Author: Nazneen Ahmad

Software applications are becoming more complex, demanding a robust test process for all critical features due to technological advancements. In software testing, verification and validation are essential to ensure the proper functioning and performance of the software applications. Quality Analysts (QA) and software developers should have reasonable control and understanding of the testing process to have a robust test approach throughout the Software Testing Life Cycle (STLC). 

In STLC, there are different phases, which have respective goals and deliverables. Among these, test planning and test case development are the two crucial phases. Comparing a test plan vs. a test case, the test plan is a written document that details the test strategy, scope of testing, resources, and others. On the other hand, test cases are the comprehensive instructions or steps needed for testing and validation of particular features of software applications. They are often used interchangeably but hold significant differences that must be understood. 

As part of the Software Development Life Cycle (SDLC), different types of testing are performed, each targeting specific elements and aspects of the software application. Among those, sanity and regression testing are two of the most important types of software testing. 

Comparing sanity testing and regression testing, sanity testing is the process that involves a quick test of the software application when it goes through any minor changes to make sure that the software is stable for further testing. When it comes to regression testing, it validates the changes made to the software (fixing bugs, adding features) haven't broken anything and that everything built previously works as expected. 

Risk based testing (RBT) is a type of software testing that focuses on identifying and prioritizing high-risk areas of the software applications being tested. In simple terms, risk based testing is an approach that evaluates the features of software applications at high risk of failure based on software complexity.

Even though there are other software testing types like white box testing, grey box testing, and system testing that focus on testing every feature of software applications, why do we need risk based testing?

Sanity testing is a type of software testing executed on the stable build of an application with minor code changes. It is also known as surface-level testing. A sanity test is performed to ensure the application works as expected after the bug fixes or changes in the code.

In the Software Development Life Cycle, software testing is an integral part of ensuring the performance of the software application. It is performed to find any bug or error that could lead to the failure of the software application. Such failure could be costly for the organization as it could not provide the expected user experience. Hence, it is suggested to check everything before the release of the software application in the market.

Software testing is the process of verifying the working of the software system or application. In other words, it ensures the software application is bug-free and addresses the technical and user requirements. It not only focuses on finding bugs or errors in the software but also considers measures to enhance the software quality in terms of usability, accuracy, and efficiency.

Suppose you are building a software application that involves writing a bunch of codes and fixing bugs. These are part of the Software Development Life Cycle that developers and testers follow. However, it is their accountability to check or verify the code in line with the requirements and performance of the application.

The availability of various tools in the market has often kept you thinking about which tool is appropriate for testing the web application. It is important to test the web application to ensure that it functions as per the user’s requirement and gives a high-end user experience. End-to-end testing is an approach that is designed to ensure the functionality of the applications by automating the browsers to run the scenario of particular actions made by end users.

To accomplish this, Cypress and Puppeteer have commonly used tools, and their detailed comparison is the main focus of the blog. The use of Cypress has increased in the recent year for web automation testing addressing issues faced by modern web applications. Now, Puppeteer is also widely accepted for web automation testing. This triggered debate on Cypress vs. Puppeteer. To have a piece of good information on the testing tools and Cypress vs. Puppeteer’s detailed comparison is crucial.