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Different Methodologies and Extensions for Bug Reporting and Documentation

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Different Methodologies and Extensions for Bug Reporting and Documentation

Revolutionize your testing process with AI-based Test Automation solutions. Streamline testing workflows, improve accuracy, and reduce time-to-market.

  • No Rating
  • (0 Reviews)
  • 18 students enrolled

Hari Krishnan
Users Enrolled 67
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Course Content

1 sections • 2 lectures •
JAM , Scribe, Testcasestudio
mb
Blazemeter, Scribe and Testcase studio
BlazeMeter is a cloud-based platform for performance testing. It can be used to run JMeter and Selenium scripts without installing them. It also provides a visual presentation of performance, infographics, and detailed reporting.
20mb

Requirements

  • Basic understanding of software testing concepts, familiarity with testing tools

Description

AI-based Test Automation is a cutting-edge approach to software testing that leverages artificial intelligence and machine learning algorithms to automate various aspects of the testing process. By utilizing advanced algorithms, predictive analytics, and intelligent decision-making capabilities, AI-based Test Automation can significantly enhance the efficiency and effectiveness of your testing efforts.

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About Instructor

instructor
Hari Krishnan
About Instructor

I am a motivated and detail-oriented QA Analyst with 2 years of experience in the field. I have a strong passion for ensuring the quality and integrity of software applications, and I bring a wealth of knowledge and expertise to my role.I am responsible for developing and executing test plans, writing and maintaining test cases, and working closely with developers and project managers to ensure that software applications meet all requirements and standards. I am also skilled in using tools like JIRA, Selenium and SonarQube to streamline my workflow and increase efficiency.