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Open Access

Software Reliability Assessment: An Architectural and Component Impact Analysis

Applied College in Dwadmi, Shaqra Univerity, Shaqra 11961, Saudi Arabia
Department of Information Technology, University of Tabuk, Tabuk 47713, Saudi Arabia
Department of Information Technology, Taif University, Taif 21944, Saudi Arabia
Department of Artificial Intelligence and Data Science, University of Hail, Hail 55431, Saudi Arabia
College of Computer Science and Engineering, University of Hafr Albatin, Hafar Albatin 31991, Saudi Arabia
Department of Computer Science, Islamic University of Madinah, Madinah 42351, Saudi Arabia
College of Computer and Information Sciences, Jouf University, Sakaka 42421, Saudi Arabia
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Abstract

In the software landscape, understanding component impacts on system reliability is pivotal, especially given the unique complexities of modern software systems. This paper presents a model tailored for software reliability assessment. Our approach introduces the “component influence” to measure a single component’s effect on overall system reliability. Additionally, we adapt a state transition model to cater to the diverse architectures of software systems. Using a discrete-time Markov chain, we predict software reliability. We test our model on an actual software system, finding it notably accurate and superior to existing methods. Our work offers a promising direction for those venturing into software reliability enhancement.

Keywords

software reliabilityarchitectural analysisstate transition model

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Tsinghua Science and Technology
Volume 30 Issue 2,
April 2025
Pages 908-925
DOI: 10.26599/TST.2024.9010101
Cite this article:
Alyahyan S, Alatawi MN, Alnfiai MM, et al. Software Reliability Assessment: An Architectural and Component Impact Analysis. Tsinghua Science and Technology, 2025, 30(2): 908-925. https://doi.org/10.26599/TST.2024.9010101

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Received: 07 April 2024
Revised: 16 May 2024
Accepted: 31 May 2024
Published: 28 June 2024
© The Author(s) 2025.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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