i-manager Publications

An Algorithmic Engineering Model for Application Testing Metrics

James Edward Osler II*

North Carolina Central University

Periodicity:April - June'2013
DOI : https://doi.org/10.26634/jse.7.4.2318

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.

Keywords

Algorithmics, Cartesian Coordinates, Model, Triangulation, Trichotomy, Tri–Squared, and Vector.

How to Cite this Article?

James Edward Osler II (2013). An Algorithmic Engineering Model for Application Testing Metrics. i-manager’s Journal on Software Engineering, 7(4), 23-29. https://doi.org/10.26634/jse.7.4.2318

References

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[3]. Osler, J. E. (2013a). The Triangulation Algorithmic: A Transformative Function for Designing and Deploying Effective Educational Technology Assessment Instruments. i-manager’s Journal of Educational Technology, 10 (1), April–June, 2013, pp. 46–54.

[4]. Osler, J. E. (2013b). The Psychometrics of Educational Science: Designing Trichotomous Inventive Investigative Instruments for Qualitative and Quantitative for Inquiry. i-manager’s Journal on Educational Psychology, 8 (3), December–February, pp. 15–22.

[5]. Osler, J. E. (2012). Trichotomy–Squared – A novel mixed methods test and research procedure designed to analyze, transform, and compare qualitative and quantitative data for education scientists who are administrators, practitioners, teachers, and technologists. i-manager’s Journal on Mathematics, 1 (3), July-September, pp. 23–32.

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[7]. Singh, S. (1997). Fermat's enigma: The epic quest to solve the world's greatest mathematical problem. A. Books a Division of Random House. New York, NY.

[8]. Singh, S. (2002). Fermat's last theorem. Hammersmith, London, UK: Harper Collins Paperback.

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An Algorithmic Engineering Model for Application Testing Metrics

Abstract

Keywords

How to Cite this Article?

References

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