Keywords – codeless automated testing, mobile application testing
With the rise of mobile and web applications in the recent past, the complexity of apps have grown by leaps and bounds in terms of features. App testing automation is now a must for development and testing teams. But writing traditional scripted testing approaches needs experts to write automation scripts manually, which is extremely time-consuming. Frequent revisions of these fragile scripted tests will overwhelm the limited engineering resources. On the other hand, scaling up scripted tests across a growing number of devices, platforms, and OS versions is a highly complicated task.
The shortcomings of scripted testing significantly hamper the rate of testing, endanger the quality of releases, and obstruct organizations from adapting to faster development cycles driven by Agile and DevOps approaches. Codeless test automation platforms are an appealing alternative to the conventional approach.
Since they do not require coding knowledge and script maintenance overheads to run the entire gamut of test automation, they are a great choice to consider. However, codeless platforms focus on easy-to-use visual interfaces, natural language processing, machine learning, and other new technologies to make teams as productive as possible.
Teams can quickly design test scenarios and leave the rest to the platform’s native intelligence to convert the requirements into automated testing across web, mobile, and API environments. Codeless automated testing results in faster test creation, scalability, and maintenance savings, making codeless testing more efficient. It offers greater coverage and reliability to match the speed of continuous delivery.
Faster Test Development and Updates
The most important benefit of codeless automated testing platforms is that they dramatically reduce the time to produce and to maintain tests. However, scripting in the traditional sense requires the tester to have technical skills to write scripts in various programming languages supported on automation frameworks like Selenium or Appium. The process of developing or modifying tests is slow and depends on the availability of developers.
Codeless platforms offer drag-and-drop interfaces with point-and-click functionality for test development that reduces or even eliminates coding skills. Tests can be created by simply dragging and dropping test actions without the need for any specialized programming skill. Thus, the work becomes quicker.
Another benefit is that performing tests in a virtual environment is very time-efficient. Developing new scripts in response to changing application functionality frequently entails a lot of re-writing or debugging. Codeless platforms automatically & dynamically adapt to UI control and flow changes by using locators, images, AI, and ML. This reduces the test maintenance workload to just confirming updates instead of rewriting scripts.
Easier for Non-Technical Users to Implement
Another benefit is the simplified test execution for non-technical users. Coded tests involve the understanding of build tools, test runners, language frameworks, and managing dependencies that are far beyond the scope of the non-developers on the QA team.
Codeless platforms leverage browser-based interfaces or mobile apps to execute tests with features like test scheduling, integrated CI/CD pipelines, or automation in simulators and real devices. No technical skills are needed to use automation; thus, many people can access it.
This process simplifies the testing process, which allows non-QA engineers and product managers to also take part in testing and expand the benefits of automation to them. There is more room for cross-functional collaboration within the framework of test designing, building, and execution.
Scalable Across Web, Mobile, and API Testing
The main advantage of codeless automation is scalable test automation across multiple platforms from web testing to native mobile app testing and API testing. Through the use of scripting tools, developers design specific automation scripts to combine them with applications and CI/CD pipelines.
This creates a plethora of narrowly-focused solutions, designed to achieve specific goals of certain apps. Reusing scripts across platforms often necessitates a large amount of time, effort and resources.
In the first place, many codeless testing tools rely upon runtime engines that have uniform interfaces for triggering test actions across platforms. The sophisticated computer vision, ML models, and configurable test agents are able to adjust tests to accommodate different target app environments. This provides enterprises the opportunity to have a unified automation platform that can scale and deliver services across multiple apps, platforms, and devices.
While organizations are incorporating CI/CD methodologies for rapid releases, the ability of codeless mobile application testing to offer extreme automation scalability is unprecedented. Testing systems that can run thousands of automated test cases simultaneously on cloud infrastructure may be executed across various environments at the same time. This enables them to keep up with the frantic app delivery schedules.
Democratization Gives Rise to Greater Test Coverage
Codeless testing automation brings along many fascinating benefits such as rapid test development, easy maintenance, and scalability across different devices. However, the most powerful effect is provided by how codeless testing frees up your organization to engage in scaling test automation at a wide scale.
By eliminating the need for prior knowledge of advanced scripting skills and specialized programming language, codeless platforms give the opportunity to business users like product managers and non-technical QA engineers to create and execute tests without any knowledge of coding.
With things like intuitive visual interfaces and AI-based built-in test guidance, these team members can create high-coverage test suites that are based on user requirements and their feedback.
Designing Shift Left Test Scenario
The early engagement of product and UX teams in the definition of priority user journeys that feed automation right at the planning stages will enable test coverage growth even before development starts.
It is codeless testing that promotes this necessary “shift-left” of testing roles to other roles instead. Moreover, instead of only executing the unit test cases during technical CI pipeline lines, teams will be able to automate acceptance test cases that match the needs of the core functionality and usability of the product from the very beginning.
A wide array of rich data sources such as ethnographic research, customer interviews, analytics-enabled usage patterns, and channels outside development are easily converted into automated UI tests through the codeless platform. This initiates a snowball effect of continuous test self-improvement, covering more scenarios, use cases, and datasets over time.
Codeless test automation platforms can greatly impact test creation speed, test maintenance, non-technical staff empowerment, and scale across platforms. These strengths directly address testing bottlenecks. With codeless mobile application testing, companies will have the velocity, quality, and confidence necessary to launch more high-quality applications and innovations faster.