Skip to main content

Quality Assurance for mobile applications

[PLACEHOLDER]
By: Herak

Quality Assurance is an important aspect of Software Development Cycle and it has become even more important with the advent of mobile applications. This is because mobile applications are typically more complex and needs to be supported across a plethora of platforms. Often the same application needs to be coded in different programming languages to support different platforms for example Objective C for iOS and Java for Android. This results in multiple code base and requires multiple streams of testing. QA also need to pay special attention to ensure that the user experience of the app remains somewhat similar across the multiple environments. Thus traditional QA practices need to evolve to adapt to the needs of the mobile app testing.

In this article I am going to discuss the first two phases of QA, Preparatory Phase and Testing Phase. I will discuss how QA needs to adapt to the testing need of mobile applications and include links to resources which will help with the QA process.

Preparatory Phase

The Preparatory Phase is the phase when you prepare all the documentation and environments for the testing. This is the phase to ask questions about the business requirements and outline test plan and test cases.
There are three key steps in the Preparatory Phase phase

  1. Identify the target devices
  2. Create test plan and test cases
  3. Setup the test environments and devices

1. Identify the target devices

There are multiple devices in the market such as iPhone, Android, Blackberry, Windows Mobile, etc and each of these devices support number of versions of the operating system for instance iPhone supports iOS 3 to iOS 7 whereas Android supports 1.5 to 4.3. So it’s important to identify which device and operating system combination the application will support.

Make sure you have the answers to the following questions in the Business Requirement Document (BRD):
- Which devices are we supporting?
- Are we supporting tablets and smartphones?
- Which version of the operating systems are we supporting?
- Will the app have any functionality that may disabled in older versions?

The last two questions could be driven by the features of the application. For instance if the application uses any of the features in the latest iOS e.g. iOS 7 then the application needs to support the latest iOS. Then the question arises if the application should support any of the older iOS in a limited capacity i.e. with some of the new features disabled. QA should work with the Business Analyst or the Product Analyst to determine the target devices. The decision will also depend on the time allocated for QA and the application release date. This is important as there is a plethora of devices and operating systems combination out in the market.

Another key factor to take into account is the market share of these devices and operating system and the target geography. Visit the following link to StatCounter website to find the real time stat http://gs.statcounter.com/ 


2. Create test plan and test cases

Use the answers to the questions in Step 1 to create a matrix to document the target device and operating system combination in the test plan. Then prepare the test cases taking all the information you gathered in Step 1 into account. The test cases for mobile application testing needs to be more high level as the tasks within a mobile app is typically very simple and can be executed with a few simple clicks.

3. Setup the test environments and devices

Install the necessary software development kit (sdk) such as Xcode for iPhone, Android SDK for android, etc.

Typically all these sdk comes with a simulator that can be used for testing.

Also resource the main target devices for the final round of testing. Even though majority of the testing can be done on the simulator it is still advisable to test the app on the key target devices every now and then to ensure the usability is consistent between the simulator and the app.

Testing Phase

Once the build is ready use the respective sdk to run the application on a simulator. Make sure there are no compile errors and if there are warnings go through them to make sure they are not anything significant.

Once the build is in a reasonably good shape deploy the build to the device. Follow the necessary process to deploy the build to the device. Go through the resources below to find more information about deploying the build to devices.

Steps to deploy app to iPhone:
http://www.edumobile.org/iphone/iphone-programming-tutorials/submitting-iphone-apps-to-the-apple-app-store-a-step-by-step-guide/

http://support.brightcove.com/en/app-cloud/docs/step-step-guide-publishing-apple-app-store-using-windows

Steps to deploy app to Android device:

http://docs.xamarin.com/guides/android/deployment%2C_testing%2C_and_metrics/set_up_for_device_development

http://developer.android.com/tools/device.html

Steps to deploy app to Windows device:

http://msdn.microsoft.com/en-us/library/windowsphone/develop/ff402565(v=vs.105).aspx

Steps to deploy app to BlackBerry:
http://developer.blackberry.com/native/documentation/cascades/getting_started/tools/index.html

https://developer.blackberry.com/html5/documentation/running_your_app_on_a_device.html

Also pay special attention to the following when testing the app across the supported devices:

Apple iOS testing

- Make sure your app abides by the apple store review guidelines to avoid rejection. Here is the link to the review guidelines - https://developer.apple.com/appstore/resources/approval/guidelines.html




- Assure your app abides by the iOS Data Storage Guidelines
https://developer.apple.com/icloud/documentation/data-storage/

- Assure you app follows the Guidelines for using Apple Trademarks and Copyrights
http://www.apple.com/legal/intellectual-property/guidelinesfor3rdparties.html

Android testing

- Assure the android app follows the Android App Guidelines
http://developer.android.com/distribute/googleplay/quality/core.html

- Follow the Android Launch Checklist to deploy the app to the Google play
http://developer.android.com/distribute/googleplay/publish/preparing.html

- Assure the app abides by the Google Play Developer Program Policies
https://play.google.com/about/developer-content-policy.html

Blackberry testing

- Assure the app abides by the BlackBerry guidelines
https://developer.blackberry.com/design/bb10/

Windows mobile testing

- Assure the app follows the windows mobile guidelines otherwise the app will be removed from the windows app store
http://msdn.microsoft.com/en-us/library/bb158602.aspx

In conclusion mobile app testing provides more opportunity for QA to flex its muscle and to play a more vital role in the software development cycle. At the same time QA needs to be more careful and assure the app abides by the guidelines of the respective supported environments in order to avoid rejection. I’ll discuss these guidelines in more details in my future post and will outline test cases based on these guidelines.    

Trending posts

Apple's App Tracking Transparency sealing Meta's fate

If you have been following the recent news on Meta (formerly Facebook) you may have read that Meta recently projected their ad revenue will be cut by a staggering $10 billion in 2022 due to Apple’s new App Tracking Transparency feature (also known as ATT). This has resulted in Meta’s stock to plummet by over 20%. Photo by julien Tromeur on Unsplash - modified by Beolle So what is Apple’s ATT and how does it impact ad revenue? Apple has been releasing multiple privacy features for the last few years. This included Apple’s Mail Privacy Protection and Apple’s App Tracking Transparency feature. You can learn more about Apple’s Mail Privacy Protection in our earlier post by clicking here .  Apple’s App Tracking Transparency (ATT) was launched in iOS 14.5 and iPadOS 14.5 where it prompted users to select if they wanted the app to track their activities across other apps on the device. The prompt is displayed when the user opens an app like Facebook or Instagram for the first time o...

Reimagining Digital Experience Management: How Agentic AI is Transforming Adobe Experience Manager

 Adobe Experience Manager (AEM) has introduced powerful new Agentic AI capabilities designed to continuously improve and adapt digital experiences at the speed of AI. By integrating advanced AI orchestrators through Agent-to-Agent (A2A) and Model Control Protocol (MCP) tools, AEM enables brands to automate complex workflows and enforce compliance seamlessly across enterprise ecosystems. Through a suite of specialized agents, teams can transition from manual, weeks-long processes into fast, AI-assisted workflows powered by simple natural language prompts. Photo by Tunahan KALAYCI via Pexels   Here is a breakdown of the key agents driving AEM’s new Agentic capabilities, their value propositions, their guardrails, and their current availability status. 1. Brand Experience Agent. Overview. The Brand Experience Agent accelerates digital modernization through specialized sub-agents—the Experience Modernization Agent, Experience Production Agent, and Experience Development Agent. Tog...

Designing Habit Forming Mobile Application

Mobile Applications have become an integral part of our daily lives - we use mobile apps as alarm clocks to wake us up in the morning, to create to do lists when we start our day, to communicate with our colleagues at work via apps like Skype. We even check reviews of restaurants to visit on apps like Yelp and we seek entertainment on apps like Netflix and spotify. So what drives us to use these apps so seamlessly in our daily lives? Why we prefer some apps over others? Is there a science behind designing successful mobile apps like Facebook?  Photo by Peter C from Pexels A study in US revealed that a user between the age of 18 and 44 visits the Facebook app on average 14 times a day [1]. This shows that using the Facebook app is a daily routine for many of its users. This makes Facebook a great example of a habit forming mobile app which is designed with human psychology in mind that encourages habit forming behavior in its users .   I recently attended a seminar ...

Steer for a talent transformation strategy (and avoiding AI fatigue)

 There was a debate on whether to feature the term “AI” in the title of this article. Honestly, a key motivation for pursuing the research that led to this post was sparked by the widespread excitement about AI appearing constantly in our LinkedIn feed, to the point of feeling the fatigue, and even a bit disappointed in the algorithm of this, and the others, social media and content curated apps.  We soon discovered that there is an entire concept called "AI fatigue", not exactly how we were feeling it, but more about the mixed emotions people in the workforce have regarding the use of AI tools. Photo by Mart Production via Pexels (background updated with AI and Adobe  tech) From micro blog posts to video podcasts, lately, most of the tech content we encounter revolves around AI. They often sound or read very similar, usually mentioning the same few top providers. The articles (and social posts... at least the popular ones with paid-campaigns behind it) tend to focus less...

This blog uses cookies to improve your browsing experience. Simple analytics might be in place for pageviews purposes. They are harmless and never personally identify you.

Agreed