Abstract
The feature interaction problem occurs when two or more features interact and possibly conflict with each other in unexpected ways, resulting in undesirable system behaviors. Common approaches to resolving feature interactions are based on priorities, which are ineffective in scenarios where the set of features may evolve past the design phase, and where desirability of features may change dynamically depending on the state of the environment. This paper introduces a property-driven approach to feature-interaction resolution, where a desired system property is leveraged to determine which feature action should be enabled at a given context. Compared to existing approaches, our approach is capable of (1) providing resolutions even if the system evolves with new or modified features, and (2) handling complex resolution scenarios where the preference of one feature over the others may change dynamically. We demonstrate the effectiveness of our approach through a case study involving resolution of safety-critical features in an intelligent vehicle.
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Notes
- 1.
To match the syntax of STL, the inequalities can be rewritten to the form \(f(\mathbf s (t)) > 0\).
References
Arechiga, N., Dathathri, S., Vernekar, S., Kathare, N., Gao, S., Shiraishi, S.: Osiris: a tool for abstraction and verification of control software with lookup tables. In: Proceedings of the 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, SCAV@CPSWeek 2017, Pittsburgh, PA, USA, 21 April 2017, pp. 11–18 (2017)
Bocovich, C., Atlee, J.M.: Variable-specific resolutions for feature interactions. In: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, 16–22 November 2014, pp. 553–563 (2014)
Calder, M., Kolberg, M., Magill, E.H., Reiff-Marganiec, S.: Feature interaction: a critical review and considered forecast. Comput. Netw. 41(1), 115–141 (2003)
Chavan, A., Yang, L., Ramachandran, K., Leung, W.H.: Resolving feature interaction with precedence lists in the feature language extensions. In: Feature Interactions in Software and Communication Systems IX, International Conference on Feature Interactions in Software and Communication Systems, ICFI 2007, Grenoble, France, 3–5 September 2007, pp. 114–128 (2007)
Chen, Y., Lafortune, S., Lin, F.: Resolving feature interactions using modular supervisory control with priorities. In: Feature Interactions in Telecommunications Networks IV, Montréal, Canada, 17–19 June 1997, pp. 108–122 (1997)
Deshmukh, J.V., Donzé, A., Ghosh, S., Jin, X., Juniwal, G., Seshia, S.A.: Robust online monitoring of signal temporal logic. Formal Methods Syst. Des. 51(1), 5–30 (2017)
Dokhanchi, A., Hoxha, B., Fainekos, G.: On-line monitoring for temporal logic robustness. In: Bonakdarpour, B., Smolka, S.A. (eds.) RV 2014. LNCS, vol. 8734, pp. 231–246. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11164-3_19
Dominguez, A.L.J., Day, N.A., Joyce, J.J.: Modelling feature interactions in the automotive domain. In: International Workshop on Modeling in Software Engineering (MiSE), pp. 45–50 (2008)
Donzé, A., Ferrère, T., Maler, O.: Efficient robust monitoring for STL. In: Sharygina, N., Veith, H. (eds.) CAV 2013. LNCS, vol. 8044, pp. 264–279. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39799-8_19
Donzé, A., Maler, O.: Robust satisfaction of temporal logic over real-valued signals. In: Chatterjee, K., Henzinger, T.A. (eds.) FORMATS 2010. LNCS, vol. 6246, pp. 92–106. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15297-9_9
Fainekos, G.E., Pappas, G.J.: Robustness of temporal logic specifications. In: Havelund, K., Núñez, M., Roşu, G., Wolff, B. (eds.) FATES/RV -2006. LNCS, vol. 4262, pp. 178–192. Springer, Heidelberg (2006). https://doi.org/10.1007/11940197_12
Griffeth, N.D., Velthuijsen, H.: The negotiating agents approach to runtime feature interaction resolution. In: Feature Interactions in Telecommunications Systems, Amsterdam, The Netherlands, 8–10 May 1994, pp. 217–235 (1994)
Hay, J.D., Atlee, J.M.: Composing features and resolving interactions. In: ACM SIGSOFT Symposium on Foundations of Software Engineering, Proceedings, San Diego, California, USA, 6–10 November 2000, pp. 110–119 (2000)
Li, J., Nuzzo, P., Sangiovanni-Vincentelli, A.L., Xi, Y., Li, D.: Stochastic contracts for cyber-physical system design under probabilistic requirements. In: Proceedings of the 15th ACM-IEEE International Conference on Formal Methods and Models for System Design, MEMOCODE 2017, Vienna, Austria, 29 September–02 October 2017, pp. 5–14 (2017)
Maler, O., Nickovic, D.: Monitoring temporal properties of continuous signals. Formal Techniques. Modelling and Analysis of Timed and Fault-Tolerant Systems, pp. 152–166. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-30206-3_12
Metzger, A.: Feature interactions in embedded control systems. Comput. Netw. 45(5), 625–644 (2004)
Nakamura, M., Igaki, H., Yoshimura, Y., Ikegami, K.: Considering online feature interaction detection and resolution for integrated services in home network system. In: ICFI, pp. 191–206. IOS Press (2009)
Parnas, D.L., Madey, J.: Functional documents for computer systems. Sci. Comput. Program. 25(1), 41–61 (1995)
Pinisetty, S., Roop, P.S., Smyth, S., Tripakis, S., von Hanxleden, R.: Runtime enforcement of reactive systems using synchronous enforcers. In: Proceedings of the 24th ACM SIGSOFT International SPIN Symposium on Model Checking of Software, Santa Barbara, CA, USA, 10–14 July 2017, pp. 80–89 (2017)
Pnueli, A.: The temporal logic of programs. In: Symposium on Foundations of Computer Science, SFCS 1977, pp. 46–57 (1977)
Ross, S., Pineau, J., Paquet, S., Chaib-draa, B.: Online planning algorithms for POMDPs. J. Artif. Intell. Res. 32, 663–704 (2008)
Seuken, S., Zilberstein, S.: Formal models and algorithms for decentralized decision making under uncertainty. Auton. Agent. Multi-Agent Syst. 17(2), 190–250 (2008)
Sundström, C., Frisk, E., Nielsen, L.: Diagnostic method combining the lookup tables and fault models applied on a hybrid electric vehicle. IEEE Trans. Control Syst. Technol. 24(3), 1109–1117 (2016)
Tsang, S., Magill, E.H.: The network operator’s perspective: detecting and resolving feature interaction problems. Comput. Netw. 30(15), 1421–1441 (1998)
Wu, M., Zeng, H., Wang, C., Yu, H.: Safety guard: runtime enforcement for safety-critical cyber-physical systems: invited. In: Proceedings of the 54th Annual Design Automation Conference, DAC 2017, Austin, TX, USA, June 18–22 2017, pp. 84:1–84:6 (2017)
Yarosh, L., Zave, P.: Locked or not?: Mental models of IoT feature interaction. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, CO, USA, 06–11 May 2017, pp. 2993–2997 (2017)
Zibaeenejad, M.H., Zhang, C., Atlee, J.M.: Continuous variable-specific resolutions of feature interactions. In: Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, ESEC/FSE 2017, Paderborn, Germany, 4–8 September 2017, pp. 408–418 (2017)
Zimmer, P.A., Atlee, J.M.: Ordering features by category. J. Syst. Softw. 85(8), 1782–1800 (2012). https://doi.org/10.1016/j.jss.2012.03.025
Zurbriggen, F., Ott, T., Onder, C.H.: Fast and robust adaptation of lookup tables in internal combustion engines: feedback and feedforward controllers designed independently. Proc. Inst. Mech. Eng. Part D: J. Automob. Eng. 230(6), 723–735 (2016)
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Raghavan, S.G., Watanabe, K., Kang, E., Lin, CW., Jiang, Z., Shiraishi, S. (2018). Property-Driven Runtime Resolution of Feature Interactions. In: Colombo, C., Leucker, M. (eds) Runtime Verification. RV 2018. Lecture Notes in Computer Science(), vol 11237. Springer, Cham. https://doi.org/10.1007/978-3-030-03769-7_18
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