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CrossSim (exploting Cross Project Relationships for Computing Open Source Software Similarity), is an approach that allows us to represent in a homogeneous manner different project characteristics belonging to different abstraction layers and eventually to compute similarities among projects.

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This repository contains tools and dataset for our paper submitted to the 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2018).

CrossSim: exploiting mutual relationships to detect similar OSS projects

Phuong T. Nguyen, Juri Di Rocco, Riccardo Rubei, Davide Di Ruscio

Department of Information Engineering, Computer Science and Mathematics, Università degli Studi dell'Aquila

Via Vetoio 2, 67100 -- L'Aquila, Italy

Structure of the repository

  • dataset contains all dataset used in the evaluation. In particular:
    • correlation_results.xlsx stores the result of spearman correlation analysis;
    • correlationScript.r is the R script used to correlate human's score and sim tool rank;
    • human evaluation.xlsx contains the qualitative analysis results. It inludes the scores given by human evaluators;
    • queries.txt is the list of queries used in the evaluation;
    • repository.txt is the list of repositories;
    • RepoPal results are in RepoPal_Results.pdf;
    • CrossSim3 results are in CrossSim_Results.pdf;
  • All supporting tools are stored in tool.

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CrossSim (exploting Cross Project Relationships for Computing Open Source Software Similarity), is an approach that allows us to represent in a homogeneous manner different project characteristics belonging to different abstraction layers and eventually to compute similarities among projects.

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