Author: Shilna Padmarajan

Software testing has evolved significantly over the years, adapting to changes in technology, development methodologies, and the increasing complexity of software systems. Here’s a brief history of software testing: 1950s – 1960s: Debugging and Manual Testing: During the early years of computing, the primary focus was on debugging rather than systematic testing. Programmers manually reviewed… Continue reading Software testing history

Testing in IoT (Internet of Things) environments is a complex and multifaceted process that involves evaluating the functionality, security, performance, and interoperability of interconnected devices and systems. Given the unique characteristics of IoT, testing strategies need to address challenges related to device diversity, communication protocols, data security, and the dynamic nature of the IoT ecosystem.… Continue reading Testing in IoT (Internet of Things) Environments

Continuous testing is a crucial aspect of modern software development methodologies, such as DevOps and Continuous Integration/Continuous Deployment (CI/CD). It involves running automated tests throughout the software development lifecycle to ensure that code changes do not introduce defects or regressions. Here are some strategies for implementing continuous testing effectively: Automated Test Suites: Develop a comprehensive… Continue reading Continuous Testing Strategies

“Security Testing in Agile Development” is a crucial and evolving area of research given the increasing importance of security in software applications. Here are some specific aspects and potential research questions you could explore within this topic: Integration of Security into Agile Processes: How can security testing be seamlessly integrated into agile development workflows? What… Continue reading Security Testing in Agile Development

Chaos engineering and resilience testing are essential practices in the field of software testing and reliability engineering. These practices focus on proactively identifying weaknesses in systems and applications to enhance their overall resilience in the face of unexpected failures and adverse conditions. Here’s an overview of chaos engineering and resilience testing: Chaos Engineering: Definition: Chaos… Continue reading Chaos engineering and resilience testing

Blockchain testing is a critical aspect of ensuring the reliability, security, and functionality of blockchain-based applications and smart contracts. Given the decentralized and immutable nature of blockchains, testing in this context involves unique challenges and considerations. Here are some key aspects and challenges related to blockchain testing: 1. Smart Contract Testing: Smart contracts are self-executing… Continue reading Block Chain Testing

Crowdsourced testing, also known as crowdtesting, is a practice where testing tasks are distributed to a crowd of external testers who are not part of the development team or organization. This approach leverages the diverse skills, experiences, and devices of a distributed group of testers. Research topics related to crowdsourced testing include: Crowdsourced Testing Effectiveness:… Continue reading Crowd sourced Testing

The integration of artificial intelligence (AI) in software testing is an evolving and promising area of research and practice. AI can significantly enhance testing processes, improve test case generation, and identify defects more efficiently. Here are some research topics related to AI in testing: AI-Driven Test Case Generation: Investigate the use of AI techniques, such… Continue reading AI in oracles

Test oracles are a fundamental concept in software testing. They serve as a benchmark or reference to determine the correctness of the behavior of a software system under test. Test oracles help testers identify whether the output or behavior of the software is as expected or if it deviates from the expected results. Research topics… Continue reading Test Oracles