TestMu AI Author
Hari Sapna Nair is a Community Contributor with experience spanning software development, technical writing, and open-source collaboration. A former Technical Content Writer at TestMu AI, she has authored guides and tutorials on Selenium, testing, microservices, and emerging technologies.
Sapna has contributed 60+ technical blogs for platforms like Coding Ninjas and has been an active open-source contributor in programs such as GirlScript Summer of Code and HakinCodes, securing top contributor ranks. A GHC Scholar and an engineer turned management student at IIM Indore.
Published Articles: 9
Articles by Author

Software Testing
What Is SIT Testing? System Integration Testing GuideWhat is SIT testing? Learn how system integration testing verifies interfaces between systems, how it differs from UAT and SAT, plus techniques and tools.
August 8, 2026

Selenium
Learn Dropdown Handling through Select Class in SeleniumEfficiently handle dropdowns in Selenium WebDriver using Python: Learn essential techniques with Select class in Selenium for seamless form interactions.
February 23, 2026

Automation
How To Find Bugs In Website?A bug is a defect in code that produces unexpected behavior, and a NIST study estimates software bugs cost the US economy 59.5 billion dollars annually, spanning functional, compatibility, security, performance, and UI defects. Finding them systematically means choosing between manual and automation testing, selecting the right testing types and tools, and tracking each bug through to resolution.
September 1, 2026

Selenium
How To Run Selenium Test Scripts?Learn how to run Selenium test scripts with our comprehensive guide. Covers installation, configuration, and running your first test script in Java
March 10, 2026

Selenium
JUnit Assertions: assertEquals, assertThrows, assertAllLearn the various JUnit assertion methods in Selenium testing, focusing on the assertTrue() method in JUnit.
August 24, 2026

Software Testing
Machine Learning In Software TestingMachine learning in software testing applies ML, a subset of AI that learns patterns from data instead of following explicit rules, to automate test case generation, flag likely failure areas from historical results, and catch visual UI discrepancies across browsers and devices. Artificial intelligence is projected to grow 33.2 percent annually between 2020 and 2027.
April 29, 2026


