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- W4281720220 abstract "Abstract In today’s world, there is improvement in hardware performance, storage capacity, architectures. So, there exists an opportunity to design and control the software based on requirements. Software reuse is an optimistic approach to achieve software productivity and software quality. The paper presents a method for predicting and analysing performance of software reuse to understand whether reuse can lead to success or failure of the product. The technique of data mining is exploited to improve the Accuracy, Error rate, and Kappa statistics. It is supported by the Weka-tool. The pre-processing filtering techniques are used to improve the speed of computation by removing the missing values. To validate the output of proposed algorithm comparison is done with J48 classifier." @default.
- W4281720220 created "2022-06-13" @default.
- W4281720220 creator A5034151828 @default.
- W4281720220 date "2022-06-01" @default.
- W4281720220 modified "2023-09-28" @default.
- W4281720220 title "Projection and Assessment of Performance of Software Reuse Using Data Mining" @default.
- W4281720220 doi "https://doi.org/10.21203/rs.3.rs-1688467/v1" @default.
- W4281720220 hasPublicationYear "2022" @default.
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