1. Core functionality: Model classes and methods and their interactions with the controller
  2. The most common UI workflows
  3. Boundary conditions
  4. Bug fixes

Let’s take a quick look at the types of testing while developing an app in Swift.

#1 Unit testing using Xcode

It is a process of creating small functionality-based tests for a particular unit of code, which will eventually ensure that all other units will pass the test.

The Test navigator provides the easiest way to work with tests; you’ll use it to create test targets and run tests against your app.

#2 UI Testing 

UI testing is useful for testing interactions with the User interface. In UI testing, the developer needs to find the app’s UI objects through queries, synthesizing events. Tester has to then send the events to those objects. The API lets you examine the UI object’s properties and state which you can compare against the expected state.

#3 Performance Testing

A performance test uses a block of code that you want to evaluate. It is then run 10 times to collect the average execution time and the standard deviation for the runs. The average of these individual measurements (of the test run) are compared against the from a benchmark value to evaluate the success/failure of the project.

It’s very simple to write a performance test: You just place the code you want to measure into the closure of the measure().

Bonus – Code Coverage

The code coverage tool tells you about the parts of code that were actually executed during your tests. This way, you’ll know the parts of the app code that aren’t yet tested.

You can enable code coverage by editing the scheme’s Test action. Post this, check the Gather coverage for check box under the Options tab:

Code Coverage - Swift

Now:

  1. Run all tests (Command-U)
  2. Open the Report navigator (Command-9)
  3. Select Coverage under the top item in that list (image below):
Report Navigator

You can see the list of functions and closures in SearchViewController.swift by clicking the disclosure triangle:

Search View Controller

Scroll down to updateSearchResults(_:) to see that coverage is 87.9%.

Now:
Click the arrow button for this function to open the source file to the function. As you hover over the coverage annotations in the right sidebar, sections of code highlight green or red:

Code Coverage Annotations - Testing in Swift

The coverage annotations show how many times a test hits each code section. Sections that weren’t called are highlighted in red. This implies — the for-loop ran 3 times, but nothing in the error paths were executed.

You can also increase the coverage of this function by duplicating abbaData.json, then edit it so it causes the different errors. For example, change “results” to “result” for a test that hits print(“Results key not found in dictionary”).


We help enterprises mitigate technical & business risk by securing vulnerable blind spots. Check out our testing services.

For your specific requirements, please feel free to drop us a word at hello@mantralabsglobal.com


About the author:

Anand Nanavaty is a Software Engineer with Mantra Labs. He has been deeply involved in mobile app development for the company’s B2B clients. Apart from coding, testing and experimenting with different application development frameworks, Anand loves travelling, trekking, mountaineering, sports (especially cricket), watching movies and sometimes making short films. 

Further reading:

For in-depth understanding of testing in Swift, you can refer to — Writing Test Classes and Methods

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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