Computer Science ›› 2015, Vol. 42 ›› Issue (10): 189-192.
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DU Xin, WANG Chun-yan, NI You-cong, YE Peng and XIAO Ru-liang
| [1] Bernardo M,Hillston J.Formal Methods for Performance Eva-luation[C]∥7th International School on Formal Methods for the Design of Computer,Communication and Software Systems.Bertinoro,Italy:Springer,2007:1-37 [2] Marco D,Antinisca V C,Inverardi P.Model-based software performance analysis [M].Berlin:Springer,2011 [3] 李传煌,王伟明,施银燕.一种UML软件架构性能预测方法及其自动化研究[J].软件学报,2013,24(7):1512-1528 Li Chuan-huang,Wang Wei-ming,Shi Yin-yan.Performance Prediction Method for UML Software Architecture and its Automation[J].Journal of Software,2013,4(7):1512-1528 [4] Becker S,Koziolek H,Reussner R.The Palladio componentmodel for model-driven performance prediction [J].Journal of System and Software,2009,82(1):3-22 [5] Gomaa H,Menascé D A.Design and performance modeling ofcomponent interconnection patterns for distributed software architectures[C]∥Proceedings of the Second International Workshop on Software and Performance.Ontario,Canada:ACM,2000:117-126 [6] Brosig F,Huber N,Kounev S.Architecture-level software performance abstractions for online performance prediction [J].Scie-nce of computer programming,2014,90(B):71-92 [7] Rathfelder C,Klatt B,Sachs K.Modeling event-based communication in component-based software architectures for perfor-mance predictions [J].Software & Systems Modeling,2014,13(4):1291-1317 [8] Koziolek A,Koziolek H,Reussner R.Peropteryx:automated application of tactics in multi-objective software architecture optimization[C]∥Proceedings of the joint ACM SIGSOFT Conference－QoSA and ACM SIGSOFT Symposium－ISARCS on Quality of Software Architectures.Boulder,Colorado,USA:ACM,2011:33-42 [9] Smith C U,Williams L G.Software performance antipatterns[C]∥Proceedings of the 2nd International Workshop on Software and Performance.New York,NY,USA:ACM,2000:127-136 [10] Smith C U,Williams L G.Performance solutions:a practicalguide to creating responsive,scalable software [M].Addison-Wesley,2002 [11] Tribastone M.A fluid model for layered queueing networks[J].IEEE Transactions on Software Engineering,2013,39(6):744-756 [12] Xu J.Rule-based automatic software performance diagnosis and improvement [J].Performance Evaluation,2012,69(11):525-550 [13] Mcgregor J D,Bachmann F,Bass L,et al.Using arche in theclassroom:One experience (CMU/SEI-2007-TN-001) [R].Pittsburgh:Software Engineering Institute,Carnegie Mellon University,2007 [14] Bondarev E,Chaudron M R V,de Kock E A.Exploring perfor-mance trade-offs of a JPEG decoder using the DeepCompass framework[C]∥Proceedings of the 6th international workshop on software and performance,2007.Buenos Aires,Argentina:ACM,2007:153-163 [15] Cortellessa V,Frittella L.A framework for automated generation of architectural feedback from software performance analysis[C]∥Proceedings of Fourth European Performance Engineering Workshop(EPEW 2007).Berlin:Springer,2007:171-185 [16] Cortellessa V,Martens A,Reussner R,et al.A process to effectively identify “guilty” performance antipatterns[M].Fundamental approaches to software engineering.Berlin Heidelberg:Springer,2010:368-382 [17] Trubiani C,Koziolek A.Detection and solution of software performance antipatterns in palladio architectural models[C]∥Proceedings of the 2nd ACM/SPEC International Conference on Performance Engineering.New York,NY,USA:ACM,2011:19-30 [18] Cortellessa V,Di Marco A,Trubiani C.An approach for mode-ling and detecting software performance antipatterns based on first-order logics[J].Software & Systems Modeling,2014,13(1):391-432 |
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