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- W4233773669 abstract "Collections of already developed programs are important resources for efficient development of reliable software systems. In this paper, we propose a novel method of ranking software components, called Component Rank, based on analyzing actual use relations among the components and propagating the significance through the use relations. We have developed a component-rank computation system, and applied it to various Java programs. The result is promising such that non-specific and generic components are ranked high. Using the Component Rank system as a core part, we are currently developing Software Product Archiving, analyzing, and Retrieving System named SPARS." @default.
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- W4233773669 date "2003-01-01" @default.
- W4233773669 modified "2023-10-16" @default.
- W4233773669 title "Component rank: relative significance rank for software component search" @default.
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- W4233773669 doi "https://doi.org/10.1109/icse.2003.1201184" @default.
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