Manual Testing
-
Introduction:
Manual testing involves the testing of software applications manually, without the use of automation tools. Testers execute test cases and scenarios, observing and recording the results. It's crucial for ensuring the user interface, functionality, and usability of the software.
Key Concepts:
Test case design, test execution, defect reporting, exploratory testing.
Case Study:
In the development of a new e-commerce website, manual testers were employed to thoroughly test the ordering process, payment gateways, and user account functionalities.
Automation Testing
-
Introduction:
Automation testing involves the use of automation tools to execute pre-scripted tests on software applications. It helps in improving efficiency, repeatability, and coverage of testing.
Key Concepts:
Test script development, test script execution, continuous integration, regression testing.
Skills Developed:
A software company implemented automated testing for their web-based application using Selenium WebDriver.
Performance Testing
-
Introduction:
Performance testing evaluates the speed, responsiveness, and stability of a software application under various conditions. It helps in identifying performance bottlenecks and ensuring that the application meets performance requirements.
Key Concepts:
Load testing, stress testing, scalability testing, resource utilization.
Case Study:
A banking application underwent performance testing to assess its response time and throughput under peak load conditions.
Security Testing
-
Overview:
Cognitive Automation and AI Integration explore the integration of artificial intelligence (AI) technologies into RPA processes.
Key Concepts:
Natural Language Processing (NLP), machine learning, and cognitive automation.
Skills Developed:
Integrating advanced AI capabilities into RPA workflows for enhanced decision-making.
Usability Testing
-
Overview:
Cognitive Automation and AI Integration explore the integration of artificial intelligence (AI) technologies into RPA processes.
Key Concepts:
Natural Language Processing (NLP), machine learning, and cognitive automation.
Skills Developed:
Integrating advanced AI capabilities into RPA workflows for enhanced decision-making.
Mobile App Testing
-
Overview:
Cognitive Automation and AI Integration explore the integration of artificial intelligence (AI) technologies into RPA processes.
Key Concepts:
Natural Language Processing (NLP), machine learning, and cognitive automation.
Skills Developed:
Integrating advanced AI capabilities into RPA workflows for enhanced decision-making.
