The Power of Data-Driven Testing: A Deep Dive into Jakarta Persistence Specifications and NoSQL

Software development is an ever-changing field. In this landscape, achieving high-quality code is crucial. However, initial challenges arise due to legacy code, undefined development practices, and numerous proofs of concepts. This article explores the transformative journey of testing modernization using Jakarta Persistence Specifications (Jakarta Data and Jakarta NoSQL) and open-source tools. We’ll focus on six crucial steps to enhance software quality, utilizing the power of data-driven testing.

The Initial Challenge: Legacy Code and Undefined Practices

The project’s starting point involved dealing with legacy code from various companies dating back to 2017. The need for testing modernization was evident, with no defined development practices and several proofs of concepts surrounding the project. The project contributors faced the challenge of establishing a cohesive testing strategy and improving code quality.

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