Mohamed Soliman

Orcid: 0000-0002-6638-3732

Affiliations:
  • Paderborn University, Germany


According to our database1, Mohamed Soliman authored at least 24 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Bericht zum ersten Treffen des Arbeitskreises Artificial Intelligence for Software Architecture.
Softwaretechnik-Trends, August, 2025

Mining software repositories for software architecture - A systematic mapping study.
Inf. Softw. Technol., 2025

Do Large Language Models Contain Software Architectural Knowledge? : An Exploratory Case Study with GPT.
Proceedings of the 22nd IEEE International Conference on Software Architecture, 2025

LLMs for Software Architecture Knowledge: A Comparative Analysis Among Seven LLMs.
Proceedings of the Software Architecture - 19th European Conference, 2025

2024
Where and What do Software Architects blog? An Exploratory Study on Architectural Knowledge in Blogs, and their Relevance to Design Steps.
Proceedings of the Software Engineering 2024, Fachtagung des GI-Fachbereichs Softwaretechnik, Linz, Austria, February 26, 2024

Exploring Architectural Design Decisions in Mailing Lists and Their Traceability to Issue Trackers.
Proceedings of the Software Architecture - 18th European Conference, 2024

2023
Automatic identification of self-admitted technical debt from four different sources.
Empir. Softw. Eng., June, 2023

Self-Admitted Technical Debt in the Embedded Systems Industry: An Exploratory Case Study.
IEEE Trans. Software Eng., April, 2023

Automatically Estimating the Effort Required to Repay Self-Admitted Technical Debt.
CoRR, 2023

Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources.
Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), 2023

DebtViz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Maestro: A Deep Learning Based Tool to Find and Explore Architectural Design Decisions in Issue Tracking Systems.
Proceedings of the Software Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium, 2023

2022
Understanding software architecture erosion: A systematic mapping study.
J. Softw. Evol. Process., 2022

Identifying self-admitted technical debt in issue tracking systems using machine learning.
Empir. Softw. Eng., 2022

Automatic Identification of Self-Admitted Technical Debt from Different Sources.
CoRR, 2022

Exploring Web Search Engines to Find Architectural Knowledge.
Proceedings of the Software Engineering 2022, 2022

Symptoms of Architecture Erosion in Code Reviews: A Study of Two OpenStack Projects.
Proceedings of the 19th IEEE International Conference on Software Architecture, 2022

2021
Architectural design decisions that incur technical debt - An industrial case study.
Inf. Softw. Technol., 2021

Understanding Architecture Erosion: The Practitioners' Perceptive.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

An Exploratory Study on Architectural Knowledge in Issue Tracking Systems.
Proceedings of the Software Architecture - 15th European Conference, 2021

2020
Identification and Remediation of Self-Admitted Technical Debt in Issue Trackers.
Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020

2019
Improving the Search for Architecture Knowledge in Online Developer Communities.
Proceedings of the Software Engineering and Software Management, 2019

2017
Developing an Ontology for Architecture Knowledge from Developer Communities.
Proceedings of the 2017 IEEE International Conference on Software Architecture, 2017

2016
Architectural Knowledge for Technology Decisions in Developer Communities: An Exploratory Study with StackOverflow.
Proceedings of the 13th Working IEEE/IFIP Conference on Software Architecture, 2016


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