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Revisiting Software Reliability

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Data Management, Analytics and Innovation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 808))

Abstract

Reliability is an important issue for deciding the quality of the software. Reliability prediction is a statistical procedure that purpose to expect the future reliability values, based on known information during development processes. It is considered as a basic function of software development. A review-based research has been done in this work to evaluate the previously established methodologies for reliability prediction. In this paper, authors give a critical review related to successful research of reliability prediction. This paper also provides many challenges and keys of reliability estimation during software development process. Further, this paper gives a precarious discussion on previous work and identified factors which are important for reliability of software but still ignored. This work helps to developers for predicting the reliability of software with minimum risks.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Dr. Shakuntala Misra National Rehabilitation University, Lucknow, Uttar Pradesh, India

    Kavita Sahu & R. K. Srivastava

Authors
  1. Kavita Sahu
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  2. R. K. Srivastava
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Corresponding author

Correspondence to Kavita Sahu .

Editor information

Editors and Affiliations

  1. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. Audyogik Tantra Shikshan Sanstha’s, IICMR, Pune, Maharashtra, India

    Neha Sharma

  3. Faculty of Engineering and Technology, A. K. Choudhury School of Information Technology, Kolkata, West Bengal, India

    Amlan Chakrabarti

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Sahu, K., Srivastava, R.K. (2019). Revisiting Software Reliability. In: Balas, V., Sharma, N., Chakrabarti, A. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-13-1402-5_17

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  • DOI: https://doi.org/10.1007/978-981-13-1402-5_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1401-8

  • Online ISBN: 978-981-13-1402-5

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