Critical Capabilities for Enterprise Low-Code Application Platforms
Businesses are hard-pressed to release software applications of high quality in quick succession. To do so at speed and scale, they need to use codeless automation scripting tools. In fact, the adoption of such tools has been increasing at a phenomenal rate. As per Gartner, about 70 percent of applications by 2025 will be developed, tested, and delivered using self-healing test automation tools. This trend of accelerated adoption is being driven by three reasons. These are a lack of skilled developers, the need to continuously digitize mission-critical systems, and the need to deliver a total experience to the customers. Here, the concept of “total experience” alludes to the delivery of intuitive, streamlined, seamless, and digital-first experiences. For instance, the self-healing low-code application platform powered by AI, such as Goinsta.ai, streamlines and democratizes the process of developing test scripts while eliminating bottlenecks that hinder timely releases.
Scriptless test automation tools offer capabilities for guided development, abstraction, governance, and automation. These enable developers to develop high-quality digital solutions at an accelerated pace. Let us discuss such key capabilities that any low-code application platform should possess to pass muster on the challenging terrain of market competitiveness.
Key Capabilities for Any Low-Code Test Automation Tool to Have
Businesses can sidestep professional developers and involve non-traditional developers to increase production. This is because the latter have first-hand knowledge of user experiences given their familiarity with front-end technologies used by customers and employees. This knowledge, coupled with the intuitive interfaces of low-code test automation tools, puts them at an advantage to improve processes and drive better user experiences.
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Furthermore, with complex, connected, distributed, and remote-based workforces and systems, it is important for enterprises to leverage low-code, powerful, intuitive, and easy-to-use platforms. This way they can seamlessly connect with data sources, support high-performing applications, and drive intelligent workflows. The key capabilities for such platforms are as follows:
Development Productivity: This implies how a low code platform can help different stakeholders across teams collaborate and develop high-quality software applications in quick time. As stated earlier, such tools can make codeless automation testing of mission-critical applications easy and quick. Besides providing easy visualization of business logic and data modeling, such no-code testing tools should possess REST APIs to integrate actions with other third-party tools. This brings in much-needed transparency and enab
UX design: With enterprises going digital at a frenetic pace, low-code platforms help developers define and create journeys for a large number of user personas. This allows them to design unified or distributed templates for various applications while complying with both external and internal UX standards. Such an approach to designing templates centrally can help streamline development and usher in consistency in the functionality of applications.
Security: With security becoming the primary concern for most applications, it has become critical for enterprises to choose a tool for scriptless test automation that provides top-notch security. It is imperative to know if the tool complies with the industry-mandated security certifications or is vulnerable to risks due to a dependency on 3rd party software. Also, whether the vendor provides timely updates or patches for the tool deployed on-premise or in the cloud. For instance, the low-code automation platform Goinsta.ai has intelligent object locators, or AI-powered engines, to identify reliable locators for each object.les the development and deployment of applications collaboratively.
Governance: In many enterprises, the existence of shadow IT can spawn risks that can otherwise be effectively countered through proper governance. So, enterprises should possess the capabilities to enforce governance by managing the roles of respective developers. With the central management of applications, enterprises can mitigate the risks of non-compliance. This is where AI test automation tools can help track work and offer visibility across the spectrum of development and deployment. Also, such tools can enable stakeholders to set up guardrails at every stage of the development process.
Conclusion
With the dynamically changing landscape of technology, channels, and business, enterprises need to keep their feet on the pedal to innovate, add value, and deliver excellence. A self-healing test automation tool can enable stakeholders to create multiple experiences. However, before choosing such a tool, evaluate its efficacy in fostering collaboration and security across geographies and lines of business. For instance, Goinsta.ai, the AI-powered low-code application platform from Cigniti, has proven capabilities in saving test time by up to 70% and improving test coverage by up to 74%, among others.
