Automated Evaluation
Automated evaluation is a methodology in software development and data science that uses scripts, tools, or systems to automatically assess the quality, performance, or correctness of code, models, or systems without manual intervention. It often involves running predefined tests, benchmarks, or metrics to provide objective feedback. This approach is commonly applied in areas like unit testing, continuous integration, and machine learning model validation.
Developers should learn and use automated evaluation to ensure code reliability, catch bugs early, and maintain consistent quality in fast-paced development cycles. It is essential for implementing continuous integration/continuous deployment (CI/CD) pipelines, validating machine learning models against datasets, and automating regression testing in large codebases. This reduces human error, saves time, and supports scalable software delivery.