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A multi-release reliability model of open source software with fault detection obeying three-parameter lifetime
Jinyong Wang1, Pengda Li2, Jiaxuan Hu2
1School of Automation and Software Engineering, Shanxi University, Taiyuan, People's Republic of China. wjy@sxu.edu.cn.
Scientific Reports
|August 23, 2024
Summary
A new multi-release open source software (OSS) reliability model, based on a three-parameter lifetime distribution, effectively adapts to changing fault detection rates. This model demonstrates superior fitting and predictive performance for OSS reliability evaluation.
Area of Science:
- Computer Science
- Software Engineering
- Reliability Engineering
Background:
- Open source software (OSS) development presents unique challenges for reliability assessment.
- Existing OSS reliability models struggle to adapt to the dynamic fault detection rates inherent in complex development and testing environments.
- Accurate software reliability is crucial for the widespread adoption and trust in OSS.
Purpose of the Study:
- To propose a novel multi-release open source software reliability model.
- To address the limitations of current models in handling the variable fault detection rates in OSS.
- To enhance the accuracy of OSS reliability evaluation for developers.
Main Methods:
- Development of a multi-release OSS reliability model utilizing a three-parameter lifetime distribution.
- Comparative analysis of the proposed model against existing multi-release OSS reliability models.
- Validation through experimental results focusing on fitting and predictive performance.
Main Results:
- The proposed model demonstrates effective adaptation to complex changes in OSS fault detection during development and testing.
- Experimental results show superior fitting and predictive performance compared to other multi-release OSS reliability models.
- The model exhibits enhanced adaptability to diverse OSS fault detection environments.
Conclusions:
- The proposed three-parameter lifetime distribution-based model offers a significant improvement for assessing multi-release OSS reliability.
- This model provides a more robust solution for evaluating OSS reliability in dynamic and complex environments.
- It serves as a valuable tool for developers to accurately assess and manage the reliability of open source software.
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