Big Data-Enabled Frameworks for Software Reliability Assessment
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ID: 309118
2022
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Abstract
The increasing complexity and scale of modern software systems necessitate advanced methodologies for assessing software reliability. Traditional reliability models often fall short in capturing the dynamic nature of big data environments. This paper proposes an integrated framework that leverages big data analytics to enhance software reliability assessment. By incorporating real-time data streams, machine learning algorithms, and predictive analytics, the framework offers a comprehensive approach to monitor, evaluate, and improve software reliability. The proposed model is validated using case studies from open-source big data platforms, demonstrating its efficacy in real-world scenarios.
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| Authors | Hurriya Fahad |
| Journal | International journal of advanced sciences and computing |
| Year | 2022 |
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| Keywords | Keywords not found |
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