An algorithmic engineering model for application testing metrics

NCCU Author/Contributor (non-NCCU co-authors, if there are any, appear on document)
James Osler, Professor (Creator)
North Carolina Central University (NCCU )
Web Site:

Abstract: This work provides an epistemological rational for the transformative process of qualitative data into quantitative outcomes through the Tri–Squared Test as an efficient technique for the rapid testing of software applications. The design of fixed-parameter algorithms for software problems can prove to be beneficial to the engineer who has to efficiently and rapidly design a tool. This novel methodology provides elegance and has a wide range of applicability to practically address important and relevant problems in the “trial and error” process of application development. This research is the continuation of a dynamic mixed methods approach that is a transformative process which changes qualitative data into quantitative outcomes through the Tri–Squared statistical measure first introduced in i-Manager's Journal of Mathematics.

Additional Information

i-manager’s Journal on Software Engineering
Language: English
Date: 2013
qualitative data into quantitative outcomes, Tri–Squared Test, rapid testing of software applications

Email this document to