AUTOMATION TOOL FOR CYCLE TIME OPTIMIZATION FOR INTERNAL QUALITY MANAGEMENT

Abstract

This paper explains about cycle time reduction with the aid of an automated tool for internal quality
management for a product-based organization and resource planning for release to down stream users. Thereby
understanding the co-relation between the variables like number of resources, number of request and type of
testing, statistical modeling will help to optimize the resource planning.
The automation tool developed instead of manual testing of test cases using the output of statistical modeling
will help in work allocation to members of testing team and also to collect the actual time spent on each of the
activities performed by them for further analysis. This will also help to provide correct status to development
leads. So that results can be communicated to development leads in advance whether their request can be met or
not.
Resource planning is also required to do random testing in case there are few requests or quality of the product
is critical and this will help in identifying how much testing is done.
The next task after resources planning is server upload, which takes a lot of bandwidth of testing group to
upload the document and source code. Optimization of server based on understanding of upload sequencing and
server load. To meet the current load which will save several million dollars as the server cost is high.