Comparative Analysis of Software Development Methodologies in the Age of Software-Defined Machines

In the current tech-dominated landscape, machines operate within the realm of software-defined behavior. With a plethora of software variants available, each necessitates a distinct validation approach. Our study delved into several methodologies, including Waterfall, Agile, V-Shape, Spiral, and Iterative Models. Significantly, we observed that the Waterfall and Spiral techniques exhibited remarkable user-friendliness, competence, and comprehensive testing coverage. In an era where the intricate interplay between software and machine behaviors is paramount, the demand for robust testing frameworks is underscored. The Waterfall and Spiral models, distinguished for their ease of use and adaptability across testing scenarios, address this critical requirement. This study provides valuable insights for software testing engineers in selecting an appropriate model tailored to their software testing needs and specific requirements.