Predicting Software Cohesion Metrics with Machine Learning Techniques

Article Ergonomics

Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks

Xiao Li et al.

Summary: This study introduces a crowdsourcing solution to identify high-risk highway segments by analyzing driving jerks. By comparing the jerk-cluster-determined risky segments with crash-rate determined risky segments, the proposed solution is shown to have an estimated accuracy of 75%. This method can help safety specialists identify hazardous road segments before crashes occur.

ACCIDENT ANALYSIS AND PREVENTION (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging

Voxel-level Classification of Prostate Cancer on Magnetic Resonance Imaging: Improving Accuracy Using Four-Compartment Restriction Spectrum Imaging

Christine H. Feng et al.

Summary: The study evaluated the slowest diffusion compartment of a four-compartment spectrum imaging model (RSI4-C-1) as a quantitative voxel-level classifier of PCa, which outperformed conventional ADC and showed potential for clinical applications.

JOURNAL OF MAGNETIC RESONANCE IMAGING (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

Analysis of Lack of Cohesion in Methods (LCOM): A Case Study

Elif Nur Haner Kirgil et al.

Summary: With the increasing demand for software, the maintainability of software has become more important, leading to a need for qualitative study of source code. Cohesion is a crucial factor in object-oriented software development projects, aiming to ensure that each class serves a single purpose.

2ND INTERNATIONAL INFORMATICS AND SOFTWARE ENGINEERING CONFERENCE (IISEC) (2021)

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Article Computer Science, Information Systems

Quality Evaluation of Structural Design in Software Reverse Engineering: A Focus On Cohesion

Chung-Yang Chen et al.

Summary: This paper introduces an online knowledge-based ontological SRE system, OntRECoh, for evaluating the quality of converted UML structural models, which includes a domain-specific knowledge base and a rule-based inference engine to comprehensively evaluate system cohesion levels and provide improvement recommendations.

IEEE ACCESS (2021)

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Proceedings Paper Computer Science, Software Engineering