A Fuzzy Logic Based System for Secure Scrum
Nikhat Parveen1, Arpita Roy2, Yagna srilatha3, Chaitanya4, Hemanth kumar5
1Nikhat Parveen*,Department of Computer Science and Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India.
2Arpita Roy, Department of Computer Science and Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India.
3Yagna srilatha, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India.
4Chaitanya, Department of Computer Science and Engineering, Koneru Lakshaiah Education Foundation, Guntur, India.
5Hemanth, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 8961-8964 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9747118419/2019©BEIESP | DOI: 10.35940/ijrte.D9747.118419
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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: Software is a basic system that acts as a major key part in general functioning system like securing the need of performance and scope of the system. Here the security is given to unauthorized user as unauthorized client that casually gets the change or modification within the system by effecting the efficiency and functionality of the system. So in order to overcome this issue new improved software is taken that improves the system performance and security. the paper represents a new fuzzy logic based system for handling secured attribute and assessment in software. Based on this reason we propose PC1 and bugs dataset for fuzzy inference system can be used. This secured system model helps software engineers to select secured and safety software for the performance and ambiguity.
Keywords: Fuzzy Logic Based System, Secured Software, Performance and Ambiguity.
Scope of the Article: Fuzzy Logic.