An Efficient Model for Software Quality Analysis Based on User and Developer Intraction

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Abstract

Software metrics have a direct link with measurement in software engineering. Correct measurement is the prior condition in any engineering fields, and software engineering may be not an exemption, as those size and complicated nature of software increases, manual examination of software becomes a harder assignment. Most Software Engineers worry about the quality of software, how to measure and enhance its quality. The overall objective of this study was to asses and analysis software metrics used to measure the software product and process. In this Study, the researcher used a collection of literatures from various electronic databases, available since 2008 to understand and know the software metrics. Finally, in this study, the researcher has been identified software quality will be a method for measuring how software is designed and how well the software conforms to that configuration. A percentage of the variables that we would be searching for software superiority and Correctness, item quality, Scalability, completeness and absence of bugs of those quality standard that might have been utilized from you quit offering on that one association will be unique in relation to others for this reason it may be better to apply the software measurements to measure the quality of software and the current is most common software metrics tools to decrease the partiality of faults during the valuation of software quality. The central influence of this study is an indicationaround software metrics to illustrate for development in this field by critical investigation about key metrics initiated onboth developer and user interactiona unified definition of software quality management on User and Developer (SQMUD) is proposed

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Malleswari*, D. N., Rakesh, D., … Vadlamudi, D. (2019). An Efficient Model for Software Quality Analysis Based on User and Developer Intraction. International Journal of Innovative Technology and Exploring Engineering, 9(2), 715–720. https://doi.org/10.35940/ijitee.b6822.129219

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