A PageRank based recommender system for identifying key classes in ...
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Aug 20, 2015 · In this work we propose a recommender tool to automatically identify the most important classes of a system. Our approach relies on modeling the ...
PDF | On May 1, 2015, Ioana Sora published A PageRank based recommender system for identifying key classes in software systems | Find, read and cite all the ...
In this work we propose a recommender tool to automatically identify the most important classes of a system. Our approach relies on modeling the static ...
In this work we propose a recommender tool to automatically identify the most important classes of a system. Our approach relies on modeling the static ...
Our approach was based on ranking the classes with a graph-ranking algorithm which we defined as customization of PageRank [19], the well-known algorithm for ...
In this paper, we propose a Topical PageRank based algorithm for recommender systems, which aim to rank products by analyzing previous user-item ...
May 6, 2022 · In this paper, we propose an approach based on dynamic analysis and entropy-based metrics to identify key classes in the Java GUI software system, called KEADA.
A topical PageRank based algorithm for recommender systems
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In this paper, we propose a Topical PageRank based algorithm for recommender systems, which aim to rank products by analyzing previous user-item ...
In this paper, we propose a new model, named SAVM, to detect key classes by combining static analysis and a voting mechanism.
IEEE Computer Society, 2012, pp. 93--102. Google Scholar. [41]. I. Sora, "A pagerank based recommender system for identifying key classes in software systems ...