Utilizing Clone Detection for Domain Analysis of Simulation Systems. - Merve Astekin; Hasan Sözer (WICSA/ECSA, 2012)

Projede Bir Müşteri Avukatı: Bağımsız DG Ekibi. - Ali Gürbüz; Aysegül Kurt; Merve Astekin; Mustafa Sari; Mehmet Sahinoglu (UYMS, 2013)

A Big Data Processing Framework for Self-Healing Internet of Things Applications. - Bahadir Dundar; Merve Astekin; Mehmet S. Aktas (SKG, 2016)

Evaluation of Distributed Machine Learning Algorithms for Anomaly Detection from Large-Scale System Logs: A Case Study. - Merve Astekin; Harun Zengin; Hasan Sözer (IEEE BigData, 2018)

Incremental Analysis of Large-Scale System Logs for Anomaly Detection. - Merve Astekin; Selim Özcan; Hasan Sözer (IEEE BigData, 2019)

Provenance aware run-time verification of things for self-healing Internet of Things applications. - Mehmet S. Aktas; Merve Astekin (Concurr. Comput. Pract. Exp., 2019)

DILAF: A framework for distributed analysis of large-scale system logs for anomaly detection. - Merve Astekin; Harun Zengin; Hasan Sözer (Softw. Pract. Exp., 2019)

Scalable analysis of large-scale system logs for anomaly detection () - Merve Astekin (2019)

Centrality and Scalability Analysis on Distributed Graph of Large-Scale E-mail Dataset for Digital Forensics. - Selim Ozcan; Merve Astekin; Narasimha K. Shashidhar; Bing Zhou 002 (IEEE BigData, 2020)

DIEF: An Autopsy Module for Distributed Identification of E-mail Files from Disk Images. - Selim Ozcan; Merve Astekin; William Bradley Glisson; Kim-Kwang Raymond Choo (iSCI, 2021)

Adaptive Immunity for Software: Towards Autonomous Self-healing Systems. - Moeen Ali Naqvi; Merve Astekin; Sehrish Malik; Leon Moonen (SANER, 2021)

On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering. - Moeen Ali Naqvi; Sehrish Malik; Merve Astekin; Leon Moonen (ACSOS, 2022)

A Comparative Study on Large Language Models for Log Parsing. - Merve Astekin; Max Hort; Leon Moonen (ESEM, 2024)

An Exploratory Study on How Non-Determinism in Large Language Models Affects Log Parsing. - Merve Astekin; Max Hort; Leon Moonen (InteNSE, 2024)

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency. - Erik Johannes Husom; Arda Goknil; Merve Astekin; Lwin Khin Shar; Andre Kåsen; Sagar Sen; Benedikt Andreas Mithassel; Ahmet Soylu (CoRR, 2025)