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Today, speed is everything, and that has put businesses under immense pressure to develop and deploy applications faster than ever before. The rapid expansion of low-code/no-code (LCNC) development platforms has been driven by this requirement for speed.In fact, Gartner predicts that by the end of 2025, a staggering 70% of new applications developed by enterprises will use LCNC technologies. 

For businesses, this quick development cycle is revolutionary, but for quality assurance teams, it poses a serious problem. What chance do conventional, code-heavy testing techniques have of keeping up? LCNC Testing, a parallel revolution, holds the solution. By applying the same concepts of accessibility and speed to the testing procedure, this method ensures that quality serves as a catalyst for rapid innovation rather than a hindrance. 

This blog post will explore the realm of LCNC testing, examining its characteristics, resources, challenges, and the methodical approach required to become proficient in this field.  

 

Software Testing in the Low-Code and No-Code Era 

Before we explore testing, let's clarify what LCNC platforms are. These are the development environments that deploy a visual and often model-driven tool (such as drag-and-drop interfaces and prefab modules) to assist users to develop applications with less or no conventional code. Microsoft Power Apps, OutSystems, and Mendix are among them. 

But, "low-code" does not imply "no-risk." Such applications continue to experience complex business logic, integration, UI, and data flows that are prone to bugs. A bug in an application created on an LCNC-based platform will incur costs comparable to those of a bug in traditional application code, including financial losses, reputational damage, and significant user dissatisfaction. 

This is where LCNC testing platforms come into play. They are the opposites of the philosophy of their development counterparts in that they offer visual and intuitive means to construct, perform, and control automated tests. 

 

No-Code Testing: 

This form of visual testing is the purest. Business analysts and QA experts can also utilize drag-and-drop commands to create powerful test scripts, capture user paths, and select UI items from a library of available options. It also does not need any knowledge of programming. 

 

Low-Code Testing:  

This provides one halfway. The majority of test building is visual, but testers can inject small chunks of code (e.g., JavaScript or Python) to handle set complex logic, custom validation, or tackle unusual integrations, which a purely no-code solution may not support. 

This evolution is a natural extension of the move toward more accessible automation, often referred to as scriptless test automation, which aims to democratize testing and involve a wider range of stakeholders in the quality process. 

 

Core Features of LCNC Testing Platforms 

Simple recorders are not the only LCNC testing equipment available nowadays. These are advanced systems with a tonne of features built for enterprise-level quality control. 

 

 

  • Visual Test Creation & Modelling: The ability to create tests visually is a key feature. Although more sophisticated solutions employ model-based testing, which involves creating a visual flowchart of the application's logic and having the platform automatically generate the required test cases, this often incorporates record-and-playback capabilities. 

  • AI-Powered Test Maintenance: One important differentiation is artificial intelligence. Test maintenance, which takes up about 45% of a tester's time in traditional automation, is significantly decreased by AI-powered features like self-healing tests, which automatically adjust to small changes in the application's user interface (such as a button's ID changing). This is a real-world implementation of ideas that have been seen in the development of agentic AI in software testing

  • Smooth CI/CD Integration: These systems have pre-built connections with project management tools (like Jira and Slack) and CI/CD pipelines (like Jenkins, Azure DevOps, and GitLab) to help you stay up-to-date with DevOps. This makes it possible for tests to run automatically with each new version, giving developers feedback right away. 

  • Reusable Test Components: Testers can generate and save reusable modules or "groups" of test steps (such as a login sequence) as reusable test components. These elements may then be applied to hundreds of test cases, speeding up the process of creating tests and making maintenance easier. 

  • Cross-Platform & Cross-Browser Execution: LCNC tools allow you to execute the same test script across many operating systems, browsers (Chrome, Firefox, and Safari), and devices (desktop, mobile, and tablet) in the cloud with a few clicks, guaranteeing thorough test coverage. 

  • Advanced Analytics and Reporting: LCNC solutions offer more than just pass/fail results; they also offer comprehensive, interactive dashboards. They include comprehensive logs, test execution video recordings, performance analytics, and heatmaps that assist in determining the precise location and cause of a failure.  

 

Leading Low-Code/No-Code Testing Tools 

The market for LCNC Testing tools is growing rapidly. While choosing a tool depends on your specific needs, several platforms lead the industry by embodying the features listed above: 

 

  • Testsigma: An open-source, AI-powered platform that unifies test automation, manual testing, and data-driven testing. It's known for writing tests in plain English. 

  • Katalon: A comprehensive solution that offers a dual-scripting interface, catering to both no-code users (with its manual mode) and low-code users who want to use Groovy scripting. 

  • Mabl: A SaaS solution that focuses heavily on AI for auto-healing and intelligent test generation. It's designed for CI/CD integration and provides deep insights into application quality. 

  • Testim: Another AI-driven platform that excels at fast test authoring and dynamic locators, making tests more stable and less prone to breaking from application changes. 

 

How to Strategically Test LCNC Applications 

Testing an application built with a low-code platform requires a nuanced strategy. It's not just about using an LCNC testing tool; it's about adopting the right mindset and process. 

 

Step 1: Focus on Business-Critical Workflows 

Use a risk-based strategy rather than attempting to test each component individually. Determine which end-to-end business procedures are most important. This would include add-to-cart, checkout, product search, and user registration for an e-commerce app. Make automating these processes a top priority. 

 

Step 2: Scrutinize Integrations and APIs 

Monolithic LCNC applications are uncommon. They frequently provide as a central point of connection for a large number of databases, APIs, and third-party services. An average organisation utilises 976 different apps, per a MuleSoft research. The most frequent causes of failure are these integration sites. Robust API testing must be a part of your testing approach to guarantee that data moves across systems safely and appropriately. 

 

Step 3: Combine LCNC Automation with Manual Exploratory Testing 

Although LCNC technologies are excellent at automating repeated regression testing, they are unable to replace human intuition and curiosity. Give your QA team the freedom to do exploratory testing so they can "play" with the program and identify usability problems and edge situations that automated scripts might overlook. The best of both worlds—the depth of human intellect and the efficiency of automation—are offered by this dual strategy. 

 

Step 4: Don't Neglect Performance and Security 

An application cannot avoid non-functional testing only because it was developed rapidly. 

 

  • Performance Testing: How does the program react when there is a high user load? Slow reaction times can occasionally result from wasteful code generated by LCNC platforms. 

  • Security Testing: Are permissions and roles for users properly enforced? Is the information encrypted? Do typical attacks, such as SQL injection and cross-site scripting (XSS), have vulnerabilities? 

Since they provide specialised knowledge in cybersecurity and performance engineering that goes beyond basic functional testing, hiring professional automation testing services might be quite important in this situation. 

 

The Challenges of LCNC Testing 

Although LCNC testing has numerous advantages, it also has drawbacks. A successful adoption necessitates being aware of these possible obstacles. 

 

 

  • Limited Customizability: Totally no-code solutions might not be able to handle sophisticated, unique test situations that call for programmatic logic, highly customised controls, or legacy systems. Low-code platforms that support script insertion provide a big benefit in this situation. 

  • The "Black Box" Debugging Problem: Since the underlying code is abstracted away, identifying the cause of a visual test failure can sometimes be challenging. Strong analytical and problem-solving abilities are necessary for testers. 

  • Scalability and Maintenance: Test creation simplicity might have drawbacks. A maintenance nightmare might result from teams producing thousands of duplicate, badly designed tests too rapidly without enough control. Test organisation and reusability require a well-defined plan. 

  • Vendor Lock-In: It can be caused by relying too much on one proprietary LCNC platform (for testing and development), which makes switching to alternative tools later on challenging. 

 

BugRaptors’ Advantage in Low-Code/No-Code Testing 

The transition to LCNC development is more than a trend; it's a strategic business imperative. However, navigating the LCNC Testing landscape requires more than just adopting new tools—it demands deep expertise and a forward-thinking strategy.  

This is where BugRaptors provides a distinct advantage. We understand that the power of LCNC is unlocked not by the platform alone, but by the quality and rigour of its validation. Our team excels at designing holistic QA strategies that align perfectly with rapid development cycles. We don't just execute tests; we architect quality by identifying the ideal blend of LCNC automation, manual exploratory testing, and rigorous API validation to ensure complete coverage.  

By leveraging our advanced AI testing services, we proactively tackle the core challenges of test maintenance and scalability. Choosing BugRaptors’ automation testing services means you aren’t just adopting new technology; you are investing in a partnership that guarantees your LCNC applications are robust, secure, and deliver exceptional user value, truly accelerating your path to market. 

Interested to share your

QA Requirement!

Question: What is the next evolution for LCNC testing, and how will technologies like Generative AI impact it?

Answer: The next evolution is autonomous testing. Generative AI will create entire test suites from plain-text prompts or requirements documents. This shifts the tester's role from a hands-on builder to a strategic reviewer who validates the AI-generated tests.

Question: How does the adoption of LCNC platforms change the career path for a traditional test automation engineer (SDET)?

Answer: The SDET's role evolves from a coder to a "Quality Architect." Their focus shifts to high-level strategy, evaluating and integrating tools, solving the most complex automation problems, and mentoring the rest of the team on using LCNC platforms effectively.

Question: For regulated industries like finance or healthcare, how do LCNC testing tools address test data privacy and compliance?

Answer: Enterprise LCNC platforms manage this with two key features: 1) Built-in tools for generating or masking synthetic test data to protect sensitive information. 2) Meticulous, unalterable logs for every test case, creating a clear audit trail required for regulations like GDPR or HIPAA.

Question: What are the key trade-offs when choosing between an open-source LCNC tool and a commercial enterprise platform?

Answer: It's a trade-off between cost and support. Open-source tools are free and flexible, but they require more technical effort and often lack dedicated support. Commercial platforms have a subscription fee but offer reliability, robust security, and dedicated support, making them ideal for enterprises that need to scale quickly.

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Parteek Goel

Parteek Goel is a highly-dynamic QA expert with proficiency in automation, AI, and ML technologies. Currently, working as an automation manager at BugRaptors, he has a knack for creating software technology with excellence. Parteek loves to explore new places for leisure, but you'll find him creating technology exceeding specified standards or client requirements most of the time.

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