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938 Views

26 Pages

A Bedbug Optimization-Based Machine Learning Framework for Software Fault Prediction

Bahman Arasteh,
Seyed Salar Sefati,
Eduard-Cristian Popovici,
Ibrahim Furkan Ince and
Farzad Kiani

Mathematics2025, 13(21), 3531;https://doi.org/10.3390/math13213531

4 November 2025

Predicting software faults and identifying defective modules is a significant challenge in developing reliable software products. Machine Learning (ML) approaches on the historical fault datasets are utilized to classify faulty software modules. The...

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3 Citations

1,423 Views

24 Pages

Generating Software Architectural Model from Source Code Using Module Clustering

Bahman Arasteh,
Seyed Salar Sefati,
Huseyin Kusetogullari and
Farzad Kiani

Symmetry2025, 17(9), 1523;https://doi.org/10.3390/sym17091523

12 September 2025

Software maintenance is one of the most expensive phases in software development, especially when complex source code is the only available artifact. Clustering software modules and generating a structured architectural model can significantly reduce...

(This article belongs to the Section A: Computer Science)

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