NDLI: Web Automation using Selenium with Cucumber Framework

Please wait, while we are loading the content...

Artificial Intelligence (AI)

Communication Systems (ECC)

Computer Integrated Manufacturing (CIM)

Computer Science (CS)

Industrial Instrumentation and Control (IIC)

Industrial Refrigeration and Cryogenic Engineering (IRCE)

Master of Computer Applications (MCA)

A Comprehensive Methodology for Detecting Stress and Performance of Students using Machine Learning

A Deep Learning Model for Classification of Gender and Age from Facial Images

A Machine Learning Methodology for Diagnosing Chronic Kidney Disease and Severity Analysis

AI Chatbot Framework as a Service

AI Virtual Mouse

An AI Based Social Distance Monitoring System

An Embracive Study of Image Caption Generation using Pre-Trained Neural Networks

Automatic License Number Plate Recognition System

Brain Tumor Detection using Deep Learning Techniques

Cartoonifygan: Generative Adversarial Network for Image Cartoonization

Contrastive Analysis of Supervised and Unsupervised Learning Techniques for Voice Pathology Detection and Classification

Covid-19 Diagnosis from CT Scans using Deep Learning

Credit Card Fraud Detection using Machine Learning Approach

Decentralized Crypto Exchange

Deep Learning-Based Air Pollution Prediction in Smart Cities

Detection of Landslide using Machine Learning

EPR Portal for Plastics

Epilepsy Seizure Detection using EEG Signal

EventPub: A Project Report

Face Mask Detection using YOLO V5

Fake Profile Detection on Social Networking Websites

Feature Based Automatic Image Stitching

Finger Vein Biometric Recognition using Convolutional Neural Network

Fire Detection in Video Surveillance Applications

Forensic Face Sketch Construction and Recognition

Handwritten Signature Verification

Image Restoration using Deep Learning

Integrate Cucumber with Selenium Webdriver for Website Automation

Intelligent System for Descriptive Answer Evaluation

Intrusion Detection System Based on Machine Learning

KL Onboarding : Project Management System

KL One It: One Stop Platform for IT Tickets

KL Pulse: Employee and Leave Management System

Location Based Student Monitoring System

MDS Operations: A Project Report

ML Based Plant Leaf Disease Prediction

Malware Detection using Machine Learning

NFT Marketplace

Notify Publisher: A Project Report

Phishing Attack Detection using Machine Learning

Portal for Regulation of Air Pollution in Non-Attainment Cities (Prana)

Real-Time Accident Detection using VIT-B/32

Real-Time Facial Expression Detection using Convolutional Neural Network

Secure-Vote: A Voting Dapp on the Metis Stardust Blockchain

Skin Disease Detection using Deep Learning

Smart Online Voting System

Sudoku Solver using ANT-Colony-Optimization Algorithm

TekactPub: A Project Report

Tomato Leaf Disease Detection using Deep Learning

Traffic Sign and Light Detection using YOLO V5

Trigger Publisher: A Project Report

Uptime - "No Time for Downtime"

Vehicle Detection using Deep Learning

Video-Based Action Recognition using Deep Learning

Violence Detection using Deep Learning Techniques

Web Automation using Selenium with Cucumber Framework

Yoga Pose Detection and Correction

Structural Engineering & Construction Management (SECM)

Transportation Engineering (TE)

Urban Planning (UP)

Web Automation using Selenium with Cucumber Framework

Content Provider	TKM College of Engineering
Advisor	M., Natheera Beevi
Author	Rajan, Arya
Abstract	Automation testing is the application of tools and technology to testing software with the goal of reducing testing efforts, delivering capability faster and more affordably.Automation testing is a need of fast and efficient software development life cycle (SDLC) for high productivity and good quality of product. It helps in building better quality software with less effort.Manual testing is performed by carefully executing predefined test cases, comparing the results to the expected behavior and recording the results. Manual tests are repeated each time the source code changes and is prone to errors. The objective of this project is to design and develop Web Automation using selenium and cucumber framework.The framework uses automation testing to reduce effort and speed up the process of automated testing on Web.Cucumber and Selenium Framework is fast becoming a popular combination for web application test automation. Many organizations use Selenium for functional and regression testing. Selenium and Cucumber are a great combination when it comes to web application automation, as Cucumber allows you to write your tests quickly in English-like language and Selenium allows you to run on various combinations of browsers.Cucumber framework supports many languages, such as Java, Scala, Groovy, etc. beyond Ruby.Selenium also supports many languages, such as Java, .Net, etc.The experimental results show that the proposed method of automation testing based on cucumber and selenium can verify the web application software effectively, improve the testing efficiency and help enterprises save costs. To ease the work of a tester the automated tools can execute, report and compare the result with previous test runs. The project ”Web Automation Using Selenium With Cucumber Framework ” focuses on Automation Testing of Mpowered Health Application as a regression suite.Mpowered Health is a consumer-driven healthcare technology company committed to creating a better healthcare experience for consumers and enterprises to take charge of their healthcare.Cucumber and Selenium framework is used to run the all functionality of application.Serenity is used to generate the report for Passed ,Failed Test Case.
Language	English
Publisher Date	2022-05-01
Access Restriction	Open
Subject Keyword	Software Development Life Cycle Cucumber Framework Java Scala Selenium Framework .Net Groovy Web Automation Mpowered Health Application
Content Type	Text
Resource Type	Thesis

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in