Predicting Software Reliability in Softwarized Networks
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866910548160937984 |
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| author | Ozkan, Hasan Yagiz Kaufmann, Madeleine Kellerer, Wolfgang Mas-Machuca, Carmen |
| author_facet | Ozkan, Hasan Yagiz Kaufmann, Madeleine Kellerer, Wolfgang Mas-Machuca, Carmen |
| contents | Providing high quality software and evaluating the software reliability in softwarized networks are crucial for vendors and customers. These networks rely on open source code, which are sensitive to contain high number of bugs. Both, the knowledge about the code of previous releases as well as the bug history of the particular project can be used to evaluate the software reliability of a new software release based on SRGM. In this work a framework to predict the number of the bugs of a new release, as well as other reliability parameters, is proposed. An exemplary implementation of this framework to two particular open source projects, is described in detail. The difference between the prediction accuracy of the two projects is presented. Different alternatives to increase the prediction accuracy are proposed and compared in this paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_21224 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Predicting Software Reliability in Softwarized Networks Ozkan, Hasan Yagiz Kaufmann, Madeleine Kellerer, Wolfgang Mas-Machuca, Carmen Software Engineering Networking and Internet Architecture Providing high quality software and evaluating the software reliability in softwarized networks are crucial for vendors and customers. These networks rely on open source code, which are sensitive to contain high number of bugs. Both, the knowledge about the code of previous releases as well as the bug history of the particular project can be used to evaluate the software reliability of a new software release based on SRGM. In this work a framework to predict the number of the bugs of a new release, as well as other reliability parameters, is proposed. An exemplary implementation of this framework to two particular open source projects, is described in detail. The difference between the prediction accuracy of the two projects is presented. Different alternatives to increase the prediction accuracy are proposed and compared in this paper. |
| title | Predicting Software Reliability in Softwarized Networks |
| topic | Software Engineering Networking and Internet Architecture |
| url | https://arxiv.org/abs/2407.21224 |