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Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?

, , , , , и . MSR, стр. 12-24. IEEE, (2023)

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Anton Rocco

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Rocco Hüneke

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MORGAN: a modeling recommender system based on graph kernel., , , и . Softw. Syst. Model., 22 (5): 1427-1449 (октября 2023)CrossRec: Supporting software developers by recommending third-party libraries., , , и . J. Syst. Softw., (2020)Traceability visualization in metamodel change impact detection., , , и . GMLD@ECOOP, стр. 51-62. ACM, (2013)A Customizable Approach for the Automated Quality Assessment of Modelling Artifacts., , , , и . QUATIC, стр. 88-93. IEEE Computer Society, (2016)Reusing Model Transformations Through Typing Requirements Models., , , , , , и . FASE, том 10202 из Lecture Notes in Computer Science, стр. 264-282. Springer, (2017)Finding with NEMO: a recommender system to forecast the next modeling operations., , , , и . MoDELS, стр. 154-164. ACM, (2022)Model Repositories: Will They Become Reality?, , , , и . CloudMDE@MoDELS, том 1563 из CEUR Workshop Proceedings, стр. 37-42. CEUR-WS.org, (2015)Resilience in Sirius Editors: Understanding the Impact of Metamodel Changes., , , и . MoDELS (Workshops), том 2245 из CEUR Workshop Proceedings, стр. 620-630. CEUR-WS.org, (2018)A Tool for Clustering Metamodel Repositories., , , , и . P&D@MoDELS, том 1554 из CEUR Workshop Proceedings, стр. 1-4. CEUR-WS.org, (2015)Mining Correlations of ATL Model Transformation and Metamodel Metrics., , , и . MiSE@ICSE, стр. 54-59. IEEE Computer Society, (2015)