Nazlıoğlu, Selma
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Suloglu, Selma Nazlioglu S. S.,Nazlioglu Selma, Nazlioglu S., Nazlioglu Nazlioğlu, Selma N.,Selma S.,Nazlioğlu Selma, Nazlioğlu Nazlıoğlu, Selma Nazlioglu,S. Nazlıoğlu,S. S., Nazlıoğlu Nazlioglu, Selma Selma, Nazlıoğlu N., Selma S.,Nazlıoğlu S., Nazlioğlu Süloğlu, Selma Süloğlu, S.
Job Title
Doktor Öğretim Üyesi
Email Address
selma.suloglu@atilim.edu.tr
Main Affiliation
Software Engineering
Status
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
No research topics data found.
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
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3GOOD HEALTH AND WELL-BEING
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4QUALITY EDUCATION
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5GENDER EQUALITY
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6CLEAN WATER AND SANITATION
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7AFFORDABLE AND CLEAN ENERGY
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8DECENT WORK AND ECONOMIC GROWTH
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
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10REDUCED INEQUALITIES
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11SUSTAINABLE CITIES AND COMMUNITIES
2
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
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13CLIMATE ACTION
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14LIFE BELOW WATER
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15LIFE ON LAND
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
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17PARTNERSHIPS FOR THE GOALS
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Documents
6
Citations
7
h-index
1
Documents
9
Citations
28
No records found in other affiliations.
Scholarly Output
20
Articles
4
Views / Downloads
19/53
Supervised MSc Theses
6
Supervised PhD Theses
0
WoS Citation Count
4
Scopus Citation Count
10
Patents
0
Projects
0
WoS Citations per Publication
0.20
Scopus Citations per Publication
0.50
Open Access Source
3
Supervised Theses
6
| Journal | Count |
|---|---|
| Proceedings - 5th International Conference on Informatics and Software Engineering, IISEC 2026 -- 5th International Conference on Informatics and Software Engineering, IISEC 2026 -- 5 February 2026 through 6 February 2026 -- Ankara -- 221523 | 7 |
| Afet ve Risk Dergisi | 1 |
| Applied Sciences | 1 |
| IEEE Software | 1 |
| 16th European Conference on Software Architecture (ECSA) -- SEP 19-23, 2022 -- Prague, CZECH REPUBLIC | 1 |
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Scopus Quartile Distribution
Competency Cloud
20 results
Scholarly Output Search Results
Now showing 1 - 10 of 20
Conference Object Prompting for Security: A Cross-Model Evaluation of Code Generation in LLMs(Institute of Electrical and Electronics Engineers Inc., 2025) Saleem, W.; Nazlioglu, S.The security of AI-generated code has become a growing concern as Large Language Models (LLMs) like GPT-4, Gemini, DeepSeek, and LLaMA are increasingly integrated into software development pipelines. While prior research has primarily focused on GPT-family models, the security performance of newer open models under structured prompting remains underexplored. This study evaluates the ability of modern LLMs to generate secure code using six established prompting strategies across 150 Python tasks (LLMSecEval). Generated code was assessed using two static analysis tools (Bandit and CodeQL) to detect Common Weakness Enumeration (CWE) vulnerabilities. Findings showed that Recursive Criticism and Improvement (RCI) prompting significantly improves security outcomes across all models. Notably, LLaMA produced over 15,800 lines of vulnerability-free code under RCI. Gemini and DeepSeek also showed notable improvements under guided prompting. From a tool-specific perspective, Bandit and Cod-eQL produced divergent results, with CodeQL exposing deeper or more complex vulnerabilities. These results highlight the necessity of prompt-aware security evaluations and multi-tool static analysis to ensure reliable, secure code generation from LLMs. This study offers practical insights into secure code generation for developers and researchers. © 2025 IEEE.Article Citation - Scopus: 1Digital Solutions for Disaster Management: Analyzing the Impact of the February 2023 Earthquake in Türkiye(Ankara University, 2024) Nazlıoğlu, S.; Kalem, G.; Yazıcı, A.This research investigates the involvement of information technologies, including communication platforms and social media solutions, in managing earthquake disasters, specifically focusing on the February 2023 earthquake in Türkiye. In order to achieve this, a comparative framework is constructed, which incorporates four main categories, namely goal, providers, target phase, and platform. The data is gathered from diverse sources, and a total of 130 solutions are identified immediately following the February 2023 earthquake in Türkiye. After conducting a thorough examination of these solutions and removing any duplicates and irrelevant options, the final dataset comprises 89 unique solutions sourced from 82 providers. According to the study's findings, the solutions employed in mitigation and preparedness phases prioritize proactive measures and planning, while the ones in response phase witnesses a significant increase in activities related to aid campaigns, emergency response, information dissemination, and support services. The solutions in recovery phase further intensifies support services to aid affected communities. Web-based platforms are predominantly used during different phases of disaster management, with mobile platforms playing a crucial role in communication and on-the-ground activities. Private organizations exhibit strong involvement in developing IT platforms, while public entities and NGOs contribute to a lesser extent. © 2024, Ankara University. All rights reserved.Conference Object Citation - WoS: 1Citation - Scopus: 2A Methodological Approach To Verify Architecture Resiliency(Springer international Publishing Ag, 2023) Santos, Joanna C. S.; Suloglu, Selma; Catano, Nestor; Mirakhorli, MehdiArchitecture-first approach to address software resiliency is becoming the mainstream development method for mission-critical and software-intensive systems. In such approach, resiliency is built into the system from the ground up, starting with a robust software architecture design. As a result, a flaw in the design of a resilient architecture affects the system's ability to anticipate, withstand, recover from, and adapt to adverse conditions, stresses, attacks, or compromises on cyber-resources. In this paper, we present an architecture-centric reasoning and verification methodology for detecting design weaknesses in resilient systems. Our goal is to assist software architects in building sound architectural models of their systems. We showcase our approach with the aid of an Autonomous Robot modeled in AADL, in which we use our methodology to uncover three architectural weaknesses in the adoption of three architectural tactics.Master Thesis Programlama Eğitimi için Otomatik Kod Değerlendirme Yazılımı(2023) Alper, Burcu; Kılıç, Hürevren; Nazlıoğlu, SelmaBu tez, öğrenci çalışmalarını değerlendirme sürecini geliştirmek için tasarlanmış otomatik bir kod değerlendirme aracı olan ACE-PE'yi tanıtmaktadır. ACE-PE, nesne yönelimli programlamaya ilişkin eğitim içeriğini yazılım kalite ölçütleriyle bütünleştirir. Eğitimciler, öğrencilerin belirli konu alanlarındaki performansını değerlendirme, anlama düzeylerini değerlendirme ve bireysel çabalarını takip etme esnekliğine sahip olacaklardır. Ayrıca, bu uygulama öğrencilere içeriğe duyarlı otomatik geri bildirim sağlayarak geliştirme becerilerini geliştirmelerine ve nihai çıktılarının genel kalitesini optimize etmelerine olanak tanır.Conference Object Citation - Scopus: 1Ace-Pe: an Automated Code Evaluation Software Tool for Programming Education(Institute of Electrical and Electronics Engineers Inc., 2023) Alper,B.; Nazlioglu,S.; Kilic,H.An automated code evaluation tool that combines the usage of software quality metrics and object-oriented programming teaching subjects is designed and developed. The tool (called ACE-PE) gives flexibility to instructors to assess student assignments at the level of precision of specific subjects which reveals the degree of student's understanding of covered subjects, and to observe his/her own effort, as well. Provision of content-aware automated fast feedback to students to improve quality of their products and development efforts is another outcome of the proposed solution. © 2023 IEEE.Conference Object Unveiling the Landscape of Requirements Engineering: Insights from Text Mining(Institute of Electrical and Electronics Engineers Inc., 2026) Uguz, Sezer; Nazlioglu, Selma; Tokdemir, GulThis study applies text mining to analyze the Requirements Engineering (RE) literature over a 21-year period aiming to understand its evolution, current state, and future trajectory. Our analysis of publication volume, citation data, and funding trends reveals a significant evolution in research focus. We identify a clear transition away from foundational topics like model specification and project management towards a greater emphasis on user-centric and quality-focused themes. Specifically, topics such as elicitation technique, evaluation/validation/testing, and user perspective/aspect have demonstrated a dramatic surge in academic interest, citations, and research funding in the last decade. These findings provide a data-driven roadmap of the RE domain, offering valuable guidance for stakeholders to align with current trends and for researchers to identify impactful future directions in software engineering. © 2026 IEEE.Conference Object Quantifying the Hidden Costs of Open-Source License Selection(Institute of Electrical and Electronics Engineers Inc., 2026) Kutlu, Berilcan; Akbaba, Battal Emirhan; Oguzer, Mubin Kerim; Nazlioglu, SelmaThis study fills a gap in the existing literature regarding OSS licensing and maintenance by evaluating empirically if some OSS license types (permissive, weak or strong copyleft) create a different level of maintenance efficiencies. In order to achieve this goal, researchers created a data set of 60 OSS repositories using six types of licenses and gathered from a 120-day window of activity via the GitHub REST API. The results of the study suggest that each of the three license types has a significant influence upon both the level of community participation and the quantity of issues created in each specific repository. That being said, the findings suggest that permissive licenses (e.g., MIT and Apache 2.0), will have a greater number of people contributing to them (thus, higher levels of community participation), but at the same time will require a higher degree of administrative effort by the maintainer of the repository than will either of the other types of licenses, whereas repositories that are licensed under copylefts generally will have less contribution to their repositories (therefore, lower community participation), but will allow maintainers to more effectively control and manage the maintenance of their respective repositories due to a greater degree of stability.One of the most significant results in our study shows that the time taken to resolve issues is not affected by the license's restrictions. Instead, we found that the speed with which issues can be resolved is dependent upon the inner workings of managing projects, and not dependent upon the user's license. In fact, this evidence shows that selection of a project license will affect the amount of maintenance work created on the project, as well as the structure of the overall project; and therefore, is not only a legal decision but also a strategic operational decision. © 2026 IEEE.Conference Object LLM-Based Evaluation of Software Engineering Curriculum Coverage Against SWEBOK 4.0a: A Case Study(Institute of Electrical and Electronics Engineers Inc., 2026) Algburi, Abduulrahman; Yazici, Ali; Alyasari, Ali; Al-Dahlaki, Mohammedmahdi; Nazlioglu, SelmaEnsuring that software engineering curricula align with industry-recognized standards is crucial for producing competent graduates. The Software Engineering Body of Knowledge (SWEBOK) serves as the primary reference for defining the scope and content of the software engineering discipline. This paper adapts Large Language Model (LLM) capabilities for evaluating curriculum coverage against the SWEBOK Version 4.0a. We evaluated 205 courses (131 undergraduate, 74 graduate) from Atilim University's Software Engineering program against all 446 SWEBOK subtopics across 18 Knowledge Areas. Using Google's Gemini 2.0 Flash Lite model with a structured scoring rubric and JSON output format, we generated 91,430 course-subtopic coverage assessments. We introduce a quality-weighted coverage metric that emphasizes depth over incidental mentions: using this approach, 57.6% of SWEBOK subtopics achieve quality coverage, with Software Engineering Models and Methods (79.3%) and Computing Foundations (78.8%) gaining the highest coverage, while Software Configuration Management (31.7%) and Software Engineering Economics (32.5%) require enhancement. This study demonstrates the feasibility of LLM-based large-scale curriculum evaluation and provides actionable insights to academia for curriculum improvement. © 2026 IEEE.Article Education With Experience: Assessment of a Co-Op Model in Undergraduate Engineering Programs in Computing(Ieee Computer Soc, 2023) Nazlioglu, Selma; Turhan, Cigdem; Yazici, AliA major concern among graduates of computing departments is the discrepancy between the expectations of software companies and the competencies provided by the academic departments. This ongoing problem makes co-op education inevitable, as it combines industrial experience with traditional education.Conference Object The Impact of Prompting Strategies on the Quality of LLM-Generated Biomedical Explanations(Institute of Electrical and Electronics Engineers Inc., 2026) Bon, Mohammad; Kizilirmak, Merve; Alper, Barkin Mert; Nazlioglu, SelmaRecent advancements in Large Language Models (LLMs) have great potential for understanding and reasoning within the biomedical field. Yet, the ability to craft interpretable and dependable medical explanations is predominantly determined by the design and arrangement of prompts. This research evaluates three styles of prompting (structured, role-based, and a hybrid combining both) and their influence on the quality of explanations from the GPT-5 model on the DDXPlus medical dataset. Significant differences in clarity and confidence were observed across all prompt techniques in the selected cases. Role-based referrals achieved the highest clarity (5.0 out of 5.0) and confidence scores (81.2%), while hybrid referrals explained symptom-disease relationships in a detailed and structured manner. Furthermore, the inclusion of clinician assessment in the study enhances the importance of research into real-world clinical applications in terms of comparing ground-truth and model outcomes. Overall, the findings demonstrate that strategic referral design is crucial for optimizing LLM outcomes in clinical practice and enables a transition from accurate diagnoses to truly interpretable and clinically useful explanations. © 2026 IEEE.