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Software quality measurement and improvement for real-time systems using quality tools and techniques: a case study

Author

Listed:
  • R. Amuthakkannan
  • S.M. Kannan
  • V. Selladurai
  • K. Vijayalakshmi

Abstract

In industrial applications, a number of real-time systems is used with advanced technologies. A real-time system consists of software and hardware components. In these types of systems, real-time software quality has a continuously increasing impact on system quality. If the software quality is poor, the total system performance will result in serious injury to the system or significant property damage. Therefore, associated software quality measurement and improvement is an essential issue in the construction of new generation real-time systems. In this paper, after developing the real-time software, it is tested using different testing methods to predict the defects and performance. Then the root causes for the problems are identified according to the results and the opinion of the experts. Using the various quality control tools and techniques, the real-time software is improved to enhance the quality of the software. So, a systematic approach is proposed to improve the quality of real-time software in a case study of software-based internal combustion engine performance analyser by identifying the defects in software product and improving the development processes.

Suggested Citation

  • R. Amuthakkannan & S.M. Kannan & V. Selladurai & K. Vijayalakshmi, 2008. "Software quality measurement and improvement for real-time systems using quality tools and techniques: a case study," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 3(2), pages 229-256.
    • Handle: RePEc:ids:ijisen:v:3:y:2008:i:2:p:229-256
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    Cited by:

    1. Dilbagh Panchal & Priyank Srivastava, 2019. "Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 44-56, February.
    2. Priyank Srivastava & Dinesh Khanduja & Subramaniam Ganesan, 2020. "Fuzzy methodology application for risk analysis of mechanical system in process industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 297-312, April.

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