The ineffectiveness of domain-specific word embedding models for GUI test reuse

Author:

Khalili Farideh1,Mohebbi Ali2,Terragni Valerio3,Pezzè Mauro2,Mariani Leonardo4,Heydarnoori Abbas1

Affiliation:

1. Sharif University of Technology, Tehran, Iran

2. USI Università della Svizzera italiana, Lugano, Switzerland

3. University of Auckland, Auckland, New Zealand

4. University of Milano - Bicocca, Milan, Italy

Funder

SNF

Publisher

ACM

Reference34 articles.

1. Clustering Mobile Apps Based on Mined Textual Features

2. Test Migration Between Mobile Apps with Similar Functionality

3. David M Blei , Andrew Y Ng , and Michael I Jordan . 2003. Latent dirichlet allocation. the Journal of machine Learning research 3 ( 2003 ), 993--1022. David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent dirichlet allocation. the Journal of machine Learning research 3 (2003), 993--1022.

4. Piotr Bojanowski , Edouard Grave , Armand Joulin , and Tomas Mikolov . 2016. Enriching Word Vectors with Subword Information. arXiv ( 2016 ). Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. arXiv (2016).

5. Jonathan Chang , Sean Gerrish , Chong Wang , Jordan Boyd-Graber , and David Blei . 2009. Reading tea leaves: How humans interpret topic models. Advances in neural information processing systems 22 ( 2009 ). Jonathan Chang, Sean Gerrish, Chong Wang, Jordan Boyd-Graber, and David Blei. 2009. Reading tea leaves: How humans interpret topic models. Advances in neural information processing systems 22 (2009).

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1. Semantic matching in GUI test reuse;Empirical Software Engineering;2024-05

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