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COTS-based development is a component reuse approach promising to reducecosts and risks, and ensure higher quality. The growing availability of COTScomponents on the Web has concretized the possibility of achieving theseobjectives. In this multitude, a recurrent problem is the identification of theCOTS components that best satisfy the user requirements. Finding an adequateCOTS component implies searching among heterogeneous descriptions of thecomponents within a broad search space. Thus, the use of search engines isrequired to make more efficient the COTS components identification. In thispaper, we investigate, theoretically and empirically, the COTS component searchperformance of eight software component search engines, nine semantic searchengines and a conventional search engine (Google). Our empirical evaluation isconducted with respect to precision and normalized recall. We defined tenqueries for the assessed search engines. These queries were carefully selectedto evaluate the capability of each search engine for handling COTS componentidentification.

A Theoretical and Empirical Evaluation of Software Component Search  Engines, Semantic Search Engines and Google Search Engine in the Context of  COTS-Based Development