Mohammed Sayagh

Orcid: 0000-0002-2724-0034

According to our database1, Mohammed Sayagh authored at least 35 papers between 2015 and 2025.

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Bibliography

2025
OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval.
CoRR, August, 2025

An ML-based Approach to Predicting Software Change Dependencies: Insights from an Empirical Study on OpenStack.
CoRR, August, 2025

Think Broad, Act Narrow: CWE Identification with Multi-Agent Large Language Models.
CoRR, August, 2025

An Empirical Study on the Amount of Changes Required for Merge Request Acceptance.
CoRR, July, 2025

Towards understanding code review practices for infrastructure-as-code: An empirical study on OpenStack projects.
Empir. Softw. Eng., June, 2025

Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement.
CoRR, May, 2025

Build Optimization: A Systematic Literature Review.
CoRR, January, 2025

GHAminer: An Open Source Tool to Extract GitHub Actions Build Metrics.
Proceedings of the IEEE International Conference on Software Analysis, 2025

An Empirical Study on Microservices Deployment Trends, Topics and Challenges in Stack Overflow.
Proceedings of the IEEE International Conference on Software Analysis, 2025

Security Bug Report Prediction Within and Across Projects: A Comparative Study of BERT and Random Forest.
Proceedings of the 21st International Conference on Predictive Models and Data Analytics in Software Engineering, 2025

An Empirical Study on Hugging Face Trends, Topics and Challenges on Stack Overflow.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024
The impact of concept drift and data leakage on log level prediction models.
Empir. Softw. Eng., September, 2024

An empirical study on cross-component dependent changes: A case study on the components of OpenStack.
Empir. Softw. Eng., September, 2024

A literature review and existing challenges on software logging practices.
Empir. Softw. Eng., July, 2024

What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects.
ACM Trans. Softw. Eng. Methodol., January, 2024

On the Prevalence, Co-occurrence, and Impact of Infrastructure-as-Code Smells.
Proceedings of the IEEE International Conference on Software Analysis, 2024

On the Impact of Draft Pull Requests on Accelerating Feedback.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

How Much Logs Does My Source Code File Need? Learning to Predict the Density of Logs.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023
An Empirical Study on GitHub Pull Requests' Reactions.
ACM Trans. Softw. Eng. Methodol., November, 2023

An Empirical Study on Log Level Prediction for Multi-Component Systems.
IEEE Trans. Software Eng., February, 2023

The Co-evolution of the WordPress Platform and Its Plugins.
ACM Trans. Softw. Eng. Methodol., January, 2023

IoPV: On Inconsistent Option Performance Variations.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2022
Improving State-of-the-Art Compression Techniques for Log Management Tools.
IEEE Trans. Software Eng., 2022

2021
ConfigMiner: Identifying the Appropriate Configuration Options for Config-Related User Questions by Mining Online Forums.
IEEE Trans. Software Eng., 2021

A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives.
IEEE Trans. Software Eng., 2021

An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions.
ACM Trans. Softw. Eng. Methodol., 2021

A study of how Docker Compose is used to compose multi-component systems.
Empir. Softw. Eng., 2021

2020
Software Configuration Engineering in Practice Interviews, Survey, and Systematic Literature Review.
IEEE Trans. Software Eng., 2020

What should your run-time configuration framework do to help developers?
Empir. Softw. Eng., 2020

An empirical study of the characteristics of popular Minecraft mods.
Empir. Softw. Eng., 2020

Too many images on DockerHub! How different are images for the same system?
Empir. Softw. Eng., 2020

2017
Does the Choice of Configuration Framework Matter for Developers? Empirical Study on 11 Java Configuration Frameworks.
Proceedings of the 17th IEEE International Working Conference on Source Code Analysis and Manipulation, 2017

On cross-stack configuration errors.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
Energy profiles of Java collections classes.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
Multi-layer software configuration: Empirical study on wordpress.
Proceedings of the 15th IEEE International Working Conference on Source Code Analysis and Manipulation, 2015


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