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User Growth-Based Reliability Assessment of OSS During the Operational Phase Considering FRF and Imperfect Debugging

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Advances in Interdisciplinary Research in Engineering and Business Management

Part of the book series: Asset Analytics ((ASAN))

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Abstract

OSS development is remarkably different from paradigms of conventional software engineering. Although reliability modelling is an area of research since 1970s but reliability analysis for OSS is relatively recent. This paper tries to establish the reliability growth phenomenon for such software in terms of its usage in operational environment. This study further investigates the variation between number of faults detected and corrected as Fault Reduction Factor (FRF) and thus justifies its importance in reliability modelling under imperfect debugging. Three different trends of FRF are discussed in terms of number of users adopting the software with time. The proposed NHPP models for OSS are tested on two real-world fault datasets, namely, GNOME 2.0 and Firefox 3.0 and it is empirically deduced that the model precisely describes the failure process for OSS and thus can be adopted and further extended for reliability characterization.

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Authors and Affiliations

  1. Department of Operational Research, University of Delhi, Delhi, India

    Vibha Verma & Anu G. Aggarwal

  2. Department of Computer Science, Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India

    Sameer Anand

Authors
  1. Vibha Verma
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  2. Sameer Anand
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  3. Anu G. Aggarwal
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Correspondence to Vibha Verma .

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Editors and Affiliations

  1. Amity Center for Interdisciplinary Research, Amity University, Noida, Uttar Pradesh, India

    P. K. Kapur

  2. Group VC Amity International Business School, Amity University, Noida, Uttar Pradesh, India

    Gurinder Singh

  3. Department of Operational Research, University of Delhi, New Delhi, Delhi, India

    Saurabh Panwar

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Verma, V., Anand, S., Aggarwal, A.G. (2021). User Growth-Based Reliability Assessment of OSS During the Operational Phase Considering FRF and Imperfect Debugging. In: Kapur, P.K., Singh, G., Panwar, S. (eds) Advances in Interdisciplinary Research in Engineering and Business Management. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-16-0037-1_23

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