Skip to main content
SpringerLink
Log in

A Novel Safety Metric SMEP for Performance Distribution Analysis in Software System

  • Chapter
  • First Online:
Strategic Engineering for Cloud Computing and Big Data Analytics

Abstract

Focusing on safety attributes becomes an essential practice towards the safety critical software system (SCSS) development. The system should be error free for a perfect decision-making and subsequent operations. This paper presents an analysis on error propagation in the modules through a novel safety metric known as SMEP, which can be characterized depending on the performance rate of the working module. We propose a framework for the analysis of occurrence of error in various modules and the intensity of it is quantified through probabilistic model and universal generating function technique.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sundararajan, A., & Selvarani, R. (2012). Case study of failure analysis techniques for safety critical systems. In Advances in Computer Science, Engineering & Applications (pp. 367–377). Heidelberg: Springer.

    Google Scholar 

  2. Cortellessa, V., & Grassi V. (2007). A modeling approach to analyze the impact of error propagation on reliability of component-based systems. In International Symposium on Component-Based Software Engineering. Heidelberg: Springer.

    Google Scholar 

  3. Levitin, G. (2008). A universal generating function in the analysis of multi-state systems. In Handbook of performability engineering (pp. 447–464). London: Springer.

    Google Scholar 

  4. Avizienis, A., et al. (2004). Basic concepts and taxonomy of dependable and secure computing. IEEE Transactions on Dependable and Secure Computing 1.1, 11–33.

    Google Scholar 

  5. Morozov, A., & Janschek, K. (2014). Probabilistic error propagation model for mechatronic systems. Mechatronics, 24(8), 1189–1202.

    Article  Google Scholar 

  6. Eberhart, R. C., & Shi, Y. (2007). Chapter nine—Computational intelligence implementations. In Computational intelligence (pp. 373–388). Burlington: Morgan Kaufmann. ISBN 9781558607590.

    Google Scholar 

  7. IEC 61508. (2005). Functional Safety of Electrical/Electronic/Programmable Electronic Safety-related Systems. International Electro technical Commission (IEC 61508).

    Google Scholar 

  8. Levitin, G. (2007). Block diagram method for analyzing multi-state systems with uncovered failures. Reliability Engineering & System Safety, 92(6), 727–734.

    Article  Google Scholar 

  9. Levitin, G., & Xing, L. (2010). Reliability and performance of multi-state systems with propagated failures having selective effect. Reliability Engineering & System Safety, 95(6), 655–661.

    Article  Google Scholar 

  10. Feiler, P. H., Goodenough, J. B., Gurfinkel, A., Weinstock, C. B., Wrage, L. (2012). Reliability validation and improvement framework. Carnegie-Mellon Univ Pittsburgh Pa Software Engineering Inst.

    Google Scholar 

  11. Popic, P., et al. (2005). Error propagation in the reliability analysis of component based systems. In 16th IEEE International Symposium on Software Reliability Engineering (ISSRE’05). IEEE.

    Google Scholar 

  12. Hiller, M., Jhumka, A., & Suri, N. (2001). An approach for analysing the propagation of data errors in software. In International Conference on Dependable Systems and Networks, 2001, DSN 2001. IEEE.

    Google Scholar 

  13. Mohamed, A., & Zulkernine M. (2010). Failure type-aware reliability assessment with component failure dependency. In 2010 Fourth International Conference on Secure Software Integration and Reliability Improvement (SSIRI). IEEE.

    Google Scholar 

  14. Vinisha, F. A., & Selvarani, R. (2012). Study of architectural design patterns in concurrence with analysis of design pattern in safety critical systems. In Advances in Computer Science, Engineering & Applications (pp. 393–402). Heidelberg: Springer.

    Google Scholar 

  15. Ushakov, I. A. (1986). A universal generating function. Soviet Journal of Computer and Systems Sciences, 24(5), 118–129.

    MathSciNet  MATH  Google Scholar 

  16. Levitin, G., & Lisnianski, A. (2003). Multi-state system reliability: Assessment, optimization and applications.

    Google Scholar 

  17. Levitin, G. (2005). The universal generating function in reliability analysis and optimization. London: Springer.

    Google Scholar 

  18. Levitin, G., Zhang, T., & Xie, M. (2006). State probability of a series-parallel repairable system with two-types of failure states. International Journal of Systems Science, 37(14), 1011–1020.

    Article  MathSciNet  MATH  Google Scholar 

  19. Sarshar, S. (2011). Analysis of Error Propagation Between Software Processes. Nuclear Power-System Simulations and Operation, 69.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science and Engineering, Alliance University, Banglore, India

    R. Selvarani

  2. Information Science and Engineering, PESIT-BSC, Banglore, India

    R. Bharathi

Authors
  1. R. Selvarani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. Bharathi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to R. Bharathi .

Editor information

Editors and Affiliations

  1. School of Computing, Creative Technologies and Engineering, Leeds Beckett University, Leeds, United Kingdom

    Amin Hosseinian-Far

  2. School of Computing, Creative Technologies and Engineering, Leeds Beckett University, Leeds, United Kingdom

    Muthu Ramachandran

  3. School of Computing, Creative Technologies and Engineering, Leeds Beckett University, Leeds, United Kingdom

    Dilshad Sarwar

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Selvarani, R., Bharathi, R. (2017). A Novel Safety Metric SMEP for Performance Distribution Analysis in Software System. In: Hosseinian-Far, A., Ramachandran, M., Sarwar, D. (eds) Strategic Engineering for Cloud Computing and Big Data Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-52491-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52491-7_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52490-0

  • Online ISBN: 978-3-319-52491-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation