research-article

A Reliability Automatic Assessment Framework of Open Source Software Based on JIRA

Authors:

Qian Wang,

Wei Zhang,

Jianhui Jiang,

Long LiAuthors Info & Claims

ICSCA '20: Proceedings of the 2020 9th International Conference on Software and Computer Applications

Pages 188 - 193

https://doi.org/10.1145/3384544.3384554

Published: 17 April 2020 Publication History

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Abstract

In recent years, more and more companies have moved from closed source software development to open source software (OSS) development. The reliability assessment of OSS has become an important issue. However, due to the lack of a standardized development process and uncertain number of participating developers, it is hard to measure the reliability of OSS compared to closed source software. This paper proposes a framework for reliability automatic assessment of OSS based on JIRA. It contains the failure data acquisition module, the reliability modeling module, and the reliability attribute analysis module. The proposed framework is applied on popular OSS Kafka to assess its reliability. The experimental results are compared with previous work related to OSS reliability assessment and show that the proposed framework is good for the reliability assessment of OSS.

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Yılmaz NKolukısa Tarhan A(2022)Quality evaluation models or frameworks for open source software: A systematic literature reviewJournal of Software: Evolution and Process10.1002/smr.245834:6Online publication date: 30-Apr-2022
https://doi.org/10.1002/smr.2458
Umm-e-Laila FNajeed Ahmed Khan SAsad Arfeen T(2021)Framework for Identification of Critical Factors for Open Source Software Adoption Decision in Mission-Critical IT Infrastructure ServicesIETE Journal of Research10.1080/03772063.2021.199403669:2(635-648)Online publication date: 31-Oct-2021
https://doi.org/10.1080/03772063.2021.1994036
Wang J(2021)Open source software reliability model with nonlinear fault detection and fault introductionJournal of Software: Evolution and Process10.1002/smr.238533:12Online publication date: 2-Dec-2021
https://dl.acm.org/doi/10.1002/smr.2385

Index Terms

A Reliability Automatic Assessment Framework of Open Source Software Based on JIRA
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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ICSCA '20: Proceedings of the 2020 9th International Conference on Software and Computer Applications

February 2020

382 pages

ISBN:9781450376655

DOI:10.1145/3384544

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 April 2020

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Huawei Technologies

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ICSCA 2020

ICSCA 2020: 2020 9th International Conference on Software and Computer Applications

February 18 - 21, 2020

Langkawi, Malaysia

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Yılmaz NKolukısa Tarhan A(2022)Quality evaluation models or frameworks for open source software: A systematic literature reviewJournal of Software: Evolution and Process10.1002/smr.245834:6Online publication date: 30-Apr-2022
https://doi.org/10.1002/smr.2458
Umm-e-Laila FNajeed Ahmed Khan SAsad Arfeen T(2021)Framework for Identification of Critical Factors for Open Source Software Adoption Decision in Mission-Critical IT Infrastructure ServicesIETE Journal of Research10.1080/03772063.2021.199403669:2(635-648)Online publication date: 31-Oct-2021
https://doi.org/10.1080/03772063.2021.1994036
Wang J(2021)Open source software reliability model with nonlinear fault detection and fault introductionJournal of Software: Evolution and Process10.1002/smr.238533:12Online publication date: 2-Dec-2021
https://dl.acm.org/doi/10.1002/smr.2385

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Open Source Developer Layer Assessment: Open Onion

Licenses of Open Source Software and their Economic Values

Microsoft, Open Source and the software ecosystem: of predators and prey—the leopard can change its spots

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