Amol Kanthe

In the world of software development, databases are the silent backbone, storing the critical information that powers applications. While application interfaces and business logic often take center stage during testing, ensuring the reliability and integrity of the database is equally, if not more, important. This is where Database Testing comes in. What is Database Testing and Why Does It Matter? Database testing is the process of validating the schema, tables, triggers, and procedures within a database to ensure data integrity and application consistency . It's not just about checking if data is stored; it's about verifying the underlying structure and how data behaves. Why is this crucial? It ensures data accuracy and reliability . Incorrect data can lead to flawed reports, wrong decisions, and unhappy users. It prevents data loss and corruption . Safeguarding sensitive information is paramount. It validates backend changes during app upd...

The world of digital transactions is complex, involving multiple entities, technologies, and processes. Ensuring that these transactions are not only seamless but also secure and compliant is paramount. This is where Payments Testing comes in. What is the Payments Domain? The Payments domain encompasses all technologies, systems, and processes that enable monetary transactions between various entities, such as customers, businesses, banks, and payment gateways. It's a vast ecosystem that facilitates the flow of money in our modern economy. Key Players in the Ecosystem Understanding the different participants is crucial when testing payment systems: Issuer Bank: The bank that issues the payment card (like credit or debit) to the customer. Acquirer Bank: The bank that receives payment requests on behalf of the merchant. Payment Gateway: Acts as a bridge between the merchant and the payment processor/banks, handling the transaction initia...

Achieving robust and reliable automation testing requires more than just writing scripts, it involves adopting strategic approaches and following established best practices. Below are key strategies to steer clear of common pitfalls and enhance your automation efforts. Here are ten best practices for effective automation testing: Automate Strategically : Not all tests require automation. Instead of trying to automate everything at once, start with stable, repetitive, and high-value test cases . This approach ensures you focus your efforts where they yield the greatest return. Prioritizing test cases for automation can involve considering factors like critical user journeys, complex business logic, test cases that need to be run against multiple data sets or environments, and regression tests that are executed repeatedly. Implement a Robust Test Data Strategy : Using hardcoded data is a "Big no". To boost reusability and ...

In today’s fast-paced software testing landscape, understanding the differences between programming and scripting languages is crucial for selecting the right tools for automation. Each language offers unique strengths, design philosophies, and use cases. This document explores key distinctions among widely used languages—including C#, Java, Python, JavaScript, TypeScript, and VBScript to help testers determine when and why each is most suitable. By comparing these languages in terms of syntax, performance, type systems, and application domains, testers can make informed decisions based on project requirements and platform compatibility. C#, Java, and Python: Key Differences Choosing the right programming language is a crucial decision for any project or aspiring developer. Three of the most popular and versatile languages today are C#, Java, and Python. While all capable of building robust applications, they each have distinct characteristics, strengths, and typical use cases. This po...