Prof. Dr. Muhammed Maruf ÖZTÜRK

Yayın Ağı

Makaleler 29

1. VulSD: Cross-domain Vulnerability Detection Using Static code Metrics and Dependency Analysis for C, C#, and Java

ÖZTÜRK M. M.

International Journal of Engineering and Manufacturing , cilt.16, sa.3, ss.79-99, 2026 (Scopus)

2. Hyperparameter optimization web tool: Hyperopt

ALTINSOY F., ÖZTÜRK M. M.

Sigma Journal of Engineering and Natural Sciences , cilt.44, sa.2, ss.1219-1239, 2026 (ESCI, Scopus)

3. A Decade of Progress: A Systematic Literature Review on the Integration of AI in Software Engineering Phases and Activities (2013-2023)

Durrani U. K., Akpinar M., Adak M. F., Kabakus A. T., ÖZTÜRK M. M., Saleh M.

IEEE Access , cilt.12, ss.171185-171204, 2024 (SCI-Expanded, Scopus)

4. Hyperparameter Optimization of a Parallelized LSTM for Time Series Prediction

ÖZTÜRK M. M.

VIETNAM JOURNAL OF COMPUTER SCIENCE , cilt.10, ss.303-328, 2023 (ESCI, Scopus)

5. Initializing hyper-parameter tuning with a metaheuristic-ensemble method: a case study using time-series weather data

ÖZTÜRK M. M.

EVOLUTIONARY INTELLIGENCE , cilt.16, sa.3, ss.1019-1031, 2023 (ESCI, Scopus)

6. Developing a hyperparameter optimization method for classification of code snippets and questions of stack overflow: HyperSCC

ÖZTÜRK M. M.

EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS , cilt.10, 2023 (ESCI, Scopus)

7. Head pose healthiness prediction using a novel image quality based stacked autoencoder

Nejkovic V., ÖZTÜRK M. M., Petrovic N.

Digital Signal Processing: A Review Journal , cilt.130, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

8. Energy Efficiency Analysis of Code Refactoring Techniques for Green and Sustainable Software in Portable Devices

ŞANLIALP İ., ÖZTÜRK M. M., YİĞİT T.

ELECTRONICS , cilt.11, sa.3, 2022 (SCI-Expanded, Scopus)

9. A tuned feed-forward deep neural network algorithm for effort estimation

ÖZTÜRK M. M.

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE , cilt.34, sa.2, ss.235-259, 2022 (SCI-Expanded, Scopus)

10. To what extent is tuned neural network pruning beneficial in software effort estimation?

Öztürk M. M.

Computer Science Journal of Moldova , cilt.87, sa.3, ss.340-365, 2021 (ESCI, Scopus)

11. COMPLEXFUZZY: NOVEL CLUSTERING METHOD FOR SELECTING TRAINING INSTANCES OF CROSS-PROJECT DEFECT PREDICTION

ÖZTÜRK M. M.

COMPUTER SCIENCE-AGH , cilt.22, sa.1, ss.3-37, 2021 (ESCI, Scopus)

12. Kosinüs Benzerliğine Dayalı Çapraz-proje Hata Tahmini

ÖZTÜRK M. M.

Bilişim Teknolojileri Dergisi , cilt.12, sa.3, ss.159-167, 2019 (TRDizin)

13. Comparing Hyperparameter Optimization in Cross- and Within-Project Defect Prediction: A Case Study

ÖZTÜRK M. M.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , cilt.44, sa.4, ss.3515-3530, 2019 (SCI-Expanded, Scopus)

14. The impact of parameter optimization of ensemble learning on defect prediction

ÖZTÜRK M. M.

Computer Science Journal of Moldova , cilt.27, sa.1, ss.85-128, 2019 (ESCI, Scopus)

15. Tuning Stacked Auto-encoders for Energy Consumption Prediction: A Case Study

ÖZTÜRK M. M.

International Journal of Information Technology and Computer Science , cilt.11, sa.2, ss.1-8, 2019 (Hakemli Dergi) Sürdürülebilir Kalkınma

16. Is Complexity-based Clustering of Process Metrics as Effective as in Static Code Metrics

ÖZTÜRK M. M.

Baltic Journal of Modern Computing , cilt.7, sa.1, ss.31-46, 2019 (ESCI, Scopus)

17. Which type of metrics are useful to deal with class imbalance in software defect prediction?

ÖZTÜRK M. M.

Information and Software Technology , cilt.92, ss.17-29, 2017 (SCI-Expanded, Scopus)

18. A bat-inspired algorithm for prioritizing test cases

ÖZTÜRK M. M.

Vietnam Journal of Computer Science , cilt.2, sa.2, ss.1-13, 2017 (ESCI)

19. How repeated data points affect bug prediction performance: A case study

Ozturk M. M., ZENGIN A.

APPLIED SOFT COMPUTING , cilt.49, ss.1051-1061, 2016 (SCI-Expanded, Scopus)

20. A Novel Chaos-Based Voice Controlled FTP Tool

ÖZTÜRK M. M., Akgül A., Kaçar S.

International Journal of Scientific and Technological Research , cilt.5, sa.11, ss.100-106, 2016 (Hakemli Dergi)

21. Improved GUI Testing using Task Parallel Library

ÖZTÜRK M. M., Zengin A.

ACM Sigsoft Software Engineering Notes , cilt.41, ss.1-8, 2016 (Hakemli Dergi)

22. A novel defect prediction method for web pages using k-means plus

Ozturk M. M., Cavusoglu U., Zengin A.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.42, sa.19, ss.6496-6506, 2015 (SCI-Expanded, Scopus)

23. Design of a Web Interface for Fractional Chaotic Systems

ÖZTÜRK M. M.

I.J. Computer Network and Information Security , cilt.1, ss.46-53, 2015 (Hakemli Dergi)

24. Development of a Multi-Agent Framework for Software Quality

ÖZTÜRK M. M., Zengin A., Çil İ.

ACM SIGSOFT Software Engineering Notes , cilt.40, sa.1, ss.1-10, 2015 (Hakemli Dergi)

25. INVESTIGATION OF TEST AUTOMATION DATA USING STATISTICAL METHODS

ÖZTÜRK M. M., Zengin A.

Sigma Journal of Engineering and Natural Sciences , cilt.32, ss.10-22, 2014 (ESCI)

26. A Voice Controlled Web based FTP Tool

ÖZTÜRK M. M., Çavuşoğlu Ü., Zengin A.

International Journal of Computer Applications , cilt.64, sa.10, ss.22-27, 2013 (Hakemli Dergi)

27. Ns-3 ağ simülatöründe, kuyruk yönetim algoritmalarının performans analizi

ÖZTÜRK M. M., ÖZbek U., Çavuşoğlu Ü., Zengin A., Çavuşoğlu Ü.

Sakarya Üniversitesi Fen Bilimleri Dergisi , cilt.3, ss.437-446, 2013 (Hakemli Dergi)

28. Mühendislik Eğitiminin İyileştirilmesine Yönelik Öneriler, Geleceğin Mühendisleri ve İşgücü Analizi

ÖZTÜRK M. M., Akgül A., Uçar K.

Süleyman Demirel Ünv. Fen bilimleri Enstitüsü Dergisi , cilt.17, sa.1, ss.14-18, 2013 (Hakemli Dergi)

29. Formal verification and validation with DEVS-Suite: OSPF Case study

Zengin A., Ozturk M. M.

SIMULATION MODELLING PRACTICE AND THEORY , cilt.29, ss.193-206, 2012 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 14

1. Derivative-Free vs. Sampling Based Optimization in Apache Spark MLlib

ÖZTÜRK M. M., Nejkovic V., Sager H.

61st International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2026, Nis, Sırbistan, 1 - 03 Temmuz 2026, ss.259-264, (Tam Metin Bildiri)

2. The Computational Efficiency of Task-Based Parallelism of Spark MLlib

ÖZTÜRK M. M., Nejkovic V.

12th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2025, Cacak, Sırbistan, 9 - 12 Haziran 2025, (Tam Metin Bildiri)

3. A Comprehensive Review of LLMs: Architecture, Performance, and Applications

YILMAZ Y., ÖZTÜRK M. M., Nejkovic V.

12th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2025, Cacak, Sırbistan, 9 - 12 Haziran 2025, (Tam Metin Bildiri)

4. JAVA KODLARI İÇİN OTOMATİK KOD YORUM SATIRI ÜRETME ARACI

Öztürk M. M., Sözer Ö.

5. Geleceğin Mühendisleri Uluslararası Öğrenci Sempozyumu, Zonguldak, Türkiye, 9 - 10 Temmuz 2021, ss.153-161, (Tam Metin Bildiri)

5. Deep learning-based software energyconsumption profiling?

ÖZTÜRK M. M.

ICAIAME2019, Antalya, Türkiye, 20 - 24 Nisan 2019, ss.1-11, (Tam Metin Bildiri)

6. An online-tool for tuning ensemble learning algorithms

ÖZTÜRK M. M.

International conference on cyber security and computer science, Karabük, Türkiye, 18 - 20 Ekim 2018, ss.1-5, (Tam Metin Bildiri)

7. Verification of the effectiveness of fuzzy rule-based fault prediction: A replication study

Anezakis V., ÖZTÜRK M. M.

2018 IEEE International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018, Thessaloniki, Yunanistan, 3 - 05 Temmuz 2018, (Tam Metin Bildiri)

8. Adapting code maintainability to bat-inspired test case prioritization

Ozturk M. M.

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017, Gdynia, Polonya, 3 - 05 Temmuz 2017, ss.67-72, (Tam Metin Bildiri)

9. HSDD: A hybrid sampling strategy for class imbalance in defect prediction data sets

Ozturk M. M., ZENGIN A.

2016 11th International Conference on Digital Information Management, ICDIM 2016, Porto, Portekiz, 19 - 21 Eylül 2016, ss.225-234, (Tam Metin Bildiri)