DEV Community: Ranjith

what is selenium ? why do use selenium for automation?

Ranjith — Sat, 23 Mar 2024 19:59:10 +0000

Selenium is an open-source automation framework used for automating web applications across different browsers and platforms. It allows you to write test scripts in various programming languages like Java, C#, Python, etc., and execute these tests on multiple browsers12.

The reasons for using Selenium for automation include:

Language and Framework Support: Selenium supports multiple programming languages, allowing you to write scripts in a language you are comfortable with3.
Open Source Availability: As an open-source tool, Selenium is free and its community provides strong support3.
Multi-Browser Support: Selenium scripts can run on all major browsers without the need to rewrite the scripts for each one3.
Ease of Integration: Selenium can be integrated with other tools like Maven, Jenkins, and Docker for continuous testing and with frameworks like TestNG and JUnit for test management and reporting4.
Parallel Testing: Selenium Grid allows for simultaneous execution of tests across different environments, which speeds up the testing process5.
These features make Selenium a versatile and cost-effective choice for automation testing of web applications.

describe the python architecture in detail?

Ranjith — Sat, 23 Mar 2024 19:23:14 +0000

describe the python architecture in detail?

Python’s architecture is quite intricate and involves several stages from writing code to executing it. Here’s a detailed breakdown:

Code Editor: The journey begins in the code editor, where Python code is written according to Python’s syntax rules. This is the stage where programmers write their source code, which is human-readable1.
Source Code (.py files): After writing the code, it’s saved as a .py file. This file contains instructions written in Python for the system to execute1.
Compilation to Bytecode: Python’s compiler then takes over, converting the source code into bytecode. This is a form of intermediate code that is not directly executable by the machine. During this stage, the compiler also checks for syntax errors. If no errors are found, a .pyc file containing the bytecode is generated1.
Python Virtual Machine (PVM): The bytecode is sent to the Python Virtual Machine (PVM), which is essentially the Python interpreter. The PVM reads the bytecode and converts it into machine-executable code. This process is done line by line, and if an error occurs, the interpretation halts with an error message1.
Execution of Machine Code: Finally, the machine code, which is a binary language consisting of 0s and 1s, is executed by the CPU. This is the last step where the actual execution of the program occurs, and the desired output is produced1.

Additionally, Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It also employs dynamic name resolution (late binding), which binds method and variable names during program execution2.

Python’s design supports object-oriented programming and offers some support for functional programming in the Lisp tradition. It’s known for its high-level built-in data structures, dynamic typing, and binding, which make it suitable for Rapid Application Development and as a scripting language to connect existing components

what is the significance of the python virtual environment ? give some examples in support of your answer?

The significance of a Python virtual environment lies in its ability to create isolated spaces for Python projects, ensuring that each can have its own set of dependencies without interfering with one another or the system-installed Python. This is particularly important in scenarios where different projects require different versions of the same package, which could lead to conflicts if managed globally on the system.

Here are some examples illustrating the importance of Python virtual environments:

Project Isolation: If you’re working on two web-based Python projects where one uses Django 4.0 and the other uses Django 4.1, a virtual environment can be used to manage these different dependencies separately1.
Clean Environment: Virtual environments help maintain a clean workspace by isolating project-specific packages, which is crucial for reproducibility and avoiding “dependency hell” where different projects require incompatible versions of packages2.
Development and Production Parity: They allow developers to mirror the production environment locally, ensuring that the code runs without issues when deployed.
Ease of Setup: New team members can set up their development environment more quickly and reliably by using a virtual environment that specifies all the necessary dependencies.
No Admin Rights Needed: Virtual environments can be managed by users without the need for administrative privileges on the system, which is useful in restricted access environments.

describe the python architecture in detail?

Ranjith — Sat, 23 Mar 2024 19:21:11 +0000

describe the python architecture in detail?

Python’s architecture is quite intricate and involves several stages from writing code to executing it. Here’s a detailed breakdown:

Code Editor: The journey begins in the code editor, where Python code is written according to Python’s syntax rules. This is the stage where programmers write their source code, which is human-readable1.
Source Code (.py files): After writing the code, it’s saved as a .py file. This file contains instructions written in Python for the system to execute1.
Compilation to Bytecode: Python’s compiler then takes over, converting the source code into bytecode. This is a form of intermediate code that is not directly executable by the machine. During this stage, the compiler also checks for syntax errors. If no errors are found, a .pyc file containing the bytecode is generated1.
Python Virtual Machine (PVM): The bytecode is sent to the Python Virtual Machine (PVM), which is essentially the Python interpreter. The PVM reads the bytecode and converts it into machine-executable code. This process is done line by line, and if an error occurs, the interpretation halts with an error message1.
Execution of Machine Code: Finally, the machine code, which is a binary language consisting of 0s and 1s, is executed by the CPU. This is the last step where the actual execution of the program occurs, and the desired output is produced1.

Testing techniques with examples

Ranjith — Sat, 06 Jan 2024 06:49:58 +0000

https://docs.google.com/document/d/1jvvTole6wcuvxNfgh3qXFWfYcDNwu79fRtwIWT0fziE/edit

What is manual testing ?

Ranjith — Tue, 26 Dec 2023 08:37:06 +0000

Manual testing is a software testing process in which test cases are executed manually without using any automated tool. Test cases are planned and implemented to complete almost 100 percent of the software application. It is one of the most fundamental testing processes as it can find both visible and hidden defects of the software. The difference between expected output and output, given by the software, is defined as a defect. Manual testing is mandatory for every newly developed software before automated testing. This testing requires great efforts and time, but it gives the surety of bug-free software. Manual Testing requires knowledge of manual testing techniques but not of any automated testing tool. There are various methods used for manual testing such as white box testing, black box testing, and gray box testing

What are the benefits and drawbacks of manual testing?

Manual testing has its own advantages and disadvantages. Here are some of them:

Advantages:

• Human intelligence: Manual testing requires human intelligence to develop test cases, identify faults, and judge the overall product quality. This ensures that the software is tested from a user’s perspective and provides a better user experience .

• Cost efficiency: Manual testing does not require any automation tools or frameworks to run the test case. This makes it less expensive than automated testing .

• Flexibility: Manual testing can be used in various test scenarios and can modify the test cases regarding the feedback and validate the user experience .

• Early identification: During the test case review and the test code is reviewed, it will early detect the issue and it can sorted to prevent the rework after the execution it can reduce the development life cycle and work expense .

• Simplicity: In general, manual testing does not require any programming language or training. With basic knowledge of software manual testing can be performed.

Drawbacks:

• Time consumption: Manual testing is a time-consuming process as every test must be done manually. In case the testing needs to cover all the software development there won’t be enough time to perform the manual testing .

• Unintentional error: In particular scenarios or by making minor mistakes during the test execution it may occur. These mistakes can make it impossible to find the flaws, and it will affect the system .

• Expensive: When handling a big project or frequent release of software, manual testing is not suitable for such cases .

• Hard to measure: If the test cases have more quantity in numbers, it will be difficult to assess the test efficiency of the test cases and difficult to track the error and to sort the issue for the same .

Here is an example of manual testing: Suppose you are testing a login page of a website. You can manually test the login page by entering valid and invalid credentials and checking if the page redirects to the correct page or displays the correct error message. This is an example of black box testing, which is one of the techniques used in manual testing.

What is the difference between functional testing and Non functional testing ? give some examples in support of your answer.

Ranjith — Thu, 21 Dec 2023 08:19:53 +0000

In functional testing we test the functionality of software working acceptable or not were us in non-functional testing we test the characteristic of application like performance of the application, security of the application, durability of the application etc.

Example: if we are testing the login functionality of the application as part of functional testing we will enter the username in username field and enter the password in password field and click on the login button to see whether user can able to login or not.

And as part of Non-functional testing of the same login functionality we see how secure is login functionality and we will also see how much time is taking user to login the application.

Task 1:

Ranjith — Wed, 13 Dec 2023 09:05:03 +0000

What is software testing?

software testing is a process, to evaluate the functionality of a software application with intend to identify whether the developed software met the specified requirements or not.

what we need to know about software testing ?

to acquire the knowledge of software testing, we need to know about the below points as necessary

1.principles of software testing
2.purpose of testing.
3.key objectives of testing.
3/A.defect identification
3/B.quality assurance.
3/C.risk mitigation.
3/D.validation.
4.manual testing.
5.stages of manual testing.
6.software development life cycle.
7.software testing life cycle.
8.process of manual testing.
9.testing techniques.

what is the relevance of software testing?

software testing is necessary to help us detect the error in the written code, so that it can be fixed before the application or product delivered to the client and end user.