Abstract
Adaptive systems are able to modify their behaviors to respond to significant changes at run time such as component failures. In many cases, run-time adaptation is simply replacing a piece of system with a new one without interrupting the system operation. In terms of component-based systems, an adaptation may be defined as replacing a system component with a new version at run time. However, updating a system with new components requires the assurance that the new configuration will fully satisfy the expected requirements. Formal verification has been widely used to guarantee that a system specification satisfies a set of properties. However, applying verification techniques at run time for any potential change can be very expensive and sometimes unfeasible. In this paper, we present a methodology, called LOVER, for the lightweight verification of component-based adaptive systems. LOVER provides a new process model supported with formalisms, verification algorithms and tool to verify a significant subset of CTL properties.
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References
Smart Grids European Technology Platform, http://www.smartgrids.eu/
Adler, R., Schaefer, I., Schuele, T., Vecchié, E.: From Model-Based Design to Formal Verification of Adaptive Embedded Systems. In: Butler, M., Hinchey, M.G., Larrondo-Petrie, M.M. (eds.) ICFEM 2007. LNCS, vol. 4789, pp. 76–95. Springer, Heidelberg (2007)
Baier, C., Katoen, J.-P.: Principles of Model Checking (Representation and Mind Series). The MIT Press (2008)
Cheng, B.H.C., de Lemos, R., Giese, H., Inverardi, P., Magee, J. (eds.): Software Engineering for Self-Adaptive Systems. LNCS, vol. 5525. Springer, Heidelberg (2009)
Cimatti, A., Clarke, E., Giunchiglia, E., Giunchiglia, F., Pistore, M., Roveri, M., Sebastiani, R., Tacchella, A.: NuSMV 2: An OpenSource Tool for Symbolic Model Checking. In: Brinksma, E., Larsen, K.G. (eds.) CAV 2002. LNCS, vol. 2404, pp. 359–364. Springer, Heidelberg (2002)
Cobleigh, J.M., Giannakopoulou, D., Păsăreanu, C.S.: Learning Assumptions for Compositional Verification. In: Garavel, H., Hatcliff, J. (eds.) TACAS 2003. LNCS, vol. 2619, pp. 331–346. Springer, Heidelberg (2003)
Falcone, Y., Jaber, M., Nguyen, T.-H., Bozga, M., Bensalem, S.: Runtime Verification of Component-Based Systems. In: Barthe, G., Pardo, A., Schneider, G. (eds.) SEFM 2011. LNCS, vol. 7041, pp. 204–220. Springer, Heidelberg (2011)
Ghezzi, C.: Engineering evolving and self-adaptive systems: An overview. In: Software and Systems Safety - Specification and Verification, pp. 88–102 (2011)
Giannakopoulou, D., Păsăreanu, C.S., Barringer, H.: Assumption generation for software component verification. In: Proceedings of the 17th IEEE International Conference on Automated Software Engineering, ASE 2002 (2002)
Gold, N., Mohan, A., Knight, C., Munro, M.: Understanding service-oriented software. IEEE Software 21(2), 71–77 (2004)
Leucker, M., Schallhart, C.: A brief account of runtime verification. Journal of Logic and Algebraic Programming 78(5), 293–303 (2009)
Levis, P., Gay, D., Culler, D.: Active Sensor Networks. In: Proc. of the 2nd Symposium on Networked Systems Design & Implementation, vol. 2, pp. 343–356. USENIX Association (2005)
Pasareanu, C.S., Dwyer, M.B., Huth, M.: Assume-guarantee model checking of software: A comparative case study. In: Proceedings of the 5th and 6th International SPIN Workshops on Theoretical and Practical Aspects of SPIN Model Checking, pp. 168–183 (1999)
Roşu, G., Havelund, K.: Rewriting-based techniques for runtime verification. Automated Software Engg. 12(2), 151–197 (2005)
Schaefer, I., Poetzsch-Heffter, A.: Model-based verification of adaptive embedded systems under environment constraints. SIGBED 6(3), 9:1–9:4 (2009)
Schneider, K., Schuele, T., Trapp, M.: Verifying the adaptation behavior of embedded systems. In: SEAMS 2006, pp. 16–22 (2006)
Xie, G., Dang, Z.: Ctl model-checking for systems with unspecified finite state components. In: SAVCBS (2004)
Xie, G., Dang, Z.: An Automata-Theoretic Approach for Model-Checking Systems with Unspecified Components. In: Grabowski, J., Nielsen, B. (eds.) FATES 2004. LNCS, vol. 3395, pp. 155–169. Springer, Heidelberg (2005)
Zhang, J., Cheng, B.H.C.: Model-based development of dynamically adaptive software. In: ICSE 2006, pp. 371–380. ACM, New York (2006)
Zhang, J., Cheng, B.H.C.: Using temporal logic to specify adaptive program semantics. Journal of Systems and Software 79(10), 1361–1369 (2006)
Zhang, J., Goldsby, H.J., Cheng, B.H.C.: Modular verification of dynamically adaptive systems. In: AOSD 2009, pp. 161–172. ACM, New York (2009)
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Sharifloo, A.M., Spoletini, P. (2013). LOVER: Light-Weight fOrmal Verification of adaptivE Systems at Run Time. In: Păsăreanu, C.S., Salaün, G. (eds) Formal Aspects of Component Software. FACS 2012. Lecture Notes in Computer Science, vol 7684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35861-6_11
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DOI: https://doi.org/10.1007/978-3-642-35861-6_11
Publisher Name: Springer, Berlin, Heidelberg
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