Cagatay Catal

According to our database, Cagatay Catal authored at least 108 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large language models for code completion: A systematic literature review.

Rasha Ahmad Husein, Hala Aburajouh, Cagatay Catal

Comput. Stand. Interfaces, 2025

2024

Unsupervised Machine Learning Approaches for Test Suite Reduction.

Anila Sebastian, Hira Naseem, Cagatay Catal

Appl. Artif. Intell., December, 2024

Design tactics for tailoring transformer architectures to cybersecurity challenges.

Çigdem Avci Salma, Bedir Tekinerdogan, Cagatay Catal

Clust. Comput., October, 2024

Test suite assessment of safety-critical systems using safety tactics and fault-based mutation testing.

Havva Gülay Gürbüz, Bedir Tekinerdogan, Cagatay Catal, Nagehan Pala Er

Clust. Comput., July, 2024

Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain.

Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng

ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Boosting the visibility of services in microservice architecture.

Ahmet Vedat Tokmak, Akhan Akbulut, Cagatay Catal

Clust. Comput., June, 2024

Design and implementation of a deep learning-empowered m-Health application.

Akhan Akbulut, Sara Desouki, Sara AbdelKhaliq, Layal Khantomani, Cagatay Catal

Multim. Tools Appl., April, 2024

Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation.

Ahmet Kasif, Selcuk Sevgen, Alper Ozcan, Cagatay Catal

Multim. Tools Appl., March, 2024

Web service discovery: Rationale, challenges, and solution directions.

Ahmet Vedat Tokmak, Akhan Akbulut, Cagatay Catal

Comput. Stand. Interfaces, March, 2024

Stacking-based ensemble learning for remaining useful life estimation.

Begum Ay Ture, Akhan Akbulut, Abdul Halim Zaim, Cagatay Catal

Soft Comput., January, 2024

Reference architecture design for developing data management systems in smart farming.

Ngakan Nyoman Kutha Krisnawijaya, Bedir Tekinerdogan, Cagatay Catal, Rik van der Tol

Ecol. Informatics, 2024

Deep learning-based user experience evaluation in distance learning.

Rahim Sadigov, Elif Yildirim, Büsra Kocaçinar, Fatma Patlar Akbulut, Cagatay Catal

Clust. Comput., 2024

Deep learning-based modelling of pyrolysis.

Alper Ozcan, Ahmet Kasif, Ismail Veli Sezgin, Cagatay Catal, Muhammad Sanwal, Hasan Merdun

Clust. Comput., 2024

2023

Just-in-time defect prediction for mobile applications: using shallow or deep learning?

Raymon van Dinter, Cagatay Catal, Görkem Giray, Bedir Tekinerdogan

Softw. Qual. J., December, 2023

The use of generative adversarial networks in medical image augmentation.

Ahmed Makhlouf, Marina Maayah, Nada Abughanam, Cagatay Catal

Neural Comput. Appl., December, 2023

The role of Reinforcement Learning in software testing.

Amr Abo-eleneen, Ahammed Palliyali, Cagatay Catal

Inf. Softw. Technol., December, 2023

Temporal fusion transformer-based prediction in aquaponics.

Ahmet Metin, Ahmet Kasif, Cagatay Catal

J. Supercomput., November, 2023

Multi-Criteria decision analysis approach for selecting feasible data analytics platforms for precision farming.

Ngakan Nyoman Kutha Krisnawijaya, Bedir Tekinerdogan, Cagatay Catal, Rik van der Tol

Comput. Electron. Agric., June, 2023

A hybrid DNN-LSTM model for detecting phishing URLs.

Alper Ozcan, Cagatay Catal, Emrah Donmez, Behcet Senturk

Neural Comput. Appl., March, 2023

Machine learning in crime prediction.

Karabo Jenga, Cagatay Catal, Gorkem Kar

J. Ambient Intell. Humaniz. Comput., March, 2023

Reference architecture for digital twin-based predictive maintenance systems.

Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal

Comput. Ind. Eng., March, 2023

Correction to: Analysis of cyber security knowledge gaps based on cyber security body of knowledge.

Cagatay Catal, Alper Ozcan, Emrah Donmez, Ahmet Kasif

Educ. Inf. Technol., February, 2023

Analysis of cyber security knowledge gaps based on cyber security body of knowledge.

Cagatay Catal, Alper Ozcan, Emrah Donmez, Ahmet Kasif

Educ. Inf. Technol., February, 2023

Metamorphic relation automation: Rationale, challenges, and solution directions.

Emran Altamimi, Abdullah Elkawakjy, Cagatay Catal

J. Softw. Evol. Process., 2023

Analysis of facial emotion expression in eating occasions using deep learning.

Elif Yildirim, Fatma Patlar Akbulut, Cagatay Catal

Multim. Tools Appl., 2023

The automation of the development of classification models and improvement of model quality using feature engineering techniques.

Sjoerd Boeschoten, Cagatay Catal, Bedir Tekinerdogan, Arjen Lommen, Marco Blokland

Expert Syst. Appl., 2023

Analyzing the performance of long short-term memory architectures for malware detection models.

Çigdem Avci Salma, Bedir Tekinerdogan, Cagatay Catal

Concurr. Comput. Pract. Exp., 2023

The effects of data balancing approaches: A case study.

Paul Mooijman, Cagatay Catal, Bedir Tekinerdogan, Arjen Lommen, Marco Blokland

Appl. Soft Comput., 2023

Domain Specific Transformers-Based Prioritization of Re-admission for Patients in Healthcare.

Hira Naseem, Cagatay Catal

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.

Mohammed Ahmad Abuhaliqa, Cagatay Catal, Qingzhi Liu

Proceedings of the IEEE International Conference on Metaverse Computing, 2023

2022

A Firewall Policy Anomaly Detection Framework for Reliable Network Security.

Cengiz Togay, Ahmet Kasif, Cagatay Catal, Bedir Tekinerdogan

IEEE Trans. Reliab., 2022

Deep Learning-Based Defect Prediction for Mobile Applications.

Manzura Jorayeva, Akhan Akbulut, Cagatay Catal, Alok Mishra

Sensors, 2022

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

Manzura Jorayeva, Akhan Akbulut, Cagatay Catal, Alok Mishra

Sensors, 2022

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

Adeel Ehsan, Cagatay Catal, Alok Mishra

Sensors, 2022

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

Ahmed Alkhateeb, Cagatay Catal, Gorkem Kar, Alok Mishra

Sensors, 2022

Applications of deep learning for mobile malware detection: A systematic literature review.

Cagatay Catal, Görkem Giray, Bedir Tekinerdogan

Neural Comput. Appl., 2022

Applications of deep learning for phishing detection: a systematic literature review.

Cagatay Catal, Görkem Giray, Bedir Tekinerdogan, Sandeep Kumar, Suyash Shukla

Knowl. Inf. Syst., 2022

Obstacles of On-Premise Enterprise Resource Planning Systems and Solution Directions.

Senem Sancar Gozukara, Bedir Tekinerdogan, Cagatay Catal

J. Comput. Inf. Syst., 2022

Predictive maintenance using digital twins: A systematic literature review.

Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal

Inf. Softw. Technol., 2022

Product failure detection for production lines using a data-driven model.

Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan

Expert Syst. Appl., 2022

Software security management in critical infrastructures: a systematic literature review.

Gülsüm Ece Eksi, Bedir Tekinerdogan, Cagatay Catal

Turkish J. Electr. Eng. Comput. Sci., 2022

Deep learning-based multi-task prediction system for plant disease and species detection.

Ali Seydi Keçeli, Aydin Kaya, Cagatay Catal, Bedir Tekinerdogan

Ecol. Informatics, 2022

Data analytics platforms for agricultural systems: A systematic literature review.

Ngakan Nyoman Kutha Krisnawijaya, Bedir Tekinerdogan, Cagatay Catal, Rik van der Tol

Comput. Electron. Agric., 2022

Identification of phantom movements with an ensemble learning approach.

Akhan Akbulut, Feray Gungor, Ela Tarakci, Muhammed Ali Aydin, Abdul Halim Zaim, Cagatay Catal

Comput. Biol. Medicine, 2022

A Real-Time CNN-Based Lightweight Mobile Masked Face Recognition System.

Büsra Kocaçinar, Bilal Tas, Fatma Patlar Akbulut, Cagatay Catal, Deepti Mishra

IEEE Access, 2022

Hybrid Deep Learning-based Models for Crop Yield Prediction.

Alexandros Oikonomidis, Cagatay Catal, Ayalew Kassahun

Appl. Artif. Intell., 2022

Predicting Plasma Vitamin C Using Machine Learning.

Daniel Kirk, Cagatay Catal, Bedir Tekinerdogan

Appl. Artif. Intell., 2022

2021

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

Alper Ozcan, Cagatay Catal, Ahmet Kasif

Sensors, 2021

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

Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan

Sensors, 2021

Designing a reference architecture for health information systems.

Joep Tummers, Hilde Tobi, Cagatay Catal, Bedir Tekinerdogan

BMC Medical Informatics Decis. Mak., 2021

Automation of systematic literature reviews: A systematic literature review.

Raymon van Dinter, Bedir Tekinerdogan, Cagatay Catal

Inf. Softw. Technol., 2021

A decision support system for automating document retrieval and citation screening.

Raymon van Dinter, Cagatay Catal, Bedir Tekinerdogan

Expert Syst. Appl., 2021

A feature-based approach for guiding the selection of Internet of Things cybersecurity standards using text mining.

Koen van der Schaaf, Bedir Tekinerdogan, Cagatay Catal

Concurr. Comput. Pract. Exp., 2021

Design of a reference architecture for developing smart warehouses in industry 4.0.

Maarten van Geest, Bedir Tekinerdogan, Cagatay Catal

Comput. Ind., 2021

Obstacles and features of health information systems: A systematic literature review.

Joep Tummers, Bedir Tekinerdogan, Hilde Tobi, Cagatay Catal, Bianca Schalk

Comput. Biol. Medicine, 2021

Precision nutrition: A systematic literature review.

Daniel Kirk, Cagatay Catal, Bedir Tekinerdogan

Comput. Biol. Medicine, 2021

Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification.

Alexander Ligthart, Cagatay Catal, Bedir Tekinerdogan

Appl. Soft Comput., 2021

A Multi-Channel Convolutional Neural Network approach to automate the citation screening process.

Raymon van Dinter, Cagatay Catal, Bedir Tekinerdogan

Appl. Soft Comput., 2021

Systematic reviews in sentiment analysis: a tertiary study.

Alexander Ligthart, Cagatay Catal, Bedir Tekinerdogan

Artif. Intell. Rev., 2021

ADS-B Attack Classification using Machine Learning Techniques.

Thabet Kacem, Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Duminda Wijesekera, Paulo Costa

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020

Evaluation of augmented reality technology for the design of an evacuation training game.

Cagatay Catal, Akhan Akbulut, Berkay Tunali, Erol Ulug, Eren Ozturk

Virtual Real., 2020

Closing the Gap Between Software Engineering Education and Industrial Needs.

Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer

IEEE Softw., 2020

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

Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan

Sensors, 2020

Assessment of environmental factors affecting software reliability: a survey study.

Alper Özcan, Çagatay Çatal, Cengiz Togay, Bedir Tekinerdogan, Emrah Dönmez

Turkish J. Electr. Eng. Comput. Sci., 2020

Crop yield prediction using machine learning: A systematic literature review.

Thomas van Klompenburg, Ayalew Kassahun, Cagatay Catal

Comput. Electron. Agric., 2020

Development of a recurrent neural networks-based calving prediction model using activity and behavioral data.

Ali Seydi Keçeli, Cagatay Catal, Aydin Kaya, Bedir Tekinerdogan

Comput. Electron. Agric., 2020

Machine learning applications in production lines: A systematic literature review.

Ziqiu Kang, Cagatay Catal, Bedir Tekinerdogan

Comput. Ind. Eng., 2020

2019

Supplementary materials for paper: A domain-specific language for precision agriculture.

Desirée Groeneveld, Vahid Garousi, Bedir Tekinerdogan, Cagatay Catal

Dataset, June, 2019

The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models.

Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Bedir Tekinerdogan

J. Softw. Evol. Process., 2019

Aligning software engineering education with industrial needs: A meta-analysis.

Vahid Garousi, Görkem Giray, Eray Tüzün, Cagatay Catal, Michael Felderer

J. Syst. Softw., 2019

Native Code Generation as a Service.

Akhan Akbulut, Cagatay Catal, Emre Karadeniz, Emre Turgut

Int. J. Softw. Eng. Knowl. Eng., 2019

Analysis of transfer learning for deep neural network based plant classification models.

Aydin Kaya, Ali Seydi Keçeli, Cagatay Catal, Hamdi Yalin Yalic, Hüseyin Temuçin, Bedir Tekinerdogan

Comput. Electron. Agric., 2019

2018

Automatic energy expenditure measurement for health science.

Cagatay Catal, Akhan Akbulut

Comput. Methods Programs Biomed., 2018

Empirical analysis of change metrics for software fault prediction.

Garvit Rajesh Choudhary, Sandeep Kumar, Kuldeep Kumar, Alok Mishra, Cagatay Catal

Comput. Electr. Eng., 2018

On the effectiveness of virtual reality in the education of software engineering.

Akhan Akbulut, Cagatay Catal, Burak Yildiz

Comput. Appl. Eng. Educ., 2018

2017

Cross-Cultural Personality Prediction based on Twitter Data.

Cagatay Catal, Min Song, Can Muratli, Erin Hea-Jin Kim, Mestan Ali Tosuner, Yusuf Kayikci

J. Softw., 2017

Automatic Software Categorization Using Ensemble Methods and Bytecode Analysis.

Cagatay Catal, Serkan Tugul, Basar Akpinar

Int. J. Softw. Eng. Knowl. Eng., 2017

Product review management software based on multiple classifiers.

Cagatay Catal, Suat Guldan

IET Softw., 2017

A sentiment classification model based on multiple classifiers.

Cagatay Catal, Mehmet Nangir

Appl. Soft Comput., 2017

Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks.

Cagatay Catal, Akhan Akbulut, Ecem Ekenoglu, Meltem Alemdaroglu

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

2016

Neuro-Fuzzy Modeling for Multi-Objective Test Suite Optimization.

Zeeshan Anwar, Ali Ahsan, Cagatay Catal

J. Intell. Syst., 2016

Special Issue: Soft computing in software engineering.

Cagatay Catal, Coskun Bayrak, Ali Bou Nassif, Kemal Polat, Akhan Akbulut

Appl. Soft Comput., 2016

Xamarin Test Bulutu uzerinde Mobil Uygulama Testi.

Akhan Akbulut, Cagatay Catal, Ece Demiray, Okan Ozen

Proceedings of the 10th Turkish National Software Engineering Symposium, 2016

2015

On the use of ensemble of classifiers for accelerometer-based activity recognition.

Cagatay Catal, Selin Tufekci, Elif Pirmit, Guner Kocabag

Appl. Soft Comput., 2015

2014

A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction.

Cagatay Catal

J. Intell. Syst., 2014

Yalın Yazılım Geliştirme: Sistematik Eşleme Çalışması.

Gözde Karatas, Çagatay Çatal

Proceedings of the 8th Turkish National Software Engineering Symposium, 2014

KOAH Hastalarinda Tele Pulmoner Rehabilitasyon için Kinect Temelli Ev Egzersiz Yazılımı.

Çagatay Çatal, Emre SerbetçIoglu, Hasan Alper

Proceedings of the 8th Turkish National Software Engineering Symposium, 2014

2013

Test case prioritization: a systematic mapping study.

Cagatay Catal, Deepti Mishra

Softw. Qual. J., 2013

Teaching evidence-based software engineering to master students: a single lecture within a course or an entire semester-long course?

Cagatay Catal

ACM SIGSOFT Softw. Eng. Notes, 2013

A Systematic Mapping Study on Architectural Analysis.

Cagatay Catal, Muratcan Atalay

Proceedings of the Tenth International Conference on Information Technology: New Generations, 2013

2012

Software mining and fault prediction.

Cagatay Catal

WIREs Data Mining Knowl. Discov., 2012

The Ten Best Practices for Test Case Prioritization.

Cagatay Catal

Proceedings of the Information and Software Technologies - 18th International Conference, 2012

2011

Class noise detection based on software metrics and ROC curves.

Cagatay Catal, Oral Alan, Kerime Balkan

Inf. Sci., 2011

Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm.

Cagatay Catal, Ugur Sevim, Banu Diri

Expert Syst. Appl., 2011

Software fault prediction: A literature review and current trends.

Cagatay Catal

Expert Syst. Appl., 2011

Thresholds based outlier detection approach for mining class outliers: An empirical case study on software measurement datasets.

Oral Alan, Cagatay Catal

Expert Syst. Appl., 2011

A Composite Project Effort Estimation Approach in an Enterprise Software Development Project.

Cagatay Catal, Mehmet S. Aktas

Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

2009

Barriers to the adoption of software product line engineering.

Cagatay Catal

ACM SIGSOFT Softw. Eng. Notes, 2009

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

Cagatay Catal, Banu Diri

Inf. Sci., 2009

A systematic review of software fault prediction studies.

Cagatay Catal, Banu Diri

Expert Syst. Appl., 2009

Unlabelled extra data do not always mean extra performance for semi-supervised fault prediction.

Cagatay Catal, Banu Diri

Expert Syst. J. Knowl. Eng., 2009

Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules.

Cagatay Catal, Ugur Sevim, Banu Diri

Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

An outlier detection algorithm based on object-oriented metrics thresholds.

Oral Alan, Cagatay Catal

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)

Çagatay Çatal

PhD thesis, 2008

A Conceptual Framework to Integrate Fault Prediction Sub-Process for Software Product Lines.

Cagatay Catal, Banu Diri

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.

Cagatay Catal, Banu Diri

Proceedings of the Product-Focused Software Process Improvement, 2008

2007

Software Fault Prediction with Object-Oriented Metrics Based Artificial Immune Recognition System.

Cagatay Catal, Banu Diri

Proceedings of the Product-Focused Software Process Improvement, 2007

An Artificial Immune System Approach for Fault Prediction in Object-Oriented Software.

Cagatay Catal, Banu Diri, Bulent Ozumut

Proceedings of the 2007 International Conference on Dependability of Computer Systems (DepCoS-RELCOMEX 2007), 2007