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A Reliability Prediction Method for Abstract State Machines

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Abstract State Machines, Alloy, B, VDM, and Z (ABZ 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7316))

Abstract

According to the vision of Design for Reliability, software reliability has to be considered in all the activities within the software development life cycle. In particular, writing formal specifications, like other activities in software development, is error-prone, especially for large-scale systems. This paper presents a reliability prediction method for Abstract State Machines specifications. The method considers the internal structure of an ASM by computing its reliability based on the reliabilities calculated inductively along the call tree of the ASM rules and the structure of the rule bodies.

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References

  1. Abdelmoez, W., Nassar, D.M., Shereshevsky, M., Gradetsky, N., Gunnalan, R., Ammar, H.H., Yu, B., Mili, A.: Error Propagation In Software Architectures. In: IEEE International Symposium on Software Metrics, pp. 384–393 (2004)

    Google Scholar 

  2. Arcaini, P., Gargantini, A., Riccobene, E.: Automatic review of Abstract State Machines by meta-property verification. In: Proc. of NASA Formal Methods Symposium (2010)

    Google Scholar 

  3. The ASMETA toolset website (2006), http://asmeta.sf.net/

  4. Börger, E., Stärk, R.: Abstract State Machines: A Method for High-Level System Design and Analysis. Springer (2003)

    Google Scholar 

  5. Immonen, A., Niemelä, E.: Survey of reliability and availability prediction methods from the viewpoint of software architecture. Software and System Modeling 7(1), 49–65 (2008)

    Article  Google Scholar 

  6. Liu, S., Tamai, T., Nakajima, S.: A framework for integrating formal specification, review, and testing to enhance software reliability. International Journal of Software Engineering and Knowledge Engineering 21(2), 259–288 (2011)

    Article  Google Scholar 

  7. Musa, J.: Operational profiles in software-reliability engineering. IEEE Software 10(2), 14–32 (1993)

    Article  Google Scholar 

  8. Ouimet, M., Lundqvist, K.: The TASM Toolset: Specification, Simulation, and Formal Verification of Real-Time Systems. In: Damm, W., Hermanns, H. (eds.) CAV 2007. LNCS, vol. 4590, pp. 126–130. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  9. Yacoub, S., Cukic, B., Ammar, H.: Scenario-based reliability analysis of component-based software. In: Proc. of 10th International Symposium on Software Reliability Engineering, pp. 22–31 (1999)

    Google Scholar 

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Author information

Authors and Affiliations

  1. DEI, Politecnico di Milano, Milano, Italy

    Raffaela Mirandola

  2. DIIMM, Università degli Studi di Bergamo, Dalmine, BG, Italy

    Pasqualina Potena & Patrizia Scandurra

Authors
  1. Raffaela Mirandola
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  2. Pasqualina Potena
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  3. Patrizia Scandurra
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, S1 4DP, Sheffield, UK

    John Derrick

  2. Newcastle University, UK

    John Fitzgerald

  3. Consiglio Nazionale delle Ricerche, Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Via Moruzzi 1, 56124, Pisa, Italy

    Stefania Gnesi

  4. Electrical and Computer Engineering, The University of Texas at Austin, 1 University Station C5000, 78712-0240, Austin, TX, USA

    Sarfraz Khurshid

  5. Heinrich-Heine-University of Düsseldorf, Germany

    Michael Leuschel

  6. Department of Computer Science, The University of Waikato, 3240, Hamilton, New Zealand

    Steve Reeves

  7. Department of Information Technology, Università degli Studi di Milano, via Bramante 65, 26013, Crema, Italy

    Elvinia Riccobene

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© 2012 Springer-Verlag Berlin Heidelberg

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Mirandola, R., Potena, P., Scandurra, P. (2012). A Reliability Prediction Method for Abstract State Machines. In: Derrick, J., et al. Abstract State Machines, Alloy, B, VDM, and Z. ABZ 2012. Lecture Notes in Computer Science, vol 7316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30885-7_26

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  • DOI: https://doi.org/10.1007/978-3-642-30885-7_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30884-0

  • Online ISBN: 978-3-642-30885-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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