Page 58 - 《软件学报》2021年第7期

1976 Journal of Software 软件学报 Vol.32, No.7, July 2021

[28] Lee JH, Park JB, Lee BH. Turnover prevention of a mobile robot on uneven terrain using the concept of stability space. Robotica,
2009,27(5):641–652.
[29] Webots. Webots reference manual.
[30] Michel O. Webots: Professional mobile robot simulation. Journal of Advanced Robot System, 2004,1:39–42.
[31] Andersson J, de Lemos R, Malek S, Weyns D. Modeling dimensions of self-adaptive software systems. In: Proc. of the Software
Engineering for Self-Adaptive Systems. 2009. 27–47.
[32] Braberman VA, D’Ippolito N, Kramer J, Sykes D, Uchitel S. An extended description of MORPH: A reference architecture for
configuration and behaviour self-adaptation. In: Proc. of the Software Engineering for Self-Adaptive Systems. 2013. 377–408.
[33] Anand S. Rao, Michael P. Georgeff. {BDI} agents: From theory to practice. In: Proc. of the 1st Int’l Conf. on Multiagent Systems
San Francisco, 1995. 312319.
[34] Garlan D, Cheng S-W, Huang A-C, Schmerl BR, Steenkiste P. Rainbow: Architecture-based self-adaptation with reusable
infrastructure. IEEE Computer, 2004,37(10):46–54.
[35] Garlan D, Schmerl BR, Cheng S-W. Software architecture-based self-adaptation. In: Proc. of the Autonomic Computing and
Networking. 2009. 31–55.
[36] Fernandes P, Werner C, Murta LGP. Feature modeling for context-aware software product lines. In: Proc. of the 20th Int’l Conf. on
Software Engineering & Knowledge Engineering (SEKE 2008), San Francisco, 2008. 758–763.
[37] Cheng BHC, Sawyer P, Bencomo N, Whittle J. A goal-based modeling approach to develop requirements of an adaptive system
with environmental uncertainty. In: Proc. of the 12th Int’l Conf. on Model Driven Engineering Languages and Systems, MODELS
2009. Denver, 2009. 468–483.
[38] Qian W, Peng X, Chen B, Mylopoulos J, Wang H, Zhao W. Rationalism with a dose of empiricism: Case-based reasoning for
requirements-driven self-adaptation. In: Proc. of the 22nd IEEE Int’l Requirements Engineering Conf. Karlskrona, 2014. 113–122.
[39] Tsigkanos C, Pasquale L, Ghezzi C, Nuseibeh B. On the interplay between cyber and physical spaces for adaptive security. IEEE
Trans. on Dependable and Secure Computing, 2018,15(3):466–480.
[40] Barna C, Ghanbari H, Litoiu M, Shtern M. Hogna: A platform for self-adaptive applications in cloud environments. In: Proc. of the
10th IEEE/ACM Int’l Symp. on Software Engineering for Adaptive and Self-managing Systems, SEAMS 2015. Florence, 2015.
83–87.
[41] Weyns D, Malek S, Andersson J. FORMS: Unifying reference model for formal specification of distributed self-adaptive systems.
TAAS, 2012,7(1):8:1–8:61.
[42] Weyns D. Software engineering of self-adaptive systems. In: Handbook of Software Engineering. 2019. 399443.
[43] Abbas N. Designing Self-adaptive Software Systems with Reuse. Linnaeus University Press, 2018.
[44] Longman A-W. Adaptive Control. Boston: Publishing Co., Inc., 1994.
[45] Parunak HVD. 《Go to the ant》: Engineering principles from natural multi-agent systems. Annals OR, 1997,75:69–101.
[46] Mamei M, Menezes R, Tolksdorf R, Zambonelli F. Case studies for self-organization in computer science. Journal of Systems
Architecture, 2006,52(8–9):443–460.
[47] Hart E, McEwan C, Timmis J, Hone A. Advances in artificial immune systems. Evolutionary Intelligence, 2011,4(2):67–68.
[48] Macías-Escrivá FD, Haber RE, Toro RM del, Hernández V. Self-adaptive systems: A survey of current approaches, research
challenges and applications. Expert Systems With Applications, 2013,40(18):7267–7279.
[49] Viroli M, Casadei M. Biochemical tuple spaces for self-organising coordination. In: Field J, Vasconcelos VT, eds. Coordination
Models and Languages. Berlin, Heidelberg: Springer-Verlag, 2009. 143–162.
[50] Salazar N, Rodríguez-Aguilar JA, Arcos JL. Robust coordination in large convention spaces. AI Communications, 2010,23(4):
357–372.