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Hidden Markov Model Approach for Software Reliability Estimation with Logic Error

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Abstract

To ensure the safe operation of any software controlled critical systems, quality factors like reliability and safety are given utmost importance. In this paper, we have chosen to analyze the impact of logic error that is one of the contributors to the above factors. In view of this, we propose a novel framework based on a data driven approach known as software failure estimation with logic error (SFELE). Here, the probabilistic nature of software error is explored by observing the operation of a safety critical system by injecting logic fault. The occurrence of error, its propagations and transformations are analyzed from its inception to end of its execution cycle through the hidden Markov model (HMM) technique. We found that the proposed framework SFELE supports in labeling and quantifying the behavioral properties of selected errors in a safety critical system while traversing across its system components in addition to reliability estimation of the system. Our attempt at the design level can help the design engineers to improve their system quality in a cost-effective manner.

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Authors and Affiliations

  1. Department of Computer Science, PES University, Bangalore, 560100, India

    R. Bharathi

  2. Research scholar, Visvesvaraya Technological University, Belagavi, 590018, India

    R. Bharathi

  3. Department of Computer Science, Alliance University, Bangalore, 562106, India

    R. Selvarani

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Correspondence to R. Bharathi.

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Recommended by Associate Editor Xun Chen

R. Bharathi received the M.E. degree in computer science and engineering from Bharathiar University, India in 2001. She has a progressive teaching experience of 20 years and currently working as a faculty at PES University, Electronic City Campus, India and research scholar at Vis-veswaraya Technological University, Belagavi, India.

Her research interests include safety critical software systems, machine learning, computational intelligence, and software design quality estimation.

R. Selvarani received the Ph.D. degree from Jawaharlal Nehru Technological University, India in 2009. She is currently working as a professor having a progressive teaching experience of 28 years and program director for doctoral program at Alliance College of Engineering and Design, Alliance University, India. She has a patent in software architecture and design domain. Her publication in Information and Software Technology was selected in terms of having “the best content” in the area of Information Technology for the year 2012 by VERTICAL NEWS, USA. She is carrying out collaborative research with Leeds Metropolitan University, UK and her name is listed in Who’s Who for Science and Technology, USA.

Her research interests include machine learning, Internet of things software design quality estimation, service oriented cloud applications, software safety critical systems, and QoS in distributed networks.

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Bharathi, R., Selvarani, R. Hidden Markov Model Approach for Software Reliability Estimation with Logic Error. Int. J. Autom. Comput. 17, 305–320 (2020). https://doi.org/10.1007/s11633-019-1214-7

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