Advancing Software Testing with AI-Powered Automation

Implementing AI for software testing solutions. Learn more from STELA.

AI
LLMs
Machine Learning
Coworkers  using STELA solution

Software Testing Bureau (STELA) offers software testing services using tools that simplify process automation and adoption of DevOps methodologies. To do so, they created STELA; through simple language, STELA creates and executes automations, providing clear, actionable results.

The Challenge

STELA needed to implement artificial vision into their tool so that its software robots could deal with changes in the applications being automated.

The Solution

We introduced advanced AI components into STELA, taking its testing capabilities to new heights:

  • Test Script Autocorrector: Using NLP, this feature automatically adjusts test scripts based on HTML code modifications, ensuring precise and efficient testing.
  • Computer Vision Element Detection: Our system identifies on-screen elements like buttons and text fields, creating a catalog for seamless test automation in applications lacking source code access.
  • Automatic Test Generator: Powered by LLMs, this feature interprets natural language use case descriptions, swiftly generating accurate test scenarios.

Impact

Digital Sense's knowledge and expertise were impressive. Digital Sense implemented and trained a machine learning model that allowed us to recognize elements on the screens and use that information to control a robot when the application changed. The results were everything we hoped for. I can't think of anything for Digital Sense to improve.

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