CYCLE TIME OPTIMIZATION USING HIGH MATURITY IMPLEMENTATION FOR TESTING GROUP

Abstract

This paper explains about resource planning for release to downstream users and cycle time
reduction with the aid of an automated tool. 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.