Android Development Trends With AI and Machine Learning in Testing
Android application design trends are continually changing; it's important to keep up with the latest technology updates to stay competitive.
Join the DZone community and get the full member experience.Join For Free
Nowadays, applications are not just made for mobile devices but also for e-readers, gadgets, and other Internet-connected devices. There is a vast number of available Android devices, and as you have probably realized, apps are becoming smarter as well.
QA professionals often test such features using browser-independent and cross-platform software testing, which makes use of machine learning (ML) and artificial intelligence (AI).
Using machine learning, we can improve product performance and reduce maintenance costs. Software testing can be made more efficient by using AI-powered tools as well.
Soon, you’ll learn more about these technologies and five other trending Android development trends.
Android apps continue to go through constant changes, largely as a result of Google's constant innovations and user experience updates.
Would you like to create or have a mobile app designed and developed for your business? In that case, you must gain a deep understanding of the latest Android app development trends to develop successful products.
Google I/O 2016 was the first time Instant Apps were unveiled, but they are currently only available on Android 5.0 Lollipop devices. As the name implies, users can run these apps instantly without having to install them.
While instant Android apps are still relatively uncommon, their popularity is steadily growing.
They can be accessed straight from the cloud and are just as easy to navigate as websites. Consequently, these apps don't consume extra storage space on your phone.
Recent years have seen blockchain technology attract quite a bit of attention. The technology is expected to take center stage in the future as more and more Android apps use decentralized currencies.
To maximize the potential of this technology, you must make it accessible to as many users and investors as possible. There are several advantages to using blockchain technology, including:
- Reduced data corruption
- Enhanced performance in case of network interruptions
- Increased data security
- Data transaction protection.
As users demand real-time information, many developers are keen on using location-based features to improve their experience further.
The market for beacons has been around since 2013. Bluetooth and WiFi-enabled devices within range of beacons can use them to receive signals and offer services to different users.
Business owners with android mobile applications, such as dining establishments and hotels, get a lot out of this technology.
Internet of Things (IoT)
Smartphones have become a gateway to our most valuable data. IoT technology is growing so quickly that by 2025, there will be around 27 billion gadgets connected to the IoT.
Thousands of consumer and industrial devices use chips to store and exchange data.
As more and more objects are connected to the internet via embedded devices — such as home electronics, cars, air conditioners, and refrigerators — real-time connection now exists around everyone and everything.
Have you ever used apps such as Skype and Replika? If yes, then you might have experienced receiving multiple messages sent by the system on behalf of someone else. They're known as chatbots.
There is no sign that chatbots are going anywhere anytime soon. Thanks to Facebook Messenger Platform 2.0 launch, chatbots have exploded and caused businesses to rush to create their bots.
By using this integration, you'll be able to offer faster service to your clients. Additionally, you can use deep links to access specific functions inside your mobile app.
AI / ML Technology - Software Testing AI
Throughout different software development phases, software testing has always been paramount.
AI enhances the functionality of test recorders. The more advanced the test recorder, the easier it can create superior test reports. Also, AI testing solutions can improve your test data handling process, enabling quality data to be available for test cases more quickly.
Application development and testing tasks can be streamlined and simplified by using these AI tools. This is accomplished with the help of the following items.
- Analyzing data
- Identifying and solving problems
- Machine learning (ML)
Testing AI Now More Powerful Than Ever
With artificial intelligence, mobile applications and corporations have reached new heights. From monitoring your goods and services to creating intelligent chatbots for enhanced customer service, artificial intelligence does it all.
With the aid of artificial intelligence, automated software testing can overcome many common obstacles. Android app development companies are using artificial intelligence to transform software testing in ways we couldn't have imagined a decade ago.
Among them are:
- Making test creation easier
- Reducing the frequency of test maintenance
- Analyzing results in new ways.
An application must be compatible with a wide range of devices, programs, and platforms. Testing maintenance can be eliminated by AI, as it relies on a machine learning model of your site.
The Android app development industry is also booming with other trends, in addition to AI and ML in software testing. Some of these trends include the use of blockchain technology, beacons, IoT, and chatbots.
Though Android application design trends are continually changing, it's important to keep up with the latest technology updates to stay competitive.
Published at DZone with permission of Kiran Beladiya. See the original article here.
Opinions expressed by DZone contributors are their own.