CONTINUOUS INTEGRATION FRAMEWORK FOR REGRESSION TESTING TECHNIQUE AND REDUCE TESTING COST IN DEVOPS.

Abstract

DevOps bridges the gap between the development and operations by improving the collaboration while automating the as many as steps from developing the software to releasing the product to the customers. It is gaining popularity because of its continuous approach – continuous integration (CI) and continuous delivery (CD). CI pipeline approach has increased the efficiency of projects. In agile, new features are introduced to the system in each sprint delivery, and although it may be well developed, the delivery failures are possible due to performance issues and is much expensive. Regression testing has been widely used to ensure that software evolution does not break existing functionalities. This research aims to provide a regression testing technique for effort minimization in CI and reduce the test cost. We use case study to achieve our objectives. Our approach makes use of traceability metrics which analyzes conflicts and dependencies between user stories and Sprints while doing continuous integration (CI). We propose a rule based technique for getting test cases selection to conduct regression testing. Our experiment results shows a rules based test selection for regression testing technique helps minimize testing effort and reduce cost of regression testing.