Software Security Assurance with an Augmented Software Component Analysis Approach for Open Source Component Evaluation

Open source components are the foundation of modern software development, thereby making software component analysis (SCA) as an essential method to ensuring software security. However, existing SCA methods concentrate on identifying open source component's security issues, ignoring comprehensive analysis with components' maintenance and support posture. In this paper, we investigated the literature from industry and academia about secure software development process, software and component evaluation models, and evaluation methodologies. Then, we proposed advanced open source component analysis (AOSCA), an augmented SCA approach by additionally quantifying a set of attributes for evaluation, despite of the conventional detected issues. The experimental results demonstrate that AOSCA can effectively assessing open source components and provide the evaluation result to software development organisation based on requirements and preference. To sum up, AOSCA provides a comprehensive but effective mechanism for open source component evaluation. Applying AOSCA as a security practice during software development process is vital for software security assurance.

Authors

Institutions

Publication Details

Journal
International Journal of Autonomous and Adaptive Communications Systems
Published
2025-01-01
DOI
https://doi.org/10.1504/ijaacs.2025.10070268
Primary Topic
Software Reliability and Analysis Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Software Security Assurance with an Augmented Software Component Analysis Approach for Open Source Component Evaluation

X. Dai, Hu Jian, Hailin Wang, Jie Wang et al.
International Journal of Autonomous and Adaptive Communications Systems
Software Reliability and Analysis Research
article

Software Security Assurance with an Augmented Software Component Analysis Approach for Open Source Component Evaluation

X. Dai, Hu Jian, Hailin Wang, Jie Wang, Y. Yu, Tao Chuan, Linfei Li
article en

Abstract

Open source components are the foundation of modern software development, thereby making software component analysis (SCA) as an essential method to ensuring software security. However, existing SCA methods concentrate on identifying open source component's security issues, ignoring comprehensive analysis with components' maintenance and support posture. In this paper, we investigated the literature from industry and academia about secure software development process, software and component evaluation models, and evaluation methodologies. Then, we proposed advanced open source component analysis (AOSCA), an augmented SCA approach by additionally quantifying a set of attributes for evaluation, despite of the conventional detected issues. The experimental results demonstrate that AOSCA can effectively assessing open source components and provide the evaluation result to software development organisation based on requirements and preference. To sum up, AOSCA provides a comprehensive but effective mechanism for open source component evaluation. Applying AOSCA as a security practice during software development process is vital for software security assurance.

International Journal of Autonomous and Adaptive Communications SystemsVol. 18(5)
University of Electronic Science and Technology of China (CN), China Southern Power Grid (China) (CN), Xiamen University of Technology (CN)
Openalex Percentile: Top 95%
Software Reliability and Analysis Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Software Security Assurance with an Augmented Software Component Analysis Approach for Open Source Component Evaluation — X. Dai, Hu Jian, et al. · International Journal of Autonomous and Adaptive Communications Systems (2025) | TGRS Research Map | TGRS