Performance Measurement

  1. Abrams, M.D.; Treu, S.: A Methodology for Interactive Computer Service Measurement. Comm. of the ACM, 20(1977)12, pp. 936-944
  2. Balsamo, S.; Marco, A. D.; Inverardi, P.; Simeoni, M.: Model-Based Performance Prediction in Software Development: A Survey. IEEE Transactions on Software Engineering, 30(2004)5, pp. 295-310
  3. Baumecker, D.; Koeppe, R.: Entwurf von Feldbusprotokollen unter Performanceaspekten. In; Dumke et al.: Tagungsband zum 1. Workshop Performance Engineering in der Softwareentwicklung (PE2000), Darmstadt, Germany, May 2000, pp. 73-80
  4. Bertoloni, A.; Lombardi, G.; Marchetti, E.; Mirandola, R.: Software Performance Measures to Assist Decision Makers within the Rational Unified Process. Proc. of the 12th International Workshop on Software Measurement, October 7-9, 2002, Magdeburg, Shaker Publ., Aachen, pp. 228-245
  5. Blackburn, S. M.; McKinley, K. S.: Myths and Realities: The Performance Impact of Garbage Collection. SIGMETRICS, 32(2004)1, pp. 25-36
  6. Breß, S.; Neumann,R.; Dumke, R.: Kostenmetriken für virtuelle Rechnerressourcen. In: A. Abran; G. Büren; R.R. Dumke; J.J. Cuadrado-Gallego; J. Münch: Applied Software Measurement. Proceedings of the joined International Conferences on Software Measurement (IWSM/MetriKon/Mensura 2010), 10.-12. November 2010, Stuttgart, Shaker Verlag Aachen, S. 187-204
  7. Cacutalua, N.; Hollberg, K.: Mehr Wert generieren unter Weiterverwendung des Bewährten: Integration einer COBOL-Anwendung in ein J2EE-Umfeld. 5. Workshop Performance Engineering in der Softwareentwicklung (PE2004), Munich, Mai 2004, pp. 19-28
  8. Card, S.K.; Moran, T.P.; Newell, A.: The Keystroke-Level Model for User Performance Time with Interactive Systems. Comm. of the ACM, 23(1980)7, pp. 396-410
  9. Claffy, K. C.: Measuring the Internet. IEEE Internet Computing, January/February 2000, pp. 73-75
  10. Cramer et al.: Performance measurement on the Heidelberg audio/video distribution system: mthodology and results. Computer Communications, 18(1995)4, pp. 262-275
  11. Diederichs, H.; Suhl, L.: Rescuing Software Projects through Complexity Reduction - a System Theoretic Approach. 5. Workshop Performance Engineering in der Softwareentwicklung (PE2004), Munich, Mai 2004, pp. 105-114
  12. Dimitrov, E.; Schlosser, T.; Lezius, J.: Performancebetrachtungen prozessbasierter Enterprise Application Integration-Lösungen. 4. Workshop Performance Engineering in der Softwareentwicklung (PE2003), Magdeburg, Juni 2003, pp. 27-34
  13. Dimitrov, E.; Schmietendorf, A.: UML-basiertes Performance Engineering. In; Dumke et al.: Tagungsband zum 1. Workshop Performance Engineering in der Softwareentwicklung (PE2000), Darmstadt, Germany, May 2000, pp. 41-52
  14. Dimitrov, E.; Schmietendorf, A.; Atanassov, K. T.: Netzbasierte Modelle für die Performance Analyse von multitier Client/Server Systeme. In: Schmietendorf et al.: Tagungsband 2. Workshop Performance Engineering in der Softwareentwicklung (PE2001), Munich, Germany, April 2001, pp. 21-32
  15. Dimitrov, E.; Schmietendorf, A.; Dumke, R.: UML-Based Performance Engineering Possibilities and Techniques. IEEE Software, 19(2002)1, pp. 74-83
  16. Dimitrov, E.; Schmietendorf, A.; Dumke, R.; Nakonz, S.: Performanceaspekte der Enterprise JavanBean-Technologie. 3. Workshop Performance Engineering in der Softwareentwicklung (PE2002), Dresden, Mai 2002, pp. 14-27
  17. Drwiega, T.: Shared Memory Contention and Its Impact on Multi-processor Call Control. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 257-266
  18. Dumke, R.; Koeppe, R.: Conception of a Web-Based SPE Development Infrastructure. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 1-19
  19. Dumke, R.; Rautenstrauch, C.; Schmietendorf, A.; Scholz, A.: Performance Engineering - State of the Art and Current Trends. LNCS 2047, Springer Publ., 2001 (ISBN 3-540-42145-9)
  20. Echevarren A.; Zubieta, C.; Villandangos, J.; Prieto, M.: User Parameter Tunning for VoD Service Users. Proc. of the International Conference non Web Engineering (ICWE 2003), Oviedo, Spain, July 2003, pp. 84-85
  21. Eckardt, H.: Engpaß-Analyse - eine analytische Methode zur Leistungsbewertung. In: Schmietendorf et al.: Tagungsband 2. Workshop Performance Engineering in der Softwareentwicklung (PE2001), Munich, Germany, April 2001, pp. 59-70
  22. Elkner, J.; Dumke, R.: Konzeption und praktischer Einsatz eines Proxycache-Systems zur Erhöhung der Diestgüte im WWW. Tagungsband der MMB'99, September 1999, Trier, pp. 49-61
  23. Ellis, D.: The Dilemma of Measurement in Information Retrieval Research. Journal of the American Society for Information Science, pp. 23-36
  24. Far, B. H.: Performance Metrics for Intelligent Systems. www.enel.ucalgary.ca/People/far/Lectures/SENG609-22/PDF/tutorials/2002/Performance_Metrics_For_Intelligent_Systems.pdf, April 2004
  25. Flüs, C.: Performance Engineering of Mobil Agents Using JavaDEMOS. 3. Workshop Performance Engineering in der Softwareentwicklung (PE2002), Dresden, Mai 2002, pp. 28-36
  26. Gerlich, R.: Built-In Performance and Robustness Engineering Capabilities by a Formalised and Automated Software Devlopment Process. In; Dumke et al.: Tagungsband zum 1. Workshop Performance Engineering in der Softwareentwicklung (PE2000), Darmstadt, Germany, May 2000, pp. 17-32
  27. Gerlich, R.: Performance and Robustness Engineering and the Role of Automated Software Development. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 20-39
  28. Gerlich, R.; Gerlich, R.: Performance and Robustness Engineering: A Potential Conflict. In: Schmietendorf et al.: Tagungsband 2. Workshop Performance Engineering in der Softwareentwicklung (PE2001), Munich, Germany, April 2001, pp. 47-58
  29. Guo, J.; Liao, Y.; Parviz, B.: A Survey of J2EE Application Performance Management Systems. Proc. of the 2004 IEEE International Conference on Web Services (ICWS 2004), San Diego, July 6-9. 2004, pp. 724-731
  30. Hall, N.R.; Preiser, S.: Combined Network Complexity Measures. IBM Journal of Research and Development, 28(1984)1, pp. 15-27
  31. Harrison W.S., A.W. Krings, N. Hanebutte, and M. McQueen: On the Performance of a Survivability Architecture for Networked Computing Systems. Proceedings of the 35th Hawaii International Conference on System Sciences, January 2002.
  32. Henning, J. L.: SPEC CPU2000: Measuring CPU Performance in the New Millennium. IEEE Computer, July 2000, pp. 28-35
  33. Heeringen, v. H.; Symons, C.: The Performance of Business Application, Real-Time and Component Software Projects - An Analysis of COSMIC measured Projects in the ISGSG Datebase. internal Report, COSMIC Community, February 2012
  34. Henning, A.; Wasgint, R.; Olkhovic, L.; Petrovic, B.: Instant Performance Prototyping of EJB/J2EE Applications - A car rental example. 5. Workshop Performance Engineering in der Softwareentwicklung (PE2004), Munich, Mai 2004, pp. 29-36
  35. Hentschel, J.: The Impact of asynchronous and parallel programming on the utilization of server resources: A quantitative analysis. Master Thesis, University of Magdeburg, Germany, 2014
  36. Hopfer, R.; Schmietendorf, A.: Überblick zu den Möglichkeiten und Aussagen von Standard- und Anwendungs-Benchmarks. In: Schmietendorf et al.: Tagungsband 2. Workshop Performance Engineering in der Softwareentwicklung (PE2001), Munich, Germany, April 2001, pp. 71-84
  37. Juiz, C.; Puigjaner, R.; Jackson, K.: Performance Modelling of Interaction Protocols in Soft Real-Time Design Architectures. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 300-316
  38. Koenig, A.; Moo, B. E.: Performance: Myths, Measurements, and Morals. JOOP, May 2000, pp. 30-33
  39. Kraiß, A.; Weikum, G.: Zielorientiertes Performance Engineering auf Basis von Message-orientienter Middleware. In; Dumke et al.: Tagungsband zum 1. Workshop Performance Engineering in der Softwareentwicklung (PE2000), Darmstadt, Germany, May 2000, pp. 63-72
  40. Li, Y. S.; Malik, S.: Performance Analysis of Real-Time Embedded Software. Kluwer Academic Publishers, 1999
  41. Lilja, D. J.: Measuring Computer Performance – A practitioner’s guide. Cambridge University Press, 2000
  42. Liu, P.; Du, Z.: E-commerce Performance Assessment Research Based on the D-S Theory and the Balanced Score Card Method. Proc. of the 2008 International Seminar on Future Information Technology and Management Engineering, IEEE Computer Press, S. 120-123
  43. Majumdar, S.; Lüthi, J.; Haring, G.; Ramadoss, R.: Characterization and Analysis of Software and Computer Systems. with Uncertainties and Variablilities. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 202-221
  44. Marin, G.; Mellor-Crummey, J.: Cross-Architecture Performance Predictions for Scientific Applications. SIGMETRICS, 32(2004)1, pp. 2-13
  45. Mauser, H.; Wincheringer, C.: Performance Analysis of the IP Multimedia Subsystem for 3rd Generation Mobile Communication. 5. Workshop Performance Engineering in der Softwareentwicklung (PE2004), Munich, Mai 2004, pp. 87-94
  46. Menasce, D. A.; Almeida, V. A. F.: Capacity Planning For Web Performance - Metrics, Models, & Methods. Prentice Hall, 1998
  47. Monasce, D. A.; Almeida, V. A. F.: Scaling for E-Business – Technologies, Models, Performance and Capacity Planning. Addison Wesley Publ., 2000
  48. Merseguer, J.; Campos, J.; Mena, E.: A Performance Engineering Case Study: Software Retrieval System. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 317-332
  49. Miller et al.: The Paradyn Parallel Performance Measurement Tool. IEEE Computer, November 1995, pp. 37-56
  50. Mockus, A.; Fielding, R. T.; Herbsleb, J. D.: Two Case Studyies of Open Source Software Development: Apache and Mozilla. ACM Transactions on Software Engineering and Methodology, 11(2002)3, pp. 309-346
  51. Moreira, J.E.; Midkiff, S.P.; Gupta, M.; Artigas, P.V.; Wu, P.; Almasi, G.: The NINJA Project (Java Performance) Comm. of the ACM, 44(2001)10, pp. 102-109
  52. Neumann, R.; Dumke, R.; Schmietendorf, A.; Baumann, M.: Managing Semi-formal Product Data in E-Commerce Applications: A Performance Case Study of Relation vs. XML Databases. In: I. Awan; R. Osman: Performance Engineering - 27th Annual UK Performance Engineering Workshop (UKPEW 2011), July 7-8, 2011, Bradford, UK, Inprint and Design, S. 174-182, , ISBN 978-0-9559703-3-7
  53. Neumann, R.; Göltzer, E.; Schmietendorf, A.; Dumke, R.: Caching Highly Compute-intensive Cloud Applications: An Approach to Balancing Cost with Performance. Proc. IWSM-MENSURA 2011, November 3-4, 2011, Nara, Japan, IEEE Computer Society Press, 2011, S. 96-105
  54. R. Neumann, S. Taggeselle, R. Dumke, A. Schmietendorf, F. Muhss, A. Fiegler: Combining Query Performance with Data Integrity in the Cloud - A Hybrid Cloud Storage Framework to Enhance Data Access on the Windows Azure Platform. Proceedings of The 5th IEEE International Conference on Cloud Computing (Cloud 2012), Honolulu, USA, June 2012
  55. Norton, T. R.: The Simalytic Modeling Technique. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 222-238
  56. Phillips, R. J.; Martin, A.; Wilson, C. L.; Przybocki, M.: An Introduction to Evaluating Biometric Systems. IEEE Computer, February 2000, pp. 56-63
  57. Pöhls, M.: Toward Optimal Server License Balancing in a Virtual Server Environment. Master Thesis, University of Magdeburg, Germany, 2014
  58. Prechelt, L.: An Empirical Comparison of Seven Programming Languages. IEEE Computer, October 2000, pp. 23-29
  59. Rautenstrauch, C.; Scholz, A.: Performance Engineering on the Basis of Performance Service Levels. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 68-77
  60. Raz, D.; Levy, H.; Avi-Itzhak, B.: A Resource-Allocation Queueing Fairness Measure. SIGMETRICS, 32(2004)1, pp. 130-141
  61. Rud, D.: Performancebewertung und -sicherung von orchestrierten Serviceangeboten. Schriftenreihe Forschungsergebnisse zur Informatik, Band 64, Verlag Dr. Kovac, Hamburg, 2009, 249 S., ISBN 1435-6260
  62. Rud, D.; Schmietendorf, A.; Dumke, R.: Performance annotated orchestration models for service oriented architectures. Proceedings "22nd Annual UK Performance Engineering Workshop" (UKPEW'06), S. 63-72, July 6–7, 2006, Bournemouth University, Poole, Dorset, UK
  63. Rugel, S.: Fallbeispiel: Performance-Analyse zur Unterstützung einer HW-Architekturentscheidung. 4. Workshop Performance Engineering in der Softwareentwicklung (PE2003), Magdeburg, Juni 2003, pp. 49-60
  64. Schieferdecker, I.: An Approach for Performance Tests of CORBA based Systems. Proc. of the CONQUEST'99, Nuremberg, Germany, September 1999, pp. 370-378
  65. Schmietendorf, A.: Modellbezogene Notationen, Methoden und Tools für ein Software Performance Engineering.Preprint No 15, University of Magdeburg, Faculty of Informatics, 2000
  66. Schmietendorf, A.: Prozess-Konzepte zur Gewährleistung des Software Performance Engineerings in großen IT-Organisationen. Dissertationsschrift, University of Magdeburg, Shaker Publ., 2001 (ISBN 3-8265-9590-4)
  67. Schmietendorf, A.: Vorschlag eines erweiterten Vorgehensmodells zur Berücksichtigung von Aufganenstellungen des Software Performance Engineering. Preprint No 7, University of Magdeburg, Faculty of Informatics, 2001
  68. Schmietendorf, A.: Wirtschaftlichkeit des Software Performance Engineering im industriellen Umfeld. 4. Workshop Performance Engineering in der Softwareentwicklung (PE2003), Magdeburg, Juni 2003, pp. 89-102
  69. Schmietendorf, A.; Dimitrov, E.; Dumke, R.: An Overview About UML-Based Performance Engineering. Preprint No 14, University of Magdeburg, Faculty of Informatics, 2000
  70. Schmietendorf, A.; Dimitrov, E.; Dumke, R.: Possibilities of UML for software performance engineering. Proc. of the CONQUEST 2001, Nuremberg, Germany, September 2001, pp. 199-210
  71. Schmietendorf, A.; Dimitrov, E.; Dumke, R.: Software- und Performance Engineering - kein potentieller Widerspruch. Tagungsband der VDI-Tagung Software Engineering in der industriellen Praxis, Düsseldorf, 28.02-01.03.2002
  72. Schmietendorf, A.; Dumke, R.: Management des Risikos unperformanter IT-Systeme. 14. Jahrestagung der Central Europe Computer Measurement Group: (cecmg2001), Ulm/Deutschland, 25-27. April, 2001, S.
  73. Schmietendorf, A.; Dumke, R.: Notwendige Informationsflüsse zwischen Betreiber- und Entwicklerseite zur Etablierung eines Software Performance Engineering. MMB-Mitteilungen Nr. 38, Herbst 2000
  74. Schmietendorf, A.; Dumke, R.; Foltin, E.: Risk-driven effort estimation of tasks within the software performance engineering. Proc. of the ESCOM 2001, April 2001, London, pp. 87-96
  75. Schmietendorf, A.; Dumke, R.: Workshop Performance Engineering in der Softwareentwicklung (PE 2005). In der Reihe PE 2000 bis PE 2005, Universität Magdeburg Druck, 2005
  76. Schmietendorf, A.; Foltin, E.; Dumke, R.: Risk-driven effort estimation of tasks within the Software Performance Engineering. In Maxwell, K; Oligny, S.; Kusters, R.; Veenendaal, E. (Eds.): Project Control: Satisfying the Customer, Proc. 12th European Software Control and Metrics conference p.87-97, Shaker Publ., Maastricht/NL 2001
  77. Schmietendorf, A.; Scholz, A.; Rautenstrauch, C.: Evaluating the Performance Engineering Process. Proc. of the Second International Workshop on Software and Performance (WOSP 2000), Ottawa, September 2000, S. 89-96
  78. Schneider, T.: Performance Management of SAP Solutions. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 333-348
  79. Scholz, A.; Schmietendorf, A.: Aspekte des Performance Engineering - Aufgaben und Inhalte. In; Dumke et al.: Tagungsband zum 1. Workshop Performance Engineering in der Softwareentwicklung (PE2000), Darmstadt, Germany, May 2000, pp. 33-40
  80. Scholz, A.; Schmietendorf, A.: The Performance Engineering Maturity Model. Metrics News, 4(1999)2, pp. 41-51
  81. Smith, C. U.: Origins of Software Performance Engineering: Highlights and Outstanding. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 96-118
  82. Smith, C. U.: Origins of Software Performance Engineering: Highlights and Outstanding Problems. In: Dumke et al.: Performance Engineering – State of the Art and Current Trends. LNCS 2047, Springer-Publ., 2001, pp. 96-118
  83. Smith, C.U.: Performance Engineering of Software Systems. Addison Wesley, 1990
  84. Sneed, H.: Measuring the Performance of a Software Maintenance Department. Proc. of the Euromicro'97, March 17-19, Berlin, 1997, pp. 119-127
  85. Stary, C.: Performance Parameters and Context of Use. In: Dumke et al.: Performance Engineering, LNCS 2047, Springer Publ., 2001, pp. 119-130
  86. Stoll, D.: Performance Engineering for large Embedded Systems in Practice. 5. Workshop Performance Engineering in der Softwareentwicklung (PE2004), Munich, Mai 2004, pp. 69-88
  87. Toivonen, H.: Defining Measures for Memory Efficiency of the Software in Mobile Terminals. Proc. of the 12th International Workshop on Software Measurement, October 7-9, 2002, Magdeburg, Shaker Publ., Aachen, pp. 291-297
  88. Weber, D.; Erdmann, A.: Performance measurements and prognosis for large-scale multi-processor telecommunication systems. 5. Workshop Performance Engineering in der Softwareentwicklung (PE2004), Munich, Mai 2004, pp. 75-86
  89. Wilhelm, K.: Einsatz von Monitoring und Benchmarking beim R/3 Performance Engineering. In; Dumke et al.: Tagungsband zum 1. Workshop Performance Engineering in der Softwareentwicklung (PE2000), Darmstadt, Germany, May 2000, pp. 91-101
  90. Williamson, C.: Internet Traffic Measurement. IEEE Internet Computing, November/December 2001, pp. 70-74
  91. Wipprecht, M.; Nakonz, S.; Schmietendorf, A.; Herting, H.: Performance-Analyse einer EAI-Integrations-Applikation. 3. Workshop Performance Engineering in der Softwareentwicklung (PE2002), Dresden, Mai 2002, pp. 45-57
  92. Woodside, C.M.; Hagos, E.M.; Neron, E.; Buhr, R.J.A.: The CAEDE Performance Analysis Tool. Ada Letters, Spring, 11(1991)3, pp. 125-136
  93. Xinyuan Zhang; Lin Yang; Jing Wang; Qiang Zhao; Aike Qiao: The design of wound area measurement software based on Android operating system. 11th World Congress on, pp. 2946-2950
  94. Xu, Z.; Lehmann, A.: Extending Functional Models for Predicting Software Performance during the Unified Software Development Process. 4. Workshop Performance Engineering in der Softwareentwicklung (PE2003), Magdeburg, Juni 2003, pp. 61-68
  95. Zbrog, F.; Dumke, R.: Performance Engineering Infrastrukturen am Beispiel der Leistungsüberwachung von Institutsnetzen. 4. Workshop Performance Engineering in der Softwareentwicklung (PE2003), Magdeburg, Juni 2003, pp. 11-26