Nazlıoğlu, Selma

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/7208
Name Variants
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
0000-0001-8609-5714
Scopus Author ID
57984702300
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
AAP-5971-2021

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
0
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GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
2
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

6

Citations

6

h-index

1

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Documents

9

Citations

28

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Scholarly Output

13

Articles

4

Views / Downloads

42/614

Supervised MSc Theses

6

Supervised PhD Theses

0

WoS Citation Count

4

Scopus Citation Count

8

Patents

0

Projects

0

WoS Citations per Publication

0.31

Scopus Citations per Publication

0.62

Open Access Source

3

Supervised Theses

6

JournalCount
16th European Conference on Software Architecture (ECSA) -- SEP 19-23, 2022 -- Prague, CZECH REPUBLIC1
Afet ve Risk Dergisi1
Applied Sciences1
IEEE Software1
International Conference on Computer Science and Engineering, UBMK -- 10th International Conference on Computer Science and Engineering, UBMK 2025 -- 2025-09-17 Through 2025-09-21 -- Istanbul -- 2142431
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Type: Conference Object

Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    A Methodological Approach To Verify Architecture Resiliency
    (Springer international Publishing Ag, 2023) Santos, Joanna C. S.; Suloglu, Selma; Catano, Nestor; Mirakhorli, Mehdi
    Architecture-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.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 1
    Ace-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.
  • Thumbnail Image
    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.