A practical approach to test case design for module based web applications and reusability

2005 ◽  
Author(s):  
Wenying Feng ◽  
V. Gupta ◽  
N.C. Debnath
Keyword(s):  
Web Applications ◽  
Practical Approach ◽  
Test Case ◽  
Case Design

scholarly journals Why we use Django rather than Flask in Asset Management System

2021 ◽  
Vol 9 (VI) ◽  
pp. 4053-4056
Author(s):  
Anuj Kumar Sewani
Keyword(s):  
Asset Management ◽  
Management System ◽  
Web Applications ◽  
Practical Approach ◽  
Web Development ◽  
Software Developers ◽  
Functional Program ◽  
Web Framework ◽  
Asset Management System ◽  
Better Than

Python provide number of frameworks for web development and other applications by Django, Flask, Bottle, Web2py, CherryPy and many more. Frameworks are efficient and versatile to build, test and optimize software. A web framework is a collection of package or module which allows us to develop web applications or services. It provides a foundation on which software developers can built a functional program for a specific platform. The main purpose of this study about python framework is to analyze which is better framework among Django or flask for web development. The study implement a practical approach on PyCharm. The result of this study is - “Django is better than flask”.

scholarly journals Cloud based Agile Methodology Test Automation for Web Application by Using Tanh Activated Clustering and Classification Model (TACC) in Machine Learning

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 05) ◽  
pp. 1137-1157
Author(s):  
V. Vamsi Krishna ◽  
G. Gopinath
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Cost Effective ◽  
Daily Basis ◽  
Automatic Testing ◽  
Classification Model ◽  
Test Case ◽  
Test Automation ◽  
The Status ◽  
Clustering And Classification

Automatic functional tests are a long-standing issue in software development projects, and they are still carried out manually. The Selenium testing framework has gained popularity as an active community and standard environment for automated assessment of web applications. As a result, the trend setting of web services is evolving on a daily basis, and there is a need to improve automatic testing. The study involves to make the system to understand the experiences of previous test cases and apply new cases to predict the status of test case using Tanh activated Clustering and Classification model (TACC). The primary goal is to improve the model's clustering and classification output. The outcomes show that the TACC model has increased performance and demonstrated that automated testing results can be predicted, which is cost effective and reduces manual effort to a greater extent.

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