Making the Business Case for Low-Code Software Testing

Using Artificial Intelligence Techniques to Empower Low-Code Citizen Testers

What it Does Icon

What it Does

  • Enables organizations to empower low-code citizen testers through the use of NLP to compress testing cycles, increase the velocity and quality of testing, and provide faster feedback.
Benefits Icon


  • Reduce “test fatigue” and scale automation by empowering non-technical testers to build tests with natural language input.
  • 4x to 5x increase in test creation productivity compared to traditional test automation.
  • Up to 90% reduction in test maintenance burden through autonomous script healing.
Urgency Icon


  • Leveraging low-code software testing is integral to meeting the scale of demand being driven by aggressive software release cycles.
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Risk Level

  • Medium: To mitigate adoption risk, it’s essential to determine an iterative and scalable adoption strategy aligned to business deliverables.
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30/60/90 Plan

  • Start by incorporating a metric-driven adoption framework, followed by a technical configuration and training phase to allow adjustments prior to go-live. Finalize by fully incorporating into the software development lifecycle for continuous improvement.
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Time to Value

  • An adoption focused on a specific project/goal should produce results within 90 days.

What Are the Benefits of Low-Code Software Testing?

Effective testing that meets the monthly, or even weekly, release cycles of developed and packaged software is exerting business-critical pressure. Leading organizations look into traditional test automation for the execution cycle of functional and non-functional testing. However, this increases operating complexity and costs within an organization’s test team, as new technical skills are needed to develop, run, and maintain automation assets for the unit, API consumption, and regression testing.

This has led CIOs to consider how they scale their testing teams to meet business demand without a spiraling increase in cost and complexity. Low-code software testing enables organizations to empower citizen testers through the use of artificial intelligence (AI) techniques, such as natural language processing (NLP), to compress testing cycles, increase the velocity and quality of testing, and provide faster feedback. They allow organizations to scale their testing capability without disproportionately increasing headcount, maintenance, and management costs. Low-code software testing tools, as seen in Figure 1 below, provide an operational step change that can significantly reduce time and effort.

Figure 1: Benefits of Low-Code Testing Software over Traditional Approaches

It is clear that low-code software testing can improve upon the common benefits of traditional test automation and address many of its limitations. To this end, low-code software testing provides a range of key benefits that address scale, accuracy, coverage, and complexity, such as:

  • Citizen testers: A low-code software testing tool uses natural language processing (NLP) to allow anyone to automate tests. By expressing test intent in simple English, the tool generates and executes a script in a matter of minutes. It allows a community of non-technical citizen testers to reduce “test fatigue” and scale test coverage.
  • Accelerate test creation: A skilled test engineer can create up to two test scripts per day using traditional test automation. A low-code software testing tool can increase that by a factor of four to five for both technical and non-technical testers.
  • Autonomous maintainability: A manual maintenance burden exists where testers can spend between 25% to 40% of their time fixing previously working test scripts. Low-code testing software can reduce this burden by up to 90% by leveraging artificial intelligence to detect changes and heal test scripts autonomously.

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