A Proposed Fuzzy Optimization Technique for Software Release Time Problem
Shubhra Gautam1, Deepak Kumar2, L.M. Patnaik3
1Shubhra Gautam, Amity University, Uttar Pradesh, India.
2Deepak Kumar, Amity University, Uttar Pradesh, India.
3L. M. Patnaik, National Institute of Advanced Studies, Bangalore, India
Manuscript received on 05 September 2019 | Revised Manuscript received on 29 September 2019 | Manuscript Published on 29 June 2020 | PP: 350-356 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J106208810S19/2019©BEIESP | DOI: 10.35940/ijitee.J1062.08810S19
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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: Reliability is very important in software system to maintain the trust of the customer. At the same time, the software needs to be developed within the time and budget constraint, as software developed with excess budget or taking too much time will affect the entire system. Therefore, it is of prime importance to release the software under the stipulated time without wastage of the budget or impacting reliability of the system. Present work proposes a fuzzy logic approach to find the release time of the software. Current study focuses on a fuzzy model with two fuzzy inputs and one output. The inputs of the fuzzy model are reliability and cost and time is the output. Mamdani Inference System is used to map inputs to outputs. The optimization problem proposed in this study is tested and also validated on the real-time dataset taken from Industry. The results of experiment show that the proposed model gives better time as compared with the models described in the literature. This proposed model can be utilized as a competency model to predict the estimated time of release of any new software.
Keywords: Software Release time, fuzzy optimization, Mamdani Inference, Optimization, software reliability, rule base
Scope of the Article: Waveform Optimization for Wireless Power Transfer