A Comparison of the Reliability Growth of Open Source and In-House Software

Syed-Mohamad, Sharifah Mashita; McBride, Tom

doi:10.1109/apsec.2008.20

Cited by 5 publications

(5 citation statements)

References 25 publications

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“…Evaluation of decision outcomes for CSOs: As input to the decision making, the knowledge of how a choice influences the criteria is important. Consequently, a number of studies [1,2,19,20,21,22,23,3,24,4] elaborate on the effect of the choices. For example, with regard to contextual factors Conradi et al [1] highlight the benefits of COTS over OSS with regard to the market and vendor and community support.…”

Section: Choosing Among Csosmentioning

confidence: 99%

“…When comparing in-house development with OSS, Norris [3] indicates that OSS is preferred over in-house developed software. Regarding project metrics, Sharifah and McBride [4] account for possible time savings.…”

Section: Choosing Among Csosmentioning

confidence: 99%

“…The component sourcing option decision is of strategic nature and has implications for properties (such as performance, reliability, and security) [1,2,3]. Beyond that, it has implications on lead-time, cost and effort [1,2], the level of control over the evolution of a component [4], or the effect on the development lifecycle (such as how to test the system).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing?—A Case Survey

Petersen

Badampudi

Shah

et al. 2018

IIEEE Trans. Software Eng.

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Section: Choosing Among Csosmentioning

confidence: 99%

Section: Choosing Among Csosmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing?—A Case Survey

Petersen

Badampudi

Shah

et al. 2018

IIEEE Trans. Software Eng.

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show abstract

“…Tamura and Yamada [20] used neural networks to build OSS reliability model and gave an optimal software release method. Syed-Mohamad and Mcbride [21] indicate that the testing and development process of each OSS is different, and the reliability model can be established according to the specific situation. Tamura and Yamada [22] developed an OSS reliability model using the deterministic chaos theory.…”

Section: Related Workmentioning

confidence: 99%

Reliability model of open source software considering fault introduction with generalized inflection S-shaped distribution

Wang

Zhang

2022

SN Appl. Sci.

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Recently, the open source software (OSS) reliability has become one of hot issues. Owing to the uncertainty and complexity of OSS development, testing and debugging environments, OSS are completed dynamically. When detected faults are removed for OSS, they are likely to introduce new faults. Moreover, under the different OSS debugging environments, fault introduction will show different changes. For example, the fault introduction rate shows a decrease change, or increasing first and then decreasing change over time. Considering the complex and dynamic changes in fault introduction, an OSS reliability model that fault introduction obeys a generalized inflection S-shaped distribution is proposed in this paper. Experimental results indicate that the fitting and predictive performance of the proposed model is good. The established model in this paper can adapt the dynamical and complicated changes of fault introduction during OSS debugging. Moreover, the established model can accurately forecast the number of remaining faults in OSS, and assist developers to evaluate the actual OSS reliability.

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“…Syed-Mohamad and McBride [13] in their study find out that OSS quality varies because it is mainly dependent on "community usage and defect reporting". They find out that the reliability growth profile of OSS is different from that of proprietary software as rapid changes in code structure are made by developers in frequently released versions of their projects.…”

Section: Open Source Quality Issues -In Generalmentioning

confidence: 99%