Author: Vipanchika VS

testRigor is an innovative, AI-powered automation tool that revolutionizes the software testing landscape by enabling users to create and execute tests using plain English, eliminating the need for complex coding. This codeless approach empowers both technical and non-technical team members to participate in the testing process, fostering collaboration and accelerating the development lifecycle. With its… Continue reading Automating NetSuite Testing with testRigor

DevSecOps-Integrated Security Testing is a methodology in 2025 that embeds security testing into every stage of the software development lifecycle (SDLC) by integrating it with DevOps practices. DevSecOps ensures that security is a shared responsibility across development, operations, and security teams, making security testing a continuous process rather than a standalone activity. In 2025, this… Continue reading DevSecOps-Integrated Security Testing

Shift-Right Testing with Real-World User Behavior Analysis is a methodology in 2025 that emphasizes quality assurance after deployment by leveraging real-world user data to enhance testing strategies. Unlike traditional testing, which focuses on pre-deployment validation (shift-left), shift-right testing monitors live production environments to identify issues that only manifest under real-world conditions. In 2025, this approach… Continue reading Shift-Right Testing with Real-World User Behavior Analysis

Agentic AI-Driven Testing is a cutting-edge methodology in 2025 that utilizes autonomous AI agents to manage the entire testing lifecycle with minimal human intervention. These AI agents are designed to mimic human decision-making, enabling them to independently create, execute, and analyze test cases while adapting to dynamic software requirements. Unlike traditional AI testing tools that… Continue reading Agentic AI-Driven Testing

Testing Infrastructure as a Service (TIaaS) is an innovative methodology in 2025 that leverages the principles of Infrastructure as Code (IaC) to provide on-demand, scalable, and automated testing environments through cloud-based services. TIaaS allows organizations to provision, configure, and manage testing infrastructure programmatically, eliminating the need for manual setup of physical or virtual environments. This… Continue reading Testing Infrastructure as a Service (TIaaS)

Augmented Reality-Based Testing (ARBT) combines augmented reality (AR) technology with traditional software testing methods. The goal is to improve the testing process by providing an immersive, interactive environment where testers can experience software in real-world contexts. AR overlay technology enables testers to visualize digital information in their physical surroundings, bridging the gap between virtual and… Continue reading Augmented Reality-Based Testing (ARBT)

Crowdsourced testing is a practice that utilizes a large, geographically diverse group of testers to perform various types of testing on a product. Unlike traditional testing, where an in-house team runs tests on a controlled environment, crowdsourced testing allows you to gather feedback from a broader pool of real-world users. These testers are often individuals… Continue reading Crowdsourced Testing

Genetic Micro-Programs use the principles of genetic algorithms (a type of evolutionary computing) to generate micro-programs that test software automatically. Genetic algorithms simulate the process of natural selection, evolving solutions to problems by “breeding” better solutions over successive generations. This concept is applied to automated testing by generating test inputs that explore the full range… Continue reading Genetic Micro-Programs for Automated Testing

Reasoning-Based Software Testing (RBST) uses causal reasoning to navigate complex testing scenarios, focusing on how software reacts to various inputs in dynamic, uncertain conditions. This technique is based on the premise that logical reasoning can be used to better understand and predict the behavior of a system under test and thus generate more meaningful and… Continue reading Reasoning-Based Software Testing (RBST)

Chaos Engineering is a proactive testing approach that deliberately introduces failures into a system to assess its resilience and fault tolerance. The goal is to uncover weaknesses before they cause real-world disruptions. Key Advantages: Improves System Reliability: Identifies failure points and helps teams build more robust systems. Prepares for Unexpected Failures: Ensures teams are ready… Continue reading Chaos Engineering (Resilience Testing)