Machine learning methods for model classification-Reference-Cited by-同舟云学术

Machine learning methods for model classification

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems
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Author:

López José Antonio Hernández¹,Rubei Riccardo²,Cuadrado Jesús Sánchez¹,di Ruscio Davide²

Affiliation:

1. Universidad de Murcia, Spain

2. Università degli studi dell'Aquila, Italy

Funder

Universidad de Murcia

Ministerio de Ciencia, Innovación y Universidades

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3550355.3552461

Reference35 articles.

1. The adverse effects of code duplication in machine learning models of code

2. Software Engineering for Machine Learning: A Case Study

3. Önder Babur , Michel RV Chaudron , Loek Cleophas , Davide Di Ruscio , and Dimitris Kolovos . 2018 . Preface to the first international workshop on analytics and mining of model repositories . In 2018 MODELS Workshops: ModComp, MRT, OCL, FlexMDE, EXE, COMMitMDE, MDETools, GEMOC, MORSE, MDE4IoT, MDEbug, MoDeVVa, ME, MULTI, HuFaMo, AMMoRe, PAINS, MODELS-WS 2018. CEUR-WS.org, 778--779. Önder Babur, Michel RV Chaudron, Loek Cleophas, Davide Di Ruscio, and Dimitris Kolovos. 2018. Preface to the first international workshop on analytics and mining of model repositories. In 2018 MODELS Workshops: ModComp, MRT, OCL, FlexMDE, EXE, COMMitMDE, MDETools, GEMOC, MORSE, MDE4IoT, MDEbug, MoDeVVa, ME, MULTI, HuFaMo, AMMoRe, PAINS, MODELS-WS 2018. CEUR-WS.org, 778--779.

4. Using n-grams for the Automated Clustering of Structural Models

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