Increasing Web UI code coverage and regression methodology improvements for Venus (Arm Physical IP logistics Project)

Abstract

Code coverage is one of the method to identify the software application bugs. It helps to identify the loopholes which can cause a problem in the application and are left untouched while verifying different scenarios. Venus is an arm IP logistics web UI application developed in EXTJs. Fabric test in python is one method to run regression suite and track the code coverage which team has been using currently. The automation framework provided by sencha technology is the another method proposed to increase the code coverage for EXTJs app. In this report, an approach based on sencha test automation framework is presented for parallel execution of the regressions and track the code coverage changes with addition of different scenarios. The results in this report shows improvement in the code coverage in comparison to the fabric test method used which will enable the team to work on further optimization approaches for regressions