While there’s no doubt smartphone usage will unavoidably grow, the trends in mobile development and mobile apps testing are constantly changing. With the advent of Agile and DevOps methodology and considerable changes in software testing methods, developers spend a lot of time catching up with the technology.
There are some testing trends and tools that will not only transform the future of mobile apps but will be here for a long call. Let’s explore the top software testing trends of 2019.
The Most Impressive Mobile Testing Trends of 2019
2019 too will mark the continuation of tremendous changes in the technology and digital transformation. Mobile testing trends will not be an exception with the deep involvement of mobile phones in this era.
Agile and DevOps
DevOps involves practices, rules, processes and tools that help to integrate development and operation activities to reduce the time from development to operations. It has become a widely accepted solution for organizations which are looking at ways to shorten software lifecycles from development to delivery and operation.
The alteration of both Agile and DevOps helps them to develop and deliver quality software faster, which in turn is also known as “Quality of Speed”. The adoption has gained much interest over the past 5 years and continues to increase in the coming years too.
The agile methodology promotes collaboration among small teams to make quick and continuous delivery. Just because QA sometimes become a bottleneck in the process, quality engineering allows the introduction of mobile app testing and automation earlier in the process.
Mobile Test Automation
Automated testing helps the team to make the most of their testing resources and allowing the test engineers to focus on tests that require manual attention and human interaction.
Furthermore, in order to implement DevOps effectively, software teams cannot ignore test automation as it is an essential element of the DevOps process. Beyond mere test automation, modern DevOps are investing in micro service-based architecture. This method tests small, focused functions to develop a complete application.
API and Service Test Automation
API and services are reused in more than one application or component. And when they are used across client applications and components, testing them is more effective and efficient than testing the client.
The need for API and services test automation continues to increase, possibly outpacing that of the functionality used by the end-user interfaces. Thus, having the right process, solutions and tools for API automation test are more critical than ever.
Artificial Intelligence (AI) in Testing
Applying artificial intelligence (AI) and machine learning (ML) approaches to challenge software testing is not new in the software research community. The recent advancements in AI/ML with huge data available have raised new opportunities to apply AI/ML in testing.
AI/ML algorithms are developed to generate better test cases, scripts, test data and reports. Predictive models help to make decisions about where what and when to test. Smart analytics and visualization support the teams to identify faults, to understand vast test coverage, areas of risk, etc.
Test Environments and Data
The rapid growth of the Internet of Things (IoT) means more software systems are operating in a number of different environments. This places a challenge for the testing teams to ensure the right level of test coverage. We’ll see the growth in using cloud-based testing environments. The applications of AI/ML to generate test data and the growth of data projects are some of the solutions for the lack of test data.
Increased Adoption of Open-Source Tools
The adoption of open-source testing tools has revolutionized the world of QA over the last decade. While it is much known that open source is always a cheap alternative, there are many other advantages of using them-
- Open-source testing tools are extremely versatile.
- The test coverage for web apps and all types of mobile apps like iOS, Windows, Android and Hybrid.
- They are often adaptable and customizable to changes within the technological landscape.
- Open-source testing tools include code libraries for different programming languages and can be modified and managed to match the pace with the changes in technology.
Thus, testers in 2019 will be more inclined to use reasonable open-source mobile app testing tools like Robotium, Selendroid, Appium, etc. This only means that the next era will bring the further expansion of the newest mobile testing tools in the market i.e., the Open-Source ones.
It will be necessary for the mobile app testers to upgrade their testing skills in 2019 and use the most appropriate tools and strategies to save time and efforts in testing. Testers must stay up-to-date with the latest testing trends that are greatly influenced by the latest technologies.