Automated Capturing and Reporting of Build and Deployment Success and Failures

Abstract

Capturing and reporting of build and deploy failures and success is a measure for Company to match results obtained by its analysis with preset thresholds to decide the stability of product and its release status to external customers. In this project, supervised learning method is used to data mine the existing records and build a training set for future automated data mining. This project is also taken to overcome the barriers of architecture change during move from Hudson to Jenkins. This project will be deployed on Jenkins as a test job in replacement to Hudson. If successful all the Build and Deploy jobs will be run in automation environment using Jenkins. Job analysis automation is a project that will reduce everyday 4 hours effort of a employee. Also it will increase the precision of output delivered and hence increasing the quality of product delivered to external customer ensuring the stability of product. Project will be developing scripts to capture the success and failure of jobs triggered and reporting and classifying their cause of failure.