Autonomous Robot Tester for RPA Bot GUI Disruption
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Solution Overview
Problem
Current RPA bot testing methods are inefficient and prone to human error, lacking integrated and automated testing capabilities, which hampers the reliability and resilience of RPA bots in handling unexpected operating system situations.
Innovation Solution
Deployment of an Autonomous Robot Tester (ART) bot within the computational environment to execute a variety of tests that disrupt and challenge RPA bots, simulating real-world scenarios to verify their reliability and resilience, including custom and standard tests that manipulate the graphical user interface and operating system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual testing methods are used for RPA bots, then testing can be performed with simple tools, but testing efficiency is low and human error occurs frequently
Solution Approach 1:
The ART bot autonomously performs testing operations without human intervention. It self-manages the entire testing workflow including deploying test scenarios, executing disruption tests, monitoring RPA bot responses, and generating test reports. This automation eliminates manual testing errors while maintaining high testing efficiency through continuous autonomous operation.
Solution Approach 2:
Manual testing operations are replaced by an automated software agent (ART bot). The mechanical/manual process of testers manually manipulating GUIs and observing outcomes is substituted with an automated system that programmatically interacts with the RPA bot and computational environment, thereby eliminating human error while preserving testing thoroughness.
2Reliability
If comprehensive disruption tests are performed to verify reliability, then RPA bot resilience is improved, but testing complexity increases
Solution Approach 1:
The ART bot is designed as a universal testing platform capable of performing multiple types of disruption tests through a single integrated system. It can manipulate various GUI elements, simulate different operating system scenarios, and test multiple RPA bot functionalities simultaneously. This multi-functionality allows comprehensive reliability testing without proportionally increasing system complexity, as one agent handles diverse test scenarios.
Solution Approach 2:
The ART bot serves as an intermediary between the test scenarios and the RPA bot under test. It mediates the interaction by translating high-level test objectives into specific GUI manipulation actions, thereby simplifying the overall testing architecture while enabling comprehensive disruption testing through its role as a specialized testing agent.
3Reliability
If automated testing is implemented to reduce human error, then testing accuracy improves, but the extent of automation required increases system complexity
Solution Approach 1:
The ART bot achieves high automation through self-service capabilities, autonomously managing its entire testing lifecycle without requiring complex external orchestration. It independently deploys test scenarios, executes disruption tests, monitors outcomes, and generates reports. This self-sufficient automation reduces the need for complex supporting infrastructure while maintaining high testing accuracy through consistent automated execution.
Data Source
AI summary
Described are techniques for testing robotic process automation (RPA) bots. The techniques including a system comprising a computational environment configured to present a graphical user interface (GUI) on a display. The system further comprises an application configured to run on the computational environment. The system further comprises a robotic process automation (RPA) bot configured to execute tasks on the application using the GUI. The system further comprises an autonomous robot tester (ART) bot configured to execute a plurality of tests to disrupt the RPA bot by manipulating the GUI.