A Fuzzy Based Analysis of Software Confidentiality at Specific Stage
Munindra Kumar Singh
Dr. Munindra Kumar Singh Dept. of MCA, VBSPU, Jaunpur.

Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9751-9753 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9258118419/2019©BEIESP | DOI: 10.35940/ijrte.D9258.118419

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© The Authors. 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: Mostly software security flaws are most important for the customers and industry. Assessing software security is necessary to reduce faults. Various quantification methods are available include fault, errors, and vulnerabilities from various perspectives. It is a very difficult task to quantify security through a model. Experts develop a new innovative idea or constructive way of evaluating security attributes such as confidentiality. In this paper, the attention that how reduces the fault during the uses of a confidentiality environment. Experts evaluate the literature review with limitations and various quantification techniques that can develop a model. The proposed model uses fuzzy techniques to correlate their parameters with the software metric sat design level. In the developed model, one can generate the surface boundary with parameters and given the complete index value of the confidentiality.
Keywords: About Four Key Words or Phrases in Alphabetical Order, Separated By Commas.
Scope of the Article: Agent-Based Software Engineering.