i-manager Publications

Fuzzy Based Framework for Software Complexity Analysis

P. Ramasubramian*, Narayanan Prasanth N**

* Professor and Head, Department of Computer Science and Engineering, The Rajaas Engineering College.

** Lecturer, Department of Information Technology, National College of Engineering, Anna University, Tirunelveli.

Periodicity:January - March'2009
DOI : https://doi.org/10.26634/jse.3.3.189

Abstract

Measuring software complexity is one of the major challenges faced by the researchers. Complexity is a major driver of the cost, reliability, and functionality of software systems. To control complexity, one must be able to measure it. In this paper, we proposed a method for measuring software complexity at testing phase. We employ the fuzzy repertory table technique to acquire the necessary domain knowledge of testers from which the software complexity is measured. The technique proposed here measures both absolute and relative complexity. Here, we measured absolute complexity for a product ‘Image Processing Tool’ and the results are analyzed.

Keywords

Software Complexity, Fuzzy Repertory Table, Trapezoid Number

How to Cite this Article?

Ramasubramanian P, Narayanan Prasanth N (2009). Fuzzy Based Framework for Software Complexity Analysis,i-manager’s Journal on Software Engineering, 3(3),11-15. https://doi.org/10.26634/jse.3.3.189

References

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Fuzzy Based Framework for Software Complexity Analysis

Abstract

Keywords

How to Cite this Article?

References

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