Ontoloji tabanlı bir anlamsal ilintililik yöntemi geliştirilmesi ve yöntemin metin bağdaşıklığının otomatik olarak ölçümünde kullanılması (Development of an ontology-based semantic relatedness measurement method and its application to automatic measurement of text coherence) - Görkem Giray (2011)

Yazılım Geliştirme Süreci Uyarlama İçin Bir Çerçeve Önerisi. - Görkem Giray (UYMS, 2015)

Systematic approach for mapping software development methods to the essence framework. - Görkem Giray; Eray Tüzün; Bedir Tekinerdogan; Yagup Macit (TOSE@ICSE, 2016)

Servis Tabanli Bir Melez Veri Erisim Mimarisi Onerisi. - Nail Diker; Görkem Giray; Murat Osman Ünalir (UYMS, 2016)

Turkiye'deki Universitelerdeki Yazilim Muhendisligi Ogretim Programlarinin SWEBOK Kilavuzu Kullanilarak Degerlendirilmesi. - Görkem Giray; Eray Tüzün; Vahid Garousi (UYMS, 2016)

On the Use of Ontologies in Software Process Assessment: A Systematic Literature Review. - Ayça Tarhan; Görkem Giray (EASE, 2017)

Universitelerdeki Yazilim Muhendisligi Egitim Programlarinda Teknik Olmayan Becerilerin Yeri: Ilk Sonuclar(The Role of Non-Technical Skills in Software Engineering Curriculum in Universities: Preliminary Results). - Görkem Giray; Murat Pasa Uysal (UYMS, 2017)

Yazilim Muhendisligi Arastirmalarina Oz Cerceve Yaklasimi (An Essence Framework Approach to Software Engineering Research). - Murat Pasa Uysal; Görkem Giray (UYMS, 2017)

Situational Method Engineering for Constructing Internet of Things Development Methods. - Görkem Giray; Bedir Tekinerdogan (BMSD, 2018)

The Impact of Situational Context on Software Process: A Case Study of a Very Small-Sized Company in the Online Advertising Domain. - Görkem Giray; Murat Yilmaz 001; Rory V. O'Connor; Paul M. Clarke (EuroSPI, 2018)

Towards unified software project monitoring for organizations using hybrid processes and tools. - Eray Tüzün; Çagdas Üsfekes; Yagup Macit; Görkem Giray (ICSSP, 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)

Methods for Identifying Architectural Debt: A Systematic Mapping Study. - Yagup Macit; Görkem Giray; Eray Tüzün (UYMS, 2020)

Improving Cost Estimation in Internet Advertising Using Machine Learning: Preliminary Results. - Seyma Tahmaz; Murat Osman Ünalir; Görkem Giray; Sena Koçer (UYMS, 2020)

Assessment of text coherence using an ontology-based relatedness measurement method. - Görkem Giray; Murat Osman Ünalir (Expert Syst. J. Knowl. Eng., 2020)

Understanding the Knowledge Gaps of Software Engineers: An Empirical Analysis Based on SWEBOK. - Vahid Garousi; Görkem Giray; Eray Tüzün (ACM Trans. Comput. Educ., 2020)

Closing the Gap Between Software Engineering Education and Industrial Needs. - Vahid Garousi; Görkem Giray; Eray Tüzün; Cagatay Catal; Michael Felderer (IEEE Softw., 2020)

An assessment of student satisfaction with e-learning: An empirical study with computer and software engineering undergraduate students in Turkey under pandemic conditions. - Görkem Giray (Educ. Inf. Technol., 2021)

A software engineering perspective on engineering machine learning systems: State of the art and challenges. - Görkem Giray (J. Syst. Softw., 2021)

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)

Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. - Antonio Pedro Santos Alves; Marcos Kalinowski; Görkem Giray; Daniel Méndez 001; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Jürgen Musil; Michael Felderer; et al. (PROFES (1), 2023)

On the use of deep learning in software defect prediction. - Görkem Giray; Kwabena Ebo Bennin; Ömer Köksal; Önder Babur; Bedir Tekinerdogan (J. Syst. Softw., 2023)

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. - Eduardo Zimelewicz; Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Juergen Musil; et al. (Zenodo, 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)

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. - Eduardo Zimelewicz; Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Niklas Lavesson; Kelly Azevedo; Hugo Villamizar; Tatiana Escovedo; Hélio Lopes 001; Stefan Biffl; Juergen Musil; et al. (SWQD, 2024)

Naming the Pain in Machine Learning-Enabled Systems Engineering. - Marcos Kalinowski; Daniel Méndez 001; Görkem Giray; Antonio Pedro Santos Alves; Kelly Azevedo; Tatiana Escovedo; Hugo Villamizar; Hélio Lopes 001; Maria Teresa Baldassarre; Stefan Wagner 001; Stefan Biffl; Jürgen Musil; et al. (CoRR, 2024)

Characterising harmful API uses and repair techniques: Insights from a systematic review. - Lina Ochoa; Muhammad Hammad 001; Görkem Giray; Önder Babur; Kwabena Ebo Bennin (Comput. Sci. Rev., 2025)