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

2

ZERO HUNGER
ZERO HUNGER Logo

0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

2

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

0

Research Products

6

CLEAN WATER AND SANITATION
CLEAN WATER AND SANITATION Logo

0

Research Products

1

NO POVERTY
NO POVERTY Logo

0

Research Products

5

GENDER EQUALITY
GENDER EQUALITY Logo

0

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

0

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
PEACE, JUSTICE AND STRONG INSTITUTIONS Logo

0

Research Products

17

PARTNERSHIPS FOR THE GOALS
PARTNERSHIPS FOR THE GOALS Logo

0

Research Products

15

LIFE ON LAND
LIFE ON LAND Logo

0

Research Products

10

REDUCED INEQUALITIES
REDUCED INEQUALITIES Logo

0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
DECENT WORK AND ECONOMIC GROWTH Logo

0

Research Products

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

0

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

0

Research Products

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

0

Research Products

13

CLIMATE ACTION
CLIMATE ACTION Logo

0

Research Products
Documents

4

Citations

6

h-index

1

Go to Scopus profile
Documents

9

Citations

28

Go to WoS profile
Scholarly Output

11

Articles

4

Views / Downloads

38/570

Supervised MSc Theses

4

Supervised PhD Theses

0

WoS Citation Count

4

Scopus Citation Count

7

WoS h-index

1

Scopus h-index

1

Patents

0

Projects

0

WoS Citations per Publication

0.36

Scopus Citations per Publication

0.64

Open Access Source

3

Supervised Theses

4

Google Analytics Visitor Traffic

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
Current Page: 1 / 2

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

20251
Reset filters

Settings

Author: Saleem, W.Subject: Prompt Engineering

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • 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.