Tuğkan Tuğlular profile image
Tuğkan Tuğlular Prof. Dr. İZMİR YÜKSEK TEKNOLOJİ ENSTİTÜSÜ
Publication 6 Review 12
6 Publication
12 Review
0000-0001-6797-3913
14627984700

Research Fields

Information Security Management Computer Software

Institution

İZMİR YÜKSEK TEKNOLOJİ ENSTİTÜSÜ

Publications

A CONTRACT-DRIVEN AUTOMATED UNIT TEST MAINTENANCE APPROACH WITH GENERATIVE ARTIFICIAL INTELLIGENCE FOR BACKEND SOFTWARE PROJECTS
Authors: Furkan Samet Akıncı , Tuğkan Tuğlular
Published: 2025 , Akıllı Sistemler Dergisi
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 1024

0

1024

A Domain Specific Language for Event Sequence Graphs
Authors: Mert Kalecik , Tuğkan Tuğlular , Fevzi Belli
Published: 2024 , Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
DOI: 10.21205/deufmd.2024267607
FAVORITE 0 TOTAL DOWNLOAD COUNT 557

0

557

An Event-Based Approach Proposal for Class Test Generation in Object-Oriented Programming
Authors: Tuğkan Tuğlular
Published: 2023 , Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi
DOI: 10.54365/adyumbd.1368061
FAVORITE 0 TOTAL DOWNLOAD COUNT 728

0

728

Data Management and Ontology Development for Provenance-Aware Organizations in Linked Data Space
Authors: Fatih Soygazi , Tuğkan Tuğlular , Oğuz Dikenelli
Published: 2023 , European Journal of Technique (EJT)
DOI: 10.36222/ejt.1402149
FAVORITE 0 TOTAL DOWNLOAD COUNT 859

0

859

The software product line (SPL) is a promising approach to developing software systems that are complex, large-scale, and rich in product configuration. The automatic acquisition of product configurations’ models, which may be too many in the software product line, is very important in terms of time and cost constraints. In this study, we propose an approach that automatically extracts models of different product configurations from the full product model by feature deduction to obtain product models more productively and effectively. We validated the proposed approach on three different case studies: Soda Vending Machine SPL, Bank Account SPL, and Student Attendance System SPL. The two novelties of this study are the feature-dependency tree and the dynamic edge mapping algorithm.
Authors: Dilek Öztürk Kaya , Tuğkan Tuğlular
Published: 2023 , Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
DOI: 10.21205/deufmd.2023257318
FAVORITE 0 TOTAL DOWNLOAD COUNT 715

0

715

A new approach to event- and model-based feature-driven software testing and comparison with similar approaches
Authors: Fevzi Belli , Tuğkan Tuğlular , Ekincan Ufuktepe
Published: 2022 , International Advanced Researches and Engineering Journal
DOI: 10.35860/iarej.1135989
FAVORITE 0 TOTAL DOWNLOAD COUNT 613

0

613

Articles published in
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi
Akıllı Sistemler Dergisi
Akıllı Sistemler Dergisi
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
European Journal of Technique (EJT)
European Journal of Technique (EJT)
International Advanced Researches and Engineering Journal
International Advanced Researches and Engineering Journal
Editorial Board Memberships
International Journal of Information Security Science
International Journal of Information Security Science
Uluslararası Bilgi Güvenliği Mühendisliği Dergisi
Uluslararası Bilgi Güvenliği Mühendisliği Dergisi

Reviews

Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Gümüşhane University Journal of Science and Technology
Gümüşhane University Journal of Science and Technology
International Advanced Researches and Engineering Journal
International Advanced Researches and Engineering Journal
International Journal of Engineering Research and Development
International Journal of Engineering Research and Development
Journal of Information Technologies
Journal of Information Technologies
Nigde Omer Halisdemir University Journal of Engineering Sciences
Nigde Omer Halisdemir University Journal of Engineering Sciences
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi
Uluslararası Bilgi Güvenliği Mühendisliği Dergisi
Uluslararası Bilgi Güvenliği Mühendisliği Dergisi
There are no Crossref cited.
Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.