Prognostic defect model for factory mode agile testing - an approach..!!!

“One cannot manage change. One can only be ahead of it” – (Peter F. Drucker, 2009)

In this ever changing world we need to stay ahead of ourselves for better today and tomorrow for our partner and customers. Quality is the key for creating values to the customer.

Agile methodology is synonymous to reduced time to market, output based evaluations and stable product, it bring a flexible way to introduce new software products. Testing is an important facet software development and a meticulously approach to testing is essential to success of agile. Testing has to catch up with agile in a transformed approach. Especially when requirements are provided as small user stories needs to develop, test and deploy with short span of time.

In multi vendor & multi geographic location, its a challenge to balance the effort between the project management (per se test management) and core engineering (per se testing) activities and to deliver quality software.

Testimonial of software product/IT services are appraised by number of defects encountered by customer. This paper will bring to you an approach and view(s) from practitioner to analyze defect detection rate and various factors that influence it.

Methodical analysis help you to arrive at the total number of test cases to be written, baseline of defect detection, estimating of testing effort for all the testing phases and business, cost value of defects. Predictive defect model will help test manager and scrum masters to estimate, plan for risk mitigation and formation of test strategy. This predictive model enables collaborative ecosystem among all stakeholders to plan, priorities and execute projects to a greater degree of success.