Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/415532
Title: Analysis Of The Performance Of Software Development Life Cycles Models Implementation With Yotto Data Auditing
Researcher: Sarda, Aditya Subhashchandraji
Guide(s): Joshi, Shashank
Keywords: Computer engineering
Computer Science
Computer Science Software Engineering
Engineering and Technology
University: Bharati Vidyapeeth Deemed University
Completed Date: 2022
Abstract: In the software industry, software development to succeed needs effective newlineprocesses to support application development work. A software process can be newlinedefined as the coherent set of policies, organization structures, technologies, newlineprocedures, and artefacts that are needed to conceive, develop, deploy, and maintain a newlinesoftware product. The software business is highly competitive and requires a high newlinespeed of innovation to meet challenges of demanding software requirements. This newlinealso demands continuous awareness of improvement opportunities over the software newlinedevelopment life cycle (SDLC). One area of opportunity is the adaptive discrete newlinesoftware auditing with data integration testing methodology. newlineTherefore, there is a need for a simple SDLC process based auditing newlinetechniques, which will make use of process optimisation and modelling so that the newlineburden on the programmer can be minimized with intention to minimize impact of newlinebugs or errors. This proposed ADITYA model once developed can be used for newlinemultiple platforms as per the need of customer for yottadata applications. Every time newlinefor the same project with a different operating platform, new system development newlinefrom scratch should be optimised for time and cost with this proposed approach. newlineMoreover, this may be possible in the future with the proposed research approach newlinesuggested in this thesis. newlineYottadata computing is one of the types of computing wherever any person newlinewill simply acquire and accept the computing methods and also use or utilize all time newlinein very big data environment for high performance computing applications. This is newlineused for high performance data computing centres. Use this technique because it is newlineeasy to use so work with this easier and it is more low-cost. Multiple Clouds newlinecomputing environment technique gives authority to world, convenient and as newlinerequired type of web acquire split or share data to selecting computer facility. newline
Pagination: All Pages
URI: http://hdl.handle.net/10603/415532
Appears in Departments:Faculty of Engineering and Technology

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80_recommendation.pdf425.06 kBAdobe PDFView/Open
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