Testing an RPA Project leverages common Information Technology processes and principles. Select one of the following, provide a brief description of the purpose of such testing process and how this assists in successful RPA projects. Negative Testing • Performance Testing

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Testing an RPA Project leverages common Information Technology processes and principles. Select one of the
following, provide a brief description of the purpose of such testing process and how this assists in successful
RPA projects.
• Negative Testing
Performance Testing
Transcribed Image Text:Testing an RPA Project leverages common Information Technology processes and principles. Select one of the following, provide a brief description of the purpose of such testing process and how this assists in successful RPA projects. • Negative Testing Performance Testing
Expert Solution
Step 1: Define negative testing and performance testing

Negative Testing:

Negative testing is a testing approach that involves intentionally providing incorrect or unexpected inputs to RPA bots to evaluate how they handle errors and exceptions. It aims to uncover vulnerabilities and ensure that the automation solution can gracefully handle unexpected scenarios. This includes simulating scenarios such as incorrect data, missing files, application errors, and security breaches. Negative testing helps verify that the RPA bots can detect errors, log them, and take appropriate corrective actions. It plays a crucial role in error handling, security validation, and robustness testing within RPA projects.

Performance Testing:

Performance testing assesses the speed, scalability, and efficiency of RPA bots and processes. It is crucial to ensure that RPA solutions can handle varying workloads and deliver tasks within acceptable timeframes. Performance testing includes load testing, stress testing, and capacity planning. Load testing simulates concurrent task execution to determine how well the RPA system performs under normal workloads. Stress testing pushes the system to its limits to identify potential bottlenecks. Performance testing also monitors resource utilization, including CPU, memory, and network usage, to optimize resource allocation and plan for scalability. This type of testing is essential for maintaining the efficiency and responsiveness of RPA projects, especially when dealing with large-scale automation processes.

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