Automation Testing Manual

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MAHEEPATHI LAKSHMI PRASANNA

Mobile : +916*********

Email ID : *********************@*****.***

Objective: To provide best services to the organization by utilizing my skills and knowledge, hence contributing to the continuous growth and success of the Organization that result in simultaneous career growth. Education Qualification:

Bachelor of Technology from Narasaraopet Institute Of Technology in The Stream Of Electronics & Communication Engineering (2018-2022) with an aggregate of 75%.

Intermediate from Bhavana Junior College in the stream of MPC (2016-2018) with an aggregate of 76%.

SSC from Zilla parishad High School (2015-2016) with 7.7GPA. Technical Skills:

Testing Approaches : Manual and Automation Testing

Programming Language : Core Java

Office Tools : Microsoft Word, Excel and PowerPoint

Knowledge in AGILE methodology & JIRA tool.

Manual Testing: Concepts

SDLC Model,Test Levels, Test Types and Test design Techniques.

Knowledge of Various STLC Model and Types.

Test Scenarios, Writing Test Cases and Collecting Data.

Knowledge of Defect Reporting, Defect Tracking and Defect Life Cycle.

Smoke, Sanity Testing, Functional, Integration, Performance, Compatibility and Adhock testing and Re-Testing, Regression Testing.

Knowledge on RTM. Drawbacks on manual testing.

Manual Testing- Tools and Techniques:

Black Box Testing

White Box Testing

Unit testing

Integration Testing

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Automation Testing- Concepts:

Locators of selenium web driver.

X path and Types.

Framework and Different types of selenium.

TestNG and Annotation of TestNG.

Synchronization and Types.

Handling Frames and Mouse actions and keyboard actions

Handling Popups and Multiple windows.

Assertions and Types.

Browser Navigation in selenium.

Automation Testing- Tools and Techniques:

Selenium Web driver

Selenium IDE and Grid

Project:

Title : Automatic Light Fence Circuit with Alarm

Team Size : 04

Description : In Light fence circuit is used to detect the presence of any human or object in a particular area. The detection range of the Light Fence Circuit is about 1.5 to 3 meters. It’s quite simple to design the circuit using LDR and Op-amp. This portable circuit can work smoothly with a commonly available 9V battery and the alarm sound generated from the buzzer is loud enough to detect the presence of a human, vehicle or object.

Co-Curricular Activities:

Completed an online course in courser on Internet of Things.

Completed an online Internships in VERZEO on Artificial Intelligence.

Attended a 3day Workshop on software Applications organized by Skill My subject in Narasaraopet Institute of Technology, Narasaraopet.

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