Agile-driven Quality Assurance Framework using ScalaTest and JUnit for Scalable Big Data Applications
Keywords:
Agile-driven testing, quality assurance, ScalaTest, JUnit, Apache SparkAbstract
For a scalable big data environment ensuring robust software quality is mandatory for sophisticated and adaptive testing approach. The objective of this result is to introduce an Agile-driven quality assurance framework which integrates ScalaTest and Junit and are specially designed for validating Apache-Spark based data pipelines which employs an iterative testing methodology that aligns with Agile principles and enables rapid identification and mitigation of risks throughout the development lifecycle.
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