Cagatay Catal

Orcid: 0000-0003-0959-2930

According to our database1, Cagatay Catal authored at least 109 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Large language models for code completion: A systematic literature review.
Comput. Stand. Interfaces, 2025

2024
Unsupervised Machine Learning Approaches for Test Suite Reduction.
Appl. Artif. Intell., December, 2024

Design tactics for tailoring transformer architectures to cybersecurity challenges.
Clust. Comput., October, 2024

Test suite assessment of safety-critical systems using safety tactics and fault-based mutation testing.
Clust. Comput., July, 2024

Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain.
ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Boosting the visibility of services in microservice architecture.
Clust. Comput., June, 2024

Design and implementation of a deep learning-empowered m-Health application.
Multim. Tools Appl., April, 2024

Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation.
Multim. Tools Appl., March, 2024

Web service discovery: Rationale, challenges, and solution directions.
Comput. Stand. Interfaces, March, 2024

Stacking-based ensemble learning for remaining useful life estimation.
Soft Comput., January, 2024

Reference architecture design for developing data management systems in smart farming.
Ecol. Informatics, 2024

Deep learning-based user experience evaluation in distance learning.
Clust. Comput., 2024

Deep learning-based modelling of pyrolysis.
Clust. Comput., 2024

2023
Just-in-time defect prediction for mobile applications: using shallow or deep learning?
Softw. Qual. J., December, 2023

The use of generative adversarial networks in medical image augmentation.
Neural Comput. Appl., December, 2023

The role of Reinforcement Learning in software testing.
Inf. Softw. Technol., December, 2023

Temporal fusion transformer-based prediction in aquaponics.
J. Supercomput., November, 2023

Multi-Criteria decision analysis approach for selecting feasible data analytics platforms for precision farming.
Comput. Electron. Agric., June, 2023

A code repository for predictive maintenance on cable joints.
Dataset, April, 2023

A hybrid DNN-LSTM model for detecting phishing URLs.
Neural Comput. Appl., March, 2023

Machine learning in crime prediction.
J. Ambient Intell. Humaniz. Comput., March, 2023

Reference architecture for digital twin-based predictive maintenance systems.
Comput. Ind. Eng., March, 2023

Correction to: Analysis of cyber security knowledge gaps based on cyber security body of knowledge.
Educ. Inf. Technol., February, 2023

Analysis of cyber security knowledge gaps based on cyber security body of knowledge.
Educ. Inf. Technol., February, 2023

Metamorphic relation automation: Rationale, challenges, and solution directions.
J. Softw. Evol. Process., 2023

Analysis of facial emotion expression in eating occasions using deep learning.
Multim. Tools Appl., 2023

The automation of the development of classification models and improvement of model quality using feature engineering techniques.
Expert Syst. Appl., 2023

Analyzing the performance of long short-term memory architectures for malware detection models.
Concurr. Comput. Pract. Exp., 2023

The effects of data balancing approaches: A case study.
Appl. Soft Comput., 2023

Domain Specific Transformers-Based Prioritization of Re-admission for Patients in Healthcare.
Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023

Securing the Internet of Things Network using a Hierarchical Hyperledger Fabric Model.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

2022
A Firewall Policy Anomaly Detection Framework for Reliable Network Security.
IEEE Trans. Reliab., 2022

Deep Learning-Based Defect Prediction for Mobile Applications.
Sensors, 2022

Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review.
Sensors, 2022

Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review.
Sensors, 2022

Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review.
Sensors, 2022

Applications of deep learning for mobile malware detection: A systematic literature review.
Neural Comput. Appl., 2022

Applications of deep learning for phishing detection: a systematic literature review.
Knowl. Inf. Syst., 2022

Obstacles of On-Premise Enterprise Resource Planning Systems and Solution Directions.
J. Comput. Inf. Syst., 2022

Predictive maintenance using digital twins: A systematic literature review.
Inf. Softw. Technol., 2022

Product failure detection for production lines using a data-driven model.
Expert Syst. Appl., 2022

Software security management in critical infrastructures: a systematic literature review.
Turkish J. Electr. Eng. Comput. Sci., 2022

Deep learning-based multi-task prediction system for plant disease and species detection.
Ecol. Informatics, 2022

Data analytics platforms for agricultural systems: A systematic literature review.
Comput. Electron. Agric., 2022

Identification of phantom movements with an ensemble learning approach.
Comput. Biol. Medicine, 2022

A Real-Time CNN-Based Lightweight Mobile Masked Face Recognition System.
IEEE Access, 2022

Hybrid Deep Learning-based Models for Crop Yield Prediction.
Appl. Artif. Intell., 2022

Predicting Plasma Vitamin C Using Machine Learning.
Appl. Artif. Intell., 2022

2021
Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network.
Sensors, 2021

Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks.
Sensors, 2021

Designing a reference architecture for health information systems.
BMC Medical Informatics Decis. Mak., 2021

Automation of systematic literature reviews: A systematic literature review.
Inf. Softw. Technol., 2021

A decision support system for automating document retrieval and citation screening.
Expert Syst. Appl., 2021

A feature-based approach for guiding the selection of Internet of Things cybersecurity standards using text mining.
Concurr. Comput. Pract. Exp., 2021

Design of a reference architecture for developing smart warehouses in industry 4.0.
Comput. Ind., 2021

Obstacles and features of health information systems: A systematic literature review.
Comput. Biol. Medicine, 2021

Precision nutrition: A systematic literature review.
Comput. Biol. Medicine, 2021

Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification.
Appl. Soft Comput., 2021

A Multi-Channel Convolutional Neural Network approach to automate the citation screening process.
Appl. Soft Comput., 2021

Systematic reviews in sentiment analysis: a tertiary study.
Artif. Intell. Rev., 2021

ADS-B Attack Classification using Machine Learning Techniques.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020
Evaluation of augmented reality technology for the design of an evacuation training game.
Virtual Real., 2020

Closing the Gap Between Software Engineering Education and Industrial Needs.
IEEE Softw., 2020

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model.
Sensors, 2020

Assessment of environmental factors affecting software reliability: a survey study.
Turkish J. Electr. Eng. Comput. Sci., 2020

Crop yield prediction using machine learning: A systematic literature review.
Comput. Electron. Agric., 2020

Development of a recurrent neural networks-based calving prediction model using activity and behavioral data.
Comput. Electron. Agric., 2020

Machine learning applications in production lines: A systematic literature review.
Comput. Ind. Eng., 2020

2019
Supplementary materials for paper: A domain-specific language for precision agriculture.
Dataset, June, 2019

The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models.
J. Softw. Evol. Process., 2019

Aligning software engineering education with industrial needs: A meta-analysis.
J. Syst. Softw., 2019

Native Code Generation as a Service.
Int. J. Softw. Eng. Knowl. Eng., 2019

Analysis of transfer learning for deep neural network based plant classification models.
Comput. Electron. Agric., 2019

2018
Automatic energy expenditure measurement for health science.
Comput. Methods Programs Biomed., 2018

Empirical analysis of change metrics for software fault prediction.
Comput. Electr. Eng., 2018

On the effectiveness of virtual reality in the education of software engineering.
Comput. Appl. Eng. Educ., 2018

2017
Cross-Cultural Personality Prediction based on Twitter Data.
J. Softw., 2017

Automatic Software Categorization Using Ensemble Methods and Bytecode Analysis.
Int. J. Softw. Eng. Knowl. Eng., 2017

Product review management software based on multiple classifiers.
IET Softw., 2017

A sentiment classification model based on multiple classifiers.
Appl. Soft Comput., 2017

Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

2016
Neuro-Fuzzy Modeling for Multi-Objective Test Suite Optimization.
J. Intell. Syst., 2016

Special Issue: Soft computing in software engineering.
Appl. Soft Comput., 2016

Xamarin Test Bulutu uzerinde Mobil Uygulama Testi.
Proceedings of the 10th Turkish National Software Engineering Symposium, 2016

2015
On the use of ensemble of classifiers for accelerometer-based activity recognition.
Appl. Soft Comput., 2015

2014
A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction.
J. Intell. Syst., 2014

Yalın Yazılım Geliştirme: Sistematik Eşleme Çalışması.
Proceedings of the 8th Turkish National Software Engineering Symposium, 2014

KOAH Hastalarinda Tele Pulmoner Rehabilitasyon için Kinect Temelli Ev Egzersiz Yazılımı.
Proceedings of the 8th Turkish National Software Engineering Symposium, 2014

2013
Test case prioritization: a systematic mapping study.
Softw. Qual. J., 2013

Teaching evidence-based software engineering to master students: a single lecture within a course or an entire semester-long course?
ACM SIGSOFT Softw. Eng. Notes, 2013

A Systematic Mapping Study on Architectural Analysis.
Proceedings of the Tenth International Conference on Information Technology: New Generations, 2013

2012
Software mining and fault prediction.
WIREs Data Mining Knowl. Discov., 2012

The Ten Best Practices for Test Case Prioritization.
Proceedings of the Information and Software Technologies - 18th International Conference, 2012

2011
Class noise detection based on software metrics and ROC curves.
Inf. Sci., 2011

Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm.
Expert Syst. Appl., 2011

Software fault prediction: A literature review and current trends.
Expert Syst. Appl., 2011

Thresholds based outlier detection approach for mining class outliers: An empirical case study on software measurement datasets.
Expert Syst. Appl., 2011

A Composite Project Effort Estimation Approach in an Enterprise Software Development Project.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

2009
Barriers to the adoption of software product line engineering.
ACM SIGSOFT Softw. Eng. Notes, 2009

Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem.
Inf. Sci., 2009

A systematic review of software fault prediction studies.
Expert Syst. Appl., 2009

Unlabelled extra data do not always mean extra performance for semi-supervised fault prediction.
Expert Syst. J. Knowl. Eng., 2009

Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules.
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

An outlier detection algorithm based on object-oriented metrics thresholds.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

2008
Yazılım kusur kestirimi probleminde yapay bağışıklık sistemlerinin uygulanması (Application of artificial immune systems in software fault prediction problem)
PhD thesis, 2008

A Conceptual Framework to Integrate Fault Prediction Sub-Process for Software Product Lines.
Proceedings of the Second IEEE/IFIP International Symposium on Theoretical Aspects of Software Engineering, 2008

A Fault Prediction Model with Limited Fault Data to Improve Test Process.
Proceedings of the Product-Focused Software Process Improvement, 2008

2007
Software Fault Prediction with Object-Oriented Metrics Based Artificial Immune Recognition System.
Proceedings of the Product-Focused Software Process Improvement, 2007

An Artificial Immune System Approach for Fault Prediction in Object-Oriented Software.
Proceedings of the 2007 International Conference on Dependability of Computer Systems (DepCoS-RELCOMEX 2007), 2007


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