Estimation of Software Quality by using fuzzy (FIS)
Pinky Chandwal1, A. S. Zadgaonkar2 Abhinav Shukla3
1Pinky Chandwal, M. Phil (IT) Scholar, Information Technology Department, Dr. C. V. Raman university, Bilaspur, India.
2Dr. A. S. Zadgaonkar, Vice Chancellor, Dr. C. V. Raman University, Bilaspur, India.
3Abhinav Shukla, Assistant Professors & HOD (IT) Department, Dr. C. V. Raman University, Bilaspur, India.
Manuscript received on February 04, 2013. | Revised Manuscript received on February 28, 2013. | Manuscript published on March 05, 2013. | PP: 371-378 | Volume-3 Issue-1, March 2013. | Retrieval Number: A1356033113/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As software are being used in more and more critical areas, therefore quality of software becomes a very important factor for business and human safety. Estimation of software quality is the key for achieving a high quality product. Quality of software is associated with number of quality attributes and estimation of software quality involves broad views and various perspectives which might involve natural description, in linguistic terms. Linguistic terms are more convenient to use when human express the subjectivity and imprecision of their evolution but these linguistic variables involve ambiguity and vagueness. Since fuzzy logic deals with the ambiguity, imprecision and vagueness therefore this study proposes the applicability of fuzzy along with ISO 9126 quality model for developing quality estimation framework.
Keywords: Quality, Quality attributes, FIS, Rule base, linguistic variable.