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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Improving change prediction models with code smell-related information
Gemma Catolino, Fabio Palomba, Francesca Arcelli Fontana, et al.
Empirical Software Engineering (2019) Vol. 25, Iss. 1, pp. 49-95
Closed Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

An experience-based recommendation system to support migrations of Android applications from Java to Kotlin.
Bruno Góis Mateus, Matías Martínez, Christophe Kolski
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 4
On the use of Change History Data to Enhance Class Change-Proneness Prediction Models
Rogério de Carvalho Silva, Paulo Roberto Farah, Sílvia Regina Vergílio
Journal of the Brazilian Computer Society (2024) Vol. 30, Iss. 1, pp. 421-443
Open Access
Can We Predict the Change in Code in a Software Product Line Project?
Yasser Alshehri
Journal of Software Engineering and Applications (2020) Vol. 13, Iss. 06, pp. 91-103
Open Access | Times Cited: 3
“Through the looking‐glass …” An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications
Stefano Dalla Palma, Chiel van Asseldonk, Gemma Catolino, et al.
Journal of Software Evolution and Process (2023) Vol. 36, Iss. 4
Open Access | Times Cited: 1
Prioritizing Python Code Smells for Efficient Refactoring Using Multi-criteria Decision-Making Approach
Aakanshi Gupta, Deepanshu Sharma, Kritika Phulli
Advances in intelligent systems and computing (2021), pp. 105-122
Closed Access | Times Cited: 3
An Intelligent Code Smell Detection Technique Using Optimized Rule-Based Architecture for Object-Oriented Programmings
Manpreet Kaur, Daljeet Singh
Lecture notes in electrical engineering (2022), pp. 349-363
Closed Access | Times Cited: 2
Predicting change in newly created files in a software product line project
Yasser Alshehri
Software Practice and Experience (2020) Vol. 52, Iss. 12, pp. 2499-2512
Closed Access | Times Cited: 2
Toward a Smell-aware Prediction Model for CI Build Failures
Islem Saidani, Ali Ouni
(2021), pp. 18-25
Closed Access | Times Cited: 2
TECHNOLOGY OF IDENTIFYING ANTIPATTERNS IN ANDROID PROJECTS WRITTEN IN KOTLIN LANGUAGE
Ivan Yuriyovich Malik, Valeriy Yuriyovich Volovshchykov, Vladlen Shapo, et al.
Bulletin of National Technical University KhPI Series System Analysis Control and Information Technologies (2020), Iss. 1 (3), pp. 117-123
Open Access | Times Cited: 1
Metric-based rule optimizing system for code smell detection using Salp Swarm and Cockroach Swarm algorithm
D. Juliet Thessalonica, H. Khanna Nehemiah, S. Sreejith, et al.
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 6, pp. 7243-7260
Closed Access | Times Cited: 1
Class Change Prediction by Incorporating Community Smell: An Empirical Study
Qingyuan Dou, Junhua Chen, Gao Jian-hua, et al.
International Journal of Software Engineering and Knowledge Engineering (2022) Vol. 32, Iss. 09, pp. 1369-1388
Closed Access | Times Cited: 1
A Study on the Metrics-Based Duplicated Code Type Smell Detection Techniques Relating the Metrics to Its Quality
Aditi Gupta, Rinkaj Goyal
Lecture notes in networks and systems (2022), pp. 515-532
Closed Access | Times Cited: 1
Evolving software forges: An experience report from Apache Allura
Damian A. Tamburri, Fabio Palomba
Journal of Software Evolution and Process (2021) Vol. 33, Iss. 12
Open Access | Times Cited: 1
Correlation Between Code Smells for Open Source Java Projects
Inderpreet Kaur, Arvinder Kaur
Lecture notes in electrical engineering (2021), pp. 7-15
Closed Access | Times Cited: 1
Investigating the Social Representations of Harmful Code
Rodrigo Aires Corrêa Lima, Jairo Souza, Baldoíno Fonseca, et al.
Research Square (Research Square) (2023)
Open Access
An Assessment of Machine Learning Algorithms and Models for Prediction of Change-Prone Java Methods
Paulo Roberto Farah, Rogério de Carvalho Silva, Sílvia Regina Vergílio
(2023), pp. 322-331
Closed Access
Predicting Software Change-Proneness From Software Evolution Using Machine Learning Methods
Raed Shatnawi
Interdisciplinary Journal of Information Knowledge and Management (2023) Vol. 18, pp. 769-790
Open Access
Current trends and literature review of machine learning models for predicting software fault based on textual and numeric data
Shallu Juneja, Gurjit Singh Bhathal, Brahmaleen K. Sidhu
AIP conference proceedings (2023) Vol. 2916, pp. 030007-030007
Closed Access
Generation of refactoring algorithms by grammatical evolution
Thainá Mariani, Marouane Kessentini, Sílvia Regina Vergílio
Empirical Software Engineering (2022) Vol. 27, Iss. 5
Closed Access
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