Computer Science ›› 2017, Vol. 44 ›› Issue (11): 156-163.doi: 10.11896/j.issn.1002-137X.2017.11.023
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NI You-cong, LI Song, YE Peng and DU Xin
[1] BROSIG F,MEIER P,BECKER S,et al.Quantitative Evaluation of Model-Driven Performance Analysis and Simulation of Component-Based Architectures[J].IEEE Trans.on Softw.Eng.,2015,41(2):157-175. [2] CORTELLESSA V.Performance antipatterns:State-of-art and future perspectives[C]∥Computer Performance Engineering.Springer,2013:1-6. [3] KOZIOLEK A.Automated improvement of software architecture models for performance and other quality attributes.http://www.gbv.de/dms/tib-ub-bannover/776654306.pdf. [4] AMOOZEGAR M,NEZAMABADI-POUR H.Software per-formance optimization based on constrained GSA[C]∥ 2012 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP).2012:134-139. [5] AMOOZEGAR M,NEZAMABADI-POUR H.A multi-objective approach to model-driven performance bottlenecks mitigation[J].Scientia Iranica,2015,22(3):1018-1030. [6] MARTENS A,KOZIOLEK H.Automatic,model-based soft-ware performance improvement for component-based software designs[J].Electron.Notes Theor.Comput.Sci.,2009,253(1):77-93. [7] SAED A A,KADIR W,WAN M N.Applying particle swarm optimization to software performance prediction an introduction to the approach[C]∥2011 5th Malaysian Conference on Software Engineering (MySEC).2011:207-212. [8] BUSCH A,KOZIOLEK A.Considering Not-Quantified Quality Attributes in an Automated Design Space Exploration[C]∥2016 12th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA).2016:50-59. [9] LI R,ETEMAADI R,EMMERICH M T,et al.An evolutionary multiobjective optimization approach to component-based software architecture design[C]∥2011 IEEE Congress on Evolutionary Computation (CEC).2011:432-439. [10] TRIBASTONE M.Efficient optimization of software perfor-mance models via parameter-space pruning[C]∥Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering.2014:63-73. [11] LI H,CASALE G,ELLAHI T.SLA-driven planning and optimization of enterprise applications[C]∥Proceedings of the First Joint WOSP/SIPEW International Conference on Performance Engineering.2010:117-128. [12] WILLIAMS L G,SMITH C U.PASA (SM):An Architectural Approach to Fixing Software Performance Problems [C]∥Int.CMG Conference.2002:307-320. [13] 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-QoSA and architecting critical systems-ISARCS.2011:33-42. [14] XU J.Rule-based automatic software performance diagnosis and improvement[J].Perform.Eval.,2012,69(11):525-550. [15] DU X,YAO X,NI Y,et al.An evolutionary algorithm for performance optimization at software architecture level[C]∥2015 IEEE Congress on Evolutionary Computation (CEC).2015:2129-2136. [16] DU X,NI Y,YE P.A Multi-objective Evolutionary Algorithm for Rule-based Performance Optimization at Software Architecture Level[C]∥Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation.2015:1385-1386. [17] KOUNEV S.Performance Modeling and Evaluation of Distributed Component-Based Systems Using Queueing Petri Nets[J].IEEE Trans.on Softw.Eng.,2006,32(7):486-502. [18] TRIBASTONE M.A fluid model for layered queueing networks[J].IEEE Trans.on Softw.Eng.,2013,39(6):744-756. [19] DISTEFANO S,SCARPA M,PULIAFITO A.From UML toPetri Nets:The PCM-Based Methodology[J].IEEE Trans.on Softw.Eng.,2011,37(1):65-79. [20] TRIBASTONE M,GILMORE S,HILLSTON J.Scalable Differen-tial Analysis of Process Algebra Models[J].IEEE Trans.on Softw.Eng.,2012,38(1):205-219. [21] KOZIOLEK A,ARDAGNA D,M IRANDOLA R.Hybrid multi-attribute QoS optimization in component based software systems[J].J.Syst.Softw.,2013,86(10):2542-2558. [22] HUANG X,WANG W,ZHANG W B,et al.Automatic per-formance modeling approach to performance profiling of Web applications[J].Journal of Software,2012,3(4):786-801.(in Chinese) 黄翔,王伟,张文博,等.面向性能剖析的 Web 应用自动性能建模方法[J].软件学报,2012,23(4):786-801. [23] LI C H,WANG W M,SHI Y Y.Performance prediction method for UML software architecture and its automation[J].Journal of Software,2013,4(7):1512-1528.(in Chinese) 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. [24] NAVARRO E,CUESTA C E,PERRY D E,et al.Antipatterns for architectural knowledge management[J].Int.J.Inf.Tech-nol.Decis.Mak.,2013,12(3):547-589. [25] SMITH C U,WILLIAMS L G.More new software performance antipatterns:Even more ways to shoot yourself in the foot[C]∥ Computer Measurement Group Conference.2003:717-725. [26] MEIER J D,VASIREDDY S,BABBARA,et al.Mackman,Improving.NET Application Performance and Scalability.http://www.bokus.com/bok/9780735618510/Improving-net-application-performance-and-scalability . [27] CORTELLESSA V,MARTENS A,REUSSNER R,et al.Aprocess to effectively identify ‘guilty’ performance antipatterns[C]∥Fundamental Approaches to Software Engineering.Springer,2010:368-382. [28] CORTELLESSA V,DI MARCO A,T RUBIANI C.An approach for modeling and detecting software performance antipatterns based on first-order logics[J].Softw.Syst.Model.,2014,13(1):391-432. [29] TRUBIANI C,KOZIOLEK A.Detection and solution of software performance antipatterns in palladio architectural models[J].ACM SIGSOFT Software Engineering Notes,2011,95(9):19-30. [30] CORTELLESSA V,FRITTELLA L.A Framework for Automated Generation of Architectural Feedback from Software Performance Analysis[C]∥Formal Methods and Stochastic Models for Performance Evaluation.Springer Berlin Heidelberg,2007:171-185. [31] BACHMANN F,BASS L,BIANCO P,et al.Using ArchE in the Classroom:One Experience.http://repsitory.cmu.edu/sei/3441. [32] CADORET F,BORDE E,GARDOLL S,et al.Design Patterns for Rule-Based Refinement of Safety Critical Embedded Systems Models[C]∥17th International Conference on Engineering of Complex Computer Systems (ICECCS).2012:67-76. [33] DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-II[J].IEEE Trans.on Evol.Comput.,2002,6(2):182-197. |
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