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Pattern analysis of phase wise occurrence, severity and detection of failures in real time embedded projects

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  • Samitha Khaiyum
  • Y.S. Kumaraswamy
  • K. Karibasappa

Abstract

Software engineering aims to ensure quality management to reduce cost of failures. The quality management system brings together functions, objectives and activities that maintain quality. Despite these strategies, failures do occur. A failure can be viewed as conceptual, technological and organisational failures. In order to reduce the chance of failure, it is necessary to identify the type of failure and its occurrence, detection and severity pattern. This paper presents a case-study of real time embedded projects, developed in CMMI level 4 and 5 software industries. The aim of this work is to emphasis upon different types of failures occurrence pattern, its severity and detection level to predict during software development process in real time embedded system projects enabling one to monitor, control and manage project failures. Areas which need attention to increase quality and productivity of the project are identified to improve customer satisfaction and survivability in the market.

Suggested Citation

  • Samitha Khaiyum & Y.S. Kumaraswamy & K. Karibasappa, 2016. "Pattern analysis of phase wise occurrence, severity and detection of failures in real time embedded projects," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 17(1), pages 36-60.
    • Handle: RePEc:ids:ijpqma:v:17:y:2016:i:1:p:36-60
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    References listed on IDEAS

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    1. Souraj Salah & Juan A. Carretero & Abdur Rahim, 2010. "The integration of quality management and continuous improvement methodologies with management systems," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 6(3), pages 269-288.
    2. T.R. Gopalakrishnan Nair & V. Suma, 2012. "Quality enhancement by implementation of depth of inspection metric and inspection performance metric in software industry," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 9(2), pages 137-157.
    3. V. Suma & T.R. Gopalakrishnan Nair, 2010. "Better defect detection and prevention through improved inspection and testing approach in small and medium scale software industry," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 6(1), pages 71-90.
    4. C. Krishnaraj & K.M. Mohanasundram & S.R. Devadasan & N.M. Sivaram, 2012. "Total failure mode and effect analysis: a powerful technique for overcoming failures," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 10(2), pages 131-147.
    5. Faisal Talib & Zillur Rahman, 2010. "Studying the impact of total quality management in service industries," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 6(2), pages 249-268.
    6. Koay Li Li & Suhaiza Zailani & Yudi Fernando, 2010. "The impact of organisational variables and quality performance on customer satisfaction," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 6(3), pages 354-378.
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    Cited by:

    1. Yuan-Jian Yang & Ya-Lan Xiong & Xin-Yin Zhang & Gui-Hua Wang & Bihai Zou, 2022. "Reliability analysis of continuous emission monitoring system with common cause failure based on fuzzy FMECA and Bayesian networks," Annals of Operations Research, Springer, vol. 311(1), pages 451-467, April.

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