An Artificial Immune System Approach for Fault Prediction in Object-Oriented Software. - Cagatay Catal; Banu Diri; Bulent Ozumut (DepCoS-RELCOMEX, 2007)

Software Fault Prediction with Object-Oriented Metrics Based Artificial Immune Recognition System. - Cagatay Catal; Banu Diri (PROFES, 2007)

A Fault Prediction Model with Limited Fault Data to Improve Test Process. - Cagatay Catal; Banu Diri (PROFES, 2008)

A Conceptual Framework to Integrate Fault Prediction Sub-Process for Software Product Lines. - Cagatay Catal; Banu Diri (TASE, 2008)

Yazılım kusur kestirimi probleminde yapay bağışıklık sistemlerinin uygulanması (Application of artificial immune systems in software fault prediction problem) - Çagatay Çatal (2008)

An outlier detection algorithm based on object-oriented metrics thresholds. - Oral Alan; Cagatay Catal (ISCIS, 2009)

Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules. - Cagatay Catal; Ugur Sevim; Banu Diri (ITNG, 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)

A systematic review of software fault prediction studies. - Cagatay Catal; Banu Diri (Expert Syst. Appl., 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)

Barriers to the adoption of software product line engineering. - Cagatay Catal (ACM SIGSOFT Softw. Eng. Notes, 2009)

A Composite Project Effort Estimation Approach in an Enterprise Software Development Project. - Cagatay Catal; Mehmet S. Aktas (SEKE, 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)

Software fault prediction: A literature review and current trends. - Cagatay Catal (Expert Syst. Appl., 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)

Class noise detection based on software metrics and ROC curves. - Cagatay Catal; Oral Alan; Kerime Balkan (Inf. Sci., 2011)

The Ten Best Practices for Test Case Prioritization. - Cagatay Catal (ICIST, 2012)

Software mining and fault prediction. - Cagatay Catal (WIREs Data Mining Knowl. Discov., 2012)

A Systematic Mapping Study on Architectural Analysis. - Cagatay Catal; Muratcan Atalay (ITNG, 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)

Test case prioritization: a systematic mapping study. - Cagatay Catal; Deepti Mishra 001 (Softw. Qual. J., 2013)

KOAH Hastalarinda Tele Pulmoner Rehabilitasyon için Kinect Temelli Ev Egzersiz Yazılımı. - Çagatay Çatal; Emre SerbetçIoglu; Hasan Alper (UYMS, 2014)

Yalın Yazılım Geliştirme: Sistematik Eşleme Çalışması. - Gözde Karatas; Çagatay Çatal (UYMS, 2014)

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

On the use of ensemble of classifiers for accelerometer-based activity recognition. - Cagatay Catal; Selin Tufekci; Elif Pirmit; Guner Kocabag (Appl. Soft Comput., 2015)

Xamarin Test Bulutu uzerinde Mobil Uygulama Testi. - Akhan Akbulut; Cagatay Catal; Ece Demiray; Okan Ozen (UYMS, 2016)

Special Issue: Soft computing in software engineering. - Cagatay Catal; Coskun Bayrak; Ali Bou Nassif; Kemal Polat; Akhan Akbulut (Appl. Soft Comput., 2016)

Neuro-Fuzzy Modeling for Multi-Objective Test Suite Optimization. - Zeeshan Anwar; Ali Ahsan; Cagatay Catal (J. Intell. Syst., 2016)

Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks. - Cagatay Catal; Akhan Akbulut; Ecem Ekenoglu; Meltem Alemdaroglu (PAKDD (Workshops), 2017)

A sentiment classification model based on multiple classifiers. - Cagatay Catal; Mehmet Nangir (Appl. Soft Comput., 2017)

Product review management software based on multiple classifiers. - Cagatay Catal; Suat Guldan (IET Softw., 2017)

Automatic Software Categorization Using Ensemble Methods and Bytecode Analysis. - Cagatay Catal; Serkan Tugul; Basar Akpinar (Int. J. Softw. Eng. Knowl. Eng., 2017)

Cross-Cultural Personality Prediction based on Twitter Data. - Cagatay Catal; Min Song 001; Can Muratli; Erin Hea-Jin Kim; Mestan Ali Tosuner; Yusuf Kayikci (J. Softw., 2017)

On the effectiveness of virtual reality in the education of software engineering. - Akhan Akbulut; Cagatay Catal; Burak Yildiz (Comput. Appl. Eng. Educ., 2018)

Empirical analysis of change metrics for software fault prediction. - Garvit Rajesh Choudhary; Sandeep Kumar 004; Kuldeep Kumar; Alok Mishra 001; Cagatay Catal (Comput. Electr. Eng., 2018)

Automatic energy expenditure measurement for health science. - Cagatay Catal; Akhan Akbulut (Comput. Methods Programs Biomed., 2018)

Analysis of transfer learning for deep neural network based plant classification models. - Aydin Kaya 001; Ali Seydi Keçeli; Cagatay Catal; Hamdi Yalin Yalic; Hüseyin Temuçin; Bedir Tekinerdogan (Comput. Electron. Agric., 2019)

Native Code Generation as a Service. - Akhan Akbulut; Cagatay Catal; Emre Karadeniz; Emre Turgut (Int. J. Softw. Eng. Knowl. Eng., 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)

The impact of feature types, classifiers, and data balancing techniques on software vulnerability prediction models. - Aydin Kaya 001; Ali Seydi Keçeli; Cagatay Catal; Bedir Tekinerdogan (J. Softw. Evol. Process., 2019)

Supplementary materials for paper: A domain-specific language for precision agriculture. - Desirée Groeneveld; Vahid Garousi; Bedir Tekinerdogan; Cagatay Catal (Zenodo, 2019)

Machine learning applications in production lines: A systematic literature review. - Ziqiu Kang; Cagatay Catal; Bedir Tekinerdogan (Comput. Ind. Eng., 2020)

Development of a recurrent neural networks-based calving prediction model using activity and behavioral data. - Ali Seydi Keçeli; Cagatay Catal; Aydin Kaya 001; Bedir Tekinerdogan (Comput. Electron. Agric., 2020)

Crop yield prediction using machine learning: A systematic literature review. - Thomas van Klompenburg; Ayalew Kassahun; Cagatay Catal (Comput. Electron. Agric., 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)

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model. - Aydin Kaya 001; Ali Seydi Keçeli; Cagatay Catal; Bedir Tekinerdogan (Sensors, 2020)

Closing the Gap Between Software Engineering Education and Industrial Needs. - Vahid Garousi; Görkem Giray; Eray Tüzün; Cagatay Catal; Michael Felderer (IEEE Softw., 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)

ADS-B Attack Classification using Machine Learning Techniques. - Thabet Kacem; Aydin Kaya 001; Ali Seydi Keçeli; Cagatay Catal; Duminda Wijesekera; Paulo Costa 003 (IV Workshops, 2021)

Systematic reviews in sentiment analysis: a tertiary study. - Alexander Ligthart; Cagatay Catal; Bedir Tekinerdogan (Artif. Intell. Rev., 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)

Analyzing the effectiveness of semi-supervised learning approaches for opinion spam classification. - Alexander Ligthart; Cagatay Catal; Bedir Tekinerdogan (Appl. Soft Comput., 2021)

Precision nutrition: A systematic literature review. - Daniel Kirk; Cagatay Catal; Bedir Tekinerdogan (Comput. Biol. Medicine, 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)

Design of a reference architecture for developing smart warehouses in industry 4.0. - Maarten van Geest; Bedir Tekinerdogan; Cagatay Catal (Comput. Ind., 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)

A decision support system for automating document retrieval and citation screening. - Raymon van Dinter; Cagatay Catal; Bedir Tekinerdogan (Expert Syst. Appl., 2021)

Automation of systematic literature reviews: A systematic literature review. - Raymon van Dinter; Bedir Tekinerdogan; Cagatay Catal (Inf. Softw. Technol., 2021)

Designing a reference architecture for health information systems. - Joep Tummers; Hilde Tobi; Cagatay Catal; Bedir Tekinerdogan (BMC Medical Informatics Decis. Mak., 2021)

Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks. - Ziqiu Kang; Cagatay Catal; Bedir Tekinerdogan (Sensors, 2021)

Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network. - Alper Ozcan; Cagatay Catal; Ahmet Kasif (Sensors, 2021)

Predicting Plasma Vitamin C Using Machine Learning. - Daniel Kirk; Cagatay Catal; Bedir Tekinerdogan (Appl. Artif. Intell., 2022)

Hybrid Deep Learning-based Models for Crop Yield Prediction. - Alexandros Oikonomidis; Cagatay Catal; Ayalew Kassahun (Appl. Artif. Intell., 2022)

A Real-Time CNN-Based Lightweight Mobile Masked Face Recognition System. - Büsra Kocaçinar; Bilal Tas; Fatma Patlar Akbulut; Cagatay Catal; Deepti Mishra 001 (IEEE Access, 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)

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)

Deep learning-based multi-task prediction system for plant disease and species detection. - Ali Seydi Keçeli; Aydin Kaya 001; Cagatay Catal; Bedir Tekinerdogan (Ecol. Informatics, 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)

Product failure detection for production lines using a data-driven model. - Ziqiu Kang; Cagatay Catal; Bedir Tekinerdogan (Expert Syst. Appl., 2022)

Predictive maintenance using digital twins: A systematic literature review. - Raymon van Dinter; Bedir Tekinerdogan; Cagatay Catal (Inf. Softw. Technol., 2022)

Obstacles of On-Premise Enterprise Resource Planning Systems and Solution Directions. - Senem Sancar Gozukara; Bedir Tekinerdogan; Cagatay Catal (J. Comput. Inf. Syst., 2022)

Applications of deep learning for phishing detection: a systematic literature review. - Cagatay Catal; Görkem Giray; Bedir Tekinerdogan; Sandeep Kumar 004; Suyash Shukla (Knowl. Inf. Syst., 2022)

Applications of deep learning for mobile malware detection: A systematic literature review. - Cagatay Catal; Görkem Giray; Bedir Tekinerdogan (Neural Comput. Appl., 2022)

Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review. - Ahmed Alkhateeb; Cagatay Catal; Gorkem Kar; Alok Mishra 001 (Sensors, 2022)

Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review. - Adeel Ehsan; Cagatay Catal; Alok Mishra 001 (Sensors, 2022)

Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review. - Manzura Jorayeva; Akhan Akbulut; Cagatay Catal; Alok Mishra 001 (Sensors, 2022)

Deep Learning-Based Defect Prediction for Mobile Applications. - Manzura Jorayeva; Akhan Akbulut; Cagatay Catal; Alok Mishra 001 (Sensors, 2022)

A Firewall Policy Anomaly Detection Framework for Reliable Network Security. - Cengiz Togay; Ahmet Kasif; Cagatay Catal; Bedir Tekinerdogan (IEEE Trans. Reliab., 2022)

Securing the Internet of Things Network using a Hierarchical Hyperledger Fabric Model. - Mohammed Ahmad Abuhaliqa; Cagatay Catal; Qingzhi Liu (MetaCom, 2023)

Domain Specific Transformers-Based Prioritization of Re-admission for Patients in Healthcare. - Hira Naseem; Cagatay Catal (NLPIR, 2023)

The effects of data balancing approaches: A case study. - Paul Mooijman; Cagatay Catal; Bedir Tekinerdogan; Arjen Lommen; Marco Blokland (Appl. Soft Comput., 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 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)

Analysis of facial emotion expression in eating occasions using deep learning. - Elif Yildirim; Fatma Patlar Akbulut; Cagatay Catal (Multim. Tools Appl., 2023)

Metamorphic relation automation: Rationale, challenges, and solution directions. - Emran Altamimi; Abdullah Elkawakjy; Cagatay Catal (J. Softw. Evol. Process., 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., 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., 2023)

Reference architecture for digital twin-based predictive maintenance systems. - Raymon van Dinter; Bedir Tekinerdogan; Cagatay Catal (Comput. Ind. Eng., 2023)

Machine learning in crime prediction. - Karabo Jenga; Cagatay Catal; Gorkem Kar (J. Ambient Intell. Humaniz. Comput., 2023)

A hybrid DNN-LSTM model for detecting phishing URLs. - Alper Ozcan; Cagatay Catal; Emrah Donmez; Behcet Senturk (Neural Comput. Appl., 2023)

A code repository for predictive maintenance on cable joints. - Raymon van Dinter; Görkem Ekmekci; Gerdtinus Netten; Sander Rieken; Bedir Tekinerdogan; Cagatay Catal (Zenodo, 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., 2023)

Temporal fusion transformer-based prediction in aquaponics. - Ahmet Metin; Ahmet Kasif; Cagatay Catal (J. Supercomput., 2023)

The role of Reinforcement Learning in software testing. - Amr Abo-eleneen; Ahammed Palliyali; Cagatay Catal (Inf. Softw. Technol., 2023)

The use of generative adversarial networks in medical image augmentation. - Ahmed Makhlouf; Marina Maayah; Nada Abughanam; Cagatay Catal (Neural Comput. Appl., 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., 2023)

Deep learning-based modelling of pyrolysis. - Alper Ozcan; Ahmet Kasif; Ismail Veli Sezgin; Cagatay Catal; Muhammad Sanwal; Hasan Merdun (Clust. Comput., 2024)

Deep learning-based user experience evaluation in distance learning. - Rahim Sadigov; Elif Yildirim; Büsra Kocaçinar; Fatma Patlar Akbulut; Cagatay Catal (Clust. Comput., 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)

Stacking-based ensemble learning for remaining useful life estimation. - Begum Ay Ture; Akhan Akbulut; Abdul Halim Zaim; Cagatay Catal (Soft Comput., 2024)

Web service discovery: Rationale, challenges, and solution directions. - Ahmet Vedat Tokmak; Akhan Akbulut; Cagatay Catal (Comput. Stand. Interfaces, 2024)

Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation. - Ahmet Kasif; Selcuk Sevgen; Alper Ozcan; Cagatay Catal (Multim. Tools Appl., 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., 2024)

Boosting the visibility of services in microservice architecture. - Ahmet Vedat Tokmak; Akhan Akbulut; Cagatay Catal (Clust. Comput., 2024)

Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain. - Qingzhi Liu; Yuchen Huang; Chenglu Jin; Xiaohan Zhou; Ying Mao 001; Cagatay Catal; Long Cheng 003 (ACM Trans. Multim. Comput. Commun. Appl., 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., 2024)

Design tactics for tailoring transformer architectures to cybersecurity challenges. - Çigdem Avci Salma; Bedir Tekinerdogan; Cagatay Catal (Clust. Comput., 2024)

Unsupervised Machine Learning Approaches for Test Suite Reduction. - Anila Sebastian; Hira Naseem; Cagatay Catal (Appl. Artif. Intell., 2024)

The use of multi-task learning in cybersecurity applications: a systematic literature review. - Shimaa Ibrahim; Cagatay Catal; Thabet Kacem (Neural Comput. Appl., 2024)

Deep Learning-Based Classification of Software Bugs Using Code Context and AST Features. - Alpaslan Gökcen; Arda Arsik; Akhan Akbulut; Cagatay Catal (ISDFS, 2025)

Multi-Task Learning Model for Mobile Threat Detection and Cyber Resilience in Urban Systems. - Shimaa Ibrahim; Cagatay Catal; Thabet Kacem (PAKDD (Workshops), 2025)

Federated Learning for Smart and Sustainable Aquaponics: A Decentralized AI Approach for Urban Resilience. - Ahmet Kasif; Cagatay Catal (PAKDD (Workshops), 2025)

Implementing FAIR principles in data management systems: A multi-case study in precision farming. - Ngakan Nyoman Kutha Krisnawijaya; Bedir Tekinerdogan; Cagatay Catal; Rik van der Tol; Yeni Herdiyeni (Comput. Electron. Agric., 2025)

Large language models for code completion: A systematic literature review. - Rasha Ahmad Husein; Hala Aburajouh; Cagatay Catal (Comput. Stand. Interfaces, 2025)

The use of large language models for program repair. - Fida Zubair; Maryam Al-Hitmi; Cagatay Catal (Comput. Stand. Interfaces, 2025)

Dynamic warping as a sensor reconstruction method for remaining useful life estimation. - Raymon van Dinter; Ke Cao; Philippe Leduc; Bedir Tekinerdogan; Cagatay Catal; Yiping Sun (Knowl. Based Syst., 2025)

Food fraud detection using explainable artificial intelligence. - Okan Buyuktepe; Cagatay Catal; Gorkem Kar; Yamine Bouzembrak; Hans J. P. Marvin; Anand K. Gavai (Expert Syst. J. Knowl. Eng., 2025)

A multi-pretraining U-Net architecture for semantic segmentation. - Cagla Copurkaya; Elif Meric; Fatma Patlar Akbulut; Cagatay Catal (Signal Image Video Process., 2025)