Zum Hauptinhalt springen

Cost/Effort Estimation

  1. Abdel-Hamid, T.K.: Adapting, Correcting, and Perfecting Software Estimates: A Maintenance Metaphor. IEEE Computer, March 1993, pp. 20-29
  2. Abdel-Hamid, T.K.: The Slippery Path to Productivity Improvement. IEEE Software, July 1996, pp. 43-52
  3. Abran, A.: COSMIC – Deployment of the second generation of FSM methods. Presentation at JFPUG 2001. www.gelog.etsmtl.ca (2001). Cited 25. December 2006
  4. Abendroth, D.; Bohne, W.: Software-Metriken als Schlüssel zur Aufwand-schätzung - Anforderungsmanagement in der Automotive SW-Entwicklung. In: Büren/ Bundschuh/Dumke: Praxis der Software-Messung. Shaker-Verlag, 2005, S. 213-222
  5. Abran, A.; Dumke, R.; Desharnais, J.; Ndyaje, I.; Kolbe, C.: A Strategy for a Credible & Auditable Estimation Process Using the ISBSG International Data Repository. In: Dumke et al.: Software Measurement and Estimation, Shaker-Verlag, Aachen, 2002, S. 246-258
  6. Abran, A.; Ndiaye, I.; Bourque, P.: Evaluation of Black-box Estimation Tool: A Case Study. Software Process Improvement and Practice, 12(2007), pp. 199-218
  7. Abran, A., O. Ormandjieva and M. Abu Talib: A Functional Size and Information Theory-Based Functional Complexity Measures: Exploratory study of related concepts using COSMIC-FFP measurement method as a case study. In Software Measurement – Research and Application, ed. A. Abran et al., 457-471. Aachen, Germany: Shaker Publ.,2004
  8. Abran, A. and P.N. Robillard: Function Points: A study of Their Measurement Processes and Scale Transformations. Journal of Systems and Software, 25(2): 171-184, 1994
  9. Agarwal, R.; Kumar, M.; Mallick, Y. S.; Bharadwaj, R. M.; Anantwar, D.: Estmating software projects. Software Engineering Notes, 26(2001)4, pp. 60-67
  10. Akao, Y. et al.: Quality Function Deployment (QFD). University Park, IL: Productivity Press, 1990
  11. Akkiraju, R.; Geel, H. v.: Estimating the Cost of Developing Customizations to Packaged Application Software using Service Oriented Architecture. Proc. of the Fifth IEEE International Conference on Web Service (ICWS 2010), July 5-10, Miami, 2010, S. 433-440
  12. Amasaki, S.; Lokan, C.: The Effects of Moving Windows to Software Estimation: Comparative Study on Linear Regression and Estimation by Analogy. In: Abran et al.: IWSM/Mensura Proceedings 2012, CPS Publishing Service, (online)
  13. Amasaki, S. and Lokan,C.: The Effects of Duration-Based Moving Windows with Estimation by Analogy; in Kobylinski et al.: Software Measurement, LNBIP 230, Springer Publ., Berlin, Heidelberg, New York, 2015, pp. 14-29
  14. Angelis, L.; Stamelos, I.; Morisio, M.: Building a Software Cost Estimation Model Based on Categorical Data. Pro. of the Seventh International Software Metrics Symposium METRICS 2001, April 2001, London, pp. 4-15
  15. Arifoglu, A.: A Methodology for Software Cost Estimation. Software Engineering Notes, 18(1993)2, pp. 96-105
  16. Armour, P.: Ten Unmyths of Project Estimation. Comm. of the ACM, 45(2002)11, pp. 15-18
  17. Bach, J.; Mauser, M.: Ermittlung von Synergiepotenzialen auf Grundlage der Function Point Analyse. In: Büren, G.; Bundschuh, M.; Dumke, R.: MetriKon 2005 - Praxis der Software-Messung. Shaker-Verlag, Aachen, 2005, S. 249-250
  18. Bailey, J.W.; Basili, V.R.: A Meta-Model for Software Development Resource Expenditures. Proceedings of the 5th International Conference on Software Engineering, March 9-12, San Diego, California, 1981, pp. 107-116
  19. Bajwa, S. S.; Gencel, C.: What are the Significant Cost Drivers for COSMIC Functional Size Based Effort Estimation. In: Abran/Braungarten/Dumke/Cuadrado-Gallego/Brunekreef: Software Process and Product Measurement. LNCS 5891, Springer-Verlag, Berlin New York, 2009, S. 62-75
  20. Bakir, A.; Turhan, B.; Bener, A.: A comparative study for estimating software development effort intervals. Journal of Software Quality Control, 19(2011)3, S. 537-552
  21. Bakkenist, J. A.: Budgeting Model for Exploitation Costs of Software Information Systems. Proc. of the FESMA'99, Amsterdam, Netherlands, October 1999, pp. 203-207
  22. Banker, R.D.; Kemerer, C.F.: Scale Economics in New Software Development. IEEE Transactions on Software Engineering, 15(1989)10, pp. 1199-1205
  23. Basse, B.: Investigations to the applicability of PC-HOST connections (German). Master's Thesis, TU Magdeburg, 1992
  24. Barros, R.C.; Ruiz, D.D.; Tenorio, N.N.; Basgalupp, M.R.; Becker, K.: Issues on Estimating Software Metrics in a Large Software Operation. 32nd Annual IEEE Software Engineering Workshop, 2008. SEW '08, pp. 152 - 160
  25. Berlin, S.; Raz, T.; Glezer, C.; Zviran, M.: Comparison of estimation methods of cost and duration in IT projects. Journal of Information and Software Technology, 51(2009)4, S. 738-748
  26. Bielak, J.: Improving Size Estimates Using Historical Data. IEEE Software, November/December 2000, pp. 27-35
  27. Bingham, G.: Getting Quick Wins with Software Metrics SLIM Estimate. Metrics News, 4(1999)2, pp. 61-72
  28. Blomquist, S.: Estimation methods for male labor supply functions: How to take account of nonlinear taxes. Journal of Economics, 70(1996)2, pp.383-405
  29. Böckle, G.; Clements, P.; McGregor, J. D.; Muthig, D.; Schmid, K.: Calculating ROI for Software Product Lines. IEEE Software, May/June, 2004, pp. 23-31
  30. Boehm, B. W.; Brown, A. W.: Mastering rapid delivery and change with the SAIV process model. Proc. of the ESCOM 2001, April 2001, London, pp. 147-156
  31. Boehm, B. W.; Fairley, R. E.: Software Estimation Perspectives. IEEE Software, November/December 2000, pp. 22-26
  32. Boehm, B. W.; Huang, L.; Jain, A.; Madachy, R.: The ROI of Software Dependability: The iDAVE Model. IEEE Software, May/June, 2004, pp. 54-61
  33. Briand, L.; Wüst, J.: The Impact of Design Properties on Development Cost in Object Oriented Systems. Pro. of the Seventh International Software Metrics Symposium METRICS 2001, April 2001, London, pp. 260-271
  34. Bridges, R.: Estimation with confidence: Applying COSMIC method for estimation in the avionics industry. Proc. of the European SEPG, 11. - 14. Juni 2007
  35. Buchmann, I.; Frischbier, S.; Pütz, D.: Towards an Estimation Model for Software Maintenance Costs. Proc. of the 15th European Conference on Software Maintenance and Reengineering (CSMR 2011), March 1-4, 2011, S. 313-316
  36. Buglione, L.; Cuadrado-Gallego, J. J.; Gutierrez, J. A.: Project Sizing and Estimating: A Case Study Using PSU, IFPUG and COSMIC. In: Dumke/ Braungarten/ Büren/ Abran/ Cuadrado-Gallego: Software Process und Product Measurement. LNCS 5338,Springer-Verlag, Berlin New York, 2008, S. 1-16
  37. Buglione, L.; Ebert, C.: Estimation Tools and Techniques. IEEE Software, May/June 2011, S. 91-94
  38. Bundschuh, M.: Estimation of Maintenance Tasks. In: Dumke/Abran/Bundschuh/Symons: Software Measurement and Estimation, Shaker-Verlag, Aachen, 2002, S. 125-136
  39. Büren, G.; Kroll, I.: First Experience with the Introduction of an Effort Estimatuion Process. Proc. of the CONQUEST'99, Nuremberg, Germany, September 1999, pp. 132-144
  40. Büren, G. and I. Kroll: Process improvement by introduction of an effort estimation process. In Proceedings of the 12th International Conference on Software and System Engineering and their Applications (ICSSEA), ed. J. Printz, 483-495. Paris, France: CMSL Press, 1999
  41. Bundschuh, M.: A holistic classification framework for software estimation. Proc. of the 4th European Conference on Software Measurement and ICT Control, FESMA-DASMA 2001, May 2001, Heidelberg, Germany, pp. 85-92
  42. Bundschuh, M.; Fabry, A.: Aufwandschätzung von IT-Projekten. MITP-Verlag, Bonn, Germany, 2000
  43. Carat, C.-M.: Usabiltiy Engineering in Dollars and Cents. IEEE Computer, May 1993, pp. 88-89
  44. Catherwood, B.: Sood Gupta, M.; Armour, F.: Life-cycla estimation for object-oriented system prediction by analogy. Proc. of the FESMA'98, Antwerp, Belgium, May 6-8, 1998, pp. 411-418
  45. Chatzoglou, P.D.; Macaulay, L.A.: A Rule-Based Approach to Developing Software Development Prediction Models. Automated Software Enmgineering, 5(1998), pp. 211-243
  46. Chemuturi M.: Software Estimation Best Practices, Tools & Techniques. J. Ross Publ., Lauderdale, FL, 2009
  47. Chen, Y.; Stromberg, A.J.: Robust Estimation Software Experiments.Software Engineering Notes, (1997)4, July, pp. 60-64
  48. Cost Estimation Measures. Tutorial of the SEMA-GROUP - Knowledge applied, England, 1991
  49. Choi, J.: A Model for Estimating Software Size for Large-Scale Business Applications. In: Dumke/Abran: Current Trends in Software Measurement, Shaker Publ., Aachen, Germany, 2001, pp. 300-324
  50. Corona, E.; Concas, G.; Marchesi, M.; Barabino, G.; Grechi, D.: Effort Estimation of Web Applications through Web CMF Objects. In: Abran et al.: IWSM/Mensura Proceedings 2012, CPS Publishing Service, Session 1A (online)
  51. Cowderoy, A.J.C.; Jenkins, J.O.: New Trends in Cost-Estimation. in: Kitchenham; Littlewood: Measurement for Software Control and Assurance. Elsevier Science Publisher Ltd, 1989, pp. 63-88
  52. Cuadrado-Gallego, J. J.; Buglione, L.; Rejas-Muslera, R. J.; Machado-Piriz, F.: IFPUG-COSMIC Statistical Conversion. Proc. of the 34th Euromicro Conference Software Engineering and Advanced Applications (SEAA), Parma, Italy, September 3-5, 2008, S. 427-432
  53. Cuadrado-Gallego, J.; Dolado, J.; Rodriguez, D.; Sicillia, M.: The Second Level Input Variables for Software Cost Estimation Models. In: Abran, A.; Bundschuh, M.; Büren, G.; Dumke, R.: Software Measurement - Research and Application. Shaker-Verlag, Aachen, 2004, S. 121-128
  54. Cuadrado-Gallego, J. J.; Jones, C.; Rodriguez-Soria, P.: A Review and Fundamental Issues of Lines of Code Metrics. In: Abran et al: Applied Software Measurement, Shakker-Verlag, 2010, S. 291-304
  55. Daneva, M.: Preliminary Results in a Multi-site Empirical Study on Cross-Organizational ERP Size and Effort Estimation. In: Cuadrado-Gallego, J. J.; Braungarten, R.; Dumke, R. R.; Abran, A.: Software Process and Product Measurement. LNCS 4895, Springer-Verlag, Berlin New York, 2007, S. 60-71 
  56. Daneva, M.; Wettflower, S.; de Boer S.: Uncertainty in ERP Effort Estimation: A Challenge or an Asset? In: Dumke et al.: Software Procesws and Product Measurement. Springer Publ., 2008, pp. 208-222
  57. Dekanenko, O.: Konzeption und Implementation eines webbasierten Tools zur Aufwandschätzung mittels der Use-Case-Points-Methode. Diploma Thesis, University of Magdeburg, Germany, 2007
  58. Dekkers, T.: (Extended) Functional Size Measurement Methods are also Applicable in Enhancement Projects. In: Büren/Bundschuh/Dumke: Software Messung in der Praxis, Shaker-Verlag, Aachen, 2003, S. 55-68
  59. Desharnais, J.-M.; Abran, A.: Applying a Functional Measurement Method: Cognitive Issues. In: Dumke/Abran: COSMIC Function Points - Theory and Advanced Practices, CRC Press, Boca Raton, 2011, S. 122-142
  60. Dib Cruz, C.: A proposal of a object oriented development cost model. Proc. of the FESMA'98, Antwerp, Belgium, May 6-8, 1998, pp. 581-588
  61. Dolado, J. J.: On the problem of the software cost function. Information and Software Technology, 43(2001)1, pp. 61-72
  62. Dowie, U.; Herzwurm, G.: TestASS: Eine Methode zur Testaufwandschätzung. In: Büren, G.; Bundschuh, M.; Dumke, R.: MetriKon 2007 - Praxis der Software-Messung. Shaker-Verlag, Aachen, 2007, S. 337-348
  63. Dumke, R; Abran. A.: COSMIC Function Points – Theory and Advanced Practices. CRC Publ., Boca Raton, 2011
  64. Dumke, R.; Foltin, E.; Schmietendorf, A.: Kausalitätsprobleme bei der Aufwandsschätsung in der Softwareentwicklung und -wartung. Preprint Nr. 13, University of Magdeburg, Faculty of Informatics, 1998
  65. Dumke, R.; Schmietendorf, A.; Seufert, M.; Wille, C.: Handbuch der Softwareumfangsmessung und Aufwandschätzung. Logos-Verlag, Berlin, 2014, (570 S.), ISBN 978-3-8325-3784-5
  66. Ebert C., Buglione L.: Estimation Tools - An overview. In: Büren/ Dumke/Münch: Praxis der Software-Messung. Shaker-Verlag, Aachen, 2011, S. 3-16
  67. Ejiogu, L. O.: Attribute-Based Model of Software Size. In: Dumke/Abran: Software Measurement – Current Trends in Research and Practice, Deutscher Universitätsverlag, Wiesbaden, 1999, S. 81-92
  68. El-Rewini, H.; Ali, H.H.: Task Scheduling in Multiprocessing Systems. IEEE Computer, December 1995, pp. 27-37
  69. Erdogmus. H.; Favaro, J.; Strigel, W.: Return on Investment. IEEE Software, May/June, 2004, pp. 18-22
  70. Evanco, W. M.: Analyzing Change Effort in Software During Development,Proc. of the METRICS'99, Boca Raton, Florida, November 1999, pp. 179-188
  71. Fairley, D.: Making Accurate Estimates. IEEE Software, November/December 2002, pp. 61-63
  72. Faria, P.; Miranda, E.: Expert Judgment in Software Estimation During the Bid Phase of a Project – An Exploratory Survey. In: Abran et al.: IWSM/Mensura Proceedings 2012, CPS Publishing Service, Session 3B (online)
  73. Fehlmann, T.: Using Six Sigma for Software Project Estimation - An Application of Statistical Methods for Software Metrics. In: Büren, G.; Dumke, R.: MetriKon 2009 - Praxis der Software-Messung, Shaker Verlag, 2009, S. 153-168
  74. Fehlmann, T.: When to Use COSMIC FFP? When to Use IFPUG FPA? A Six Sigma View. In: Dumke/Abran: COSMIC Function Points - Theory and Advanced Practices, CRC Press, Boca Raton, 2011, S. 260-272
  75. Fehlmann, T.; Kranich, E.: Quality of Estimation – How to Assess Reliability of Cost Predictions. In: Abran et al.: IWSM/Mensura Proceedings 2012, CPS Publishing Service, Session 1A (online)
  76. Fernandez, E.; Paton, M.; Velthius, M.G.: Methods of Effort Estimation for Object Oriented and Real-Time Systems. Proc. of the FESMA'99, Amsterdam, Netherlands, October 1999, pp. 321-331
  77. Fiedler, M.; Seufert, A.; Zettl, H.: Vergleichende Einordnung einzelner Bewertungsansätze und Entwurf eines optimierten situativen Ansatzes: Situatives SOA-Scorin-Modell (SSOAS). BSOA Konferenzbeiträge, Shaker-Verlag, 2008
  78. Finnie, G.. R.; Wittig, G. E.; Desharnais, J. M.: A Comparison of Software Effort Estimation Techniques: Using Function Points with Neural Networks, Case-Based Reasoning and Regression Models. Journal of Systems and Software, 39(1997), S. 281-289
  79. Foltin, E.; Schmietendorf, A.: Estimating the Cost of Carrying out Tasks Relating to Performance. In: Dumke/Abran: New Approaches in Software Measurement, LNCS 2006, Springer Publ., 2001, pp. 55-72
  80. Forselius, P.; Savioja, E.: Super Fast Size and Effort Estimation. In: Büren et al.: MetriKon 2013 – Praxis der Software-Messung, Shaker Verlag, Aachen, 2013
  81. Forselius, P.: Triangle Benchmarking - a new and easy way to realize your performance; in Seufert/Ebert/Fehlmann/Pechlivanidis/Dumke: MetriKon 2015 - Praxis der Software-Messung, Shaker-Verlag, Aachen, 2015, S. 1-2
  82. Foss, T.; Myrtveit, I.; Stensrud, E.: MRE and Heteroscedasticity. Proc. of the ESCOM 2001, April 2001, London, pp. 157-164
  83. Foss, T.; Myrtveit, I.; Stensrud, E.: A comparison of LAD and OLS Regression for Effort Prediction of Software Projects. Proc. of the ESCOM 2001, April 2001, London, pp. 9-16
  84. Fuchs, N.: COSMOS - Cost Management with Metrics of Specification. in: Fenton/Littlewood: Software Reliability and Metrics, Elsevier Applied Science, London New York, 1991, pp. 176-184
  85. Gencel, C.: How to Use COSMIC Functional Size in Effort Estimation Models? In: Dumke/ Braungarten/ Büren/ Abran/ Cuadrado-Gallego: Software Process und Product Measurement. LNCS 5338,Springer-Verlag, 2008, S. 196-207
  86. Gencel, C.; Ferrucci, F.; Gravino, C.; Sarro, F., Buglione, L.: Which COSMIC Base Functional Components are Significant in Estimating Web Application Development? An Empirical Study. In: Abran/Büren/Dumke/Cuadrado-Gallego/Münch: Applied Software Measurement. Shaker-Verlag, 2010, S. 205-224
  87. Gencel, C.; Sanz L. F.: A Novel Decision Making Platform for Managing Tradoffs between Quality, Cost and Time; in Seufert/Ebert/Fehlmann/Pechlivanidis/Dumke: MetriKon 2015 - Praxis der Software-Messung, Shaker-Verlag, Aachen, 2015, S. 265-271
  88. Geringer, P.T.; Gulledge, T.R.; Hutzler, W.P.: Software Engineering Economics and Declining Budgets. Springer Publisher, Berlin Heidelberg New York, 1994 
  89. Germanus, D.; Mrokon, L.: ESOMIC: Automated effort estimation based on UML specification or source code for object oriented programming languages. In: Abran et al.: Applied Software Measurement. Shaker-Verlag, Aachen, 2006, S. 401-410
  90. Goodman, P.A.: Application of cost-estimation techniques: industrial perspective. Information and Software Technology, 34(1992)6, pp. 379-382
  91. Gray, A. R.; MacDonell, S. G.; Shepperd, M.: Factors systematically associated with errors in subjective estimates of software development effort: the stability of expert judgment. Proc. of the METRICS'99, Boca Raton, Florida, November 1999, pp. 216-227
  92. Grimstad, S.; Jorgensen, M.: A Framework for the Analysis of Software Cost Estimation Accuracy. Proc. of the ISESE'06, Rio de Janeiro, September 21-22, 2006, S. 58-65
  93. Großjohann, R.: Kostenschätzung von IT-Projekten, in: Ebert, C.; Dumke, R.: Software-Metriken in der Praxis, Springer-Verlag, 1996, S. 117-141
  94. Hakuta, M.; Tone, F.; Ohminami, M.: Software Size Estimation Model and Its Evaluation. The Journal of Systems and Software, 37(1997)3, pp. 253-263
  95. Hamdan, K.; Belkouche, B.; Smith, P.: The Influence of Culture and Leadership on Cost Estimation. In: Dumke et al.: Software Process und Product Measurement. LNCS 5338,Springer-Verlag, Berlin New York, 2008, S. 223-232
  96. Hari C. V. M. K.; Reddy, P.; Jagadeesh, M.; Ganesh, G. S.: IntervalType-2 Fuzzy Logic for Software Cost Estimation Using TSFC with Mean and Standard Deviation. Proc. of the International Conference on Advances in Recent Technologies in Communication and Computing (ARTCom 2010), Kottayam, India, October 15-16, 2010, S. 40-44
  97. Harrison, W.; Adrangi, B.: The Role of Programming Language in Estimating Software Development Costs. Journal of Management Information Systems, 3(1986-87)3, pp. 101-110
  98. Hastings, T. E.; Sajeev, A. S.M.: A Vector-Based Approach to Software Size Measurement and Effort Estimation. IEEE Transaction on Software Engineering, 27(2001)4, pp. 337-350
  99. Heemstra, F. J.; Kusters, R. J.: Assessing IT-investments: costs, benefits, risks. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 307-315
  100. Herrygers, J.: Estimating Project for Accuracy and Continous Improvement.Proc. of the Conference on Software Measurement and Management (IFPUG'96), February 5-9, Rome, Italy, 1996 (27 p.)
  101. Hill, P.: Software Project Estimation. KWIK Publ., Melbourne, 1999
  102. Hürten, R.: Nicht falsch, sonder das Falsche geschätzt! Warum viele Function Point Installationen scheitern. In: Büren, G.; Bundschuh, M.; Dumke, R.: MetriKon 2005, Shaker-Verlag, Aachen, 2005, S. 223-230
  103. Idri, A.; Abran, A.; Khoshgoftaar, T. M.: Estimating Software Project Effort by Analogy Based on Linguistic Values. Proc. of the Eight IEEE Symposium on Software Metrics (METRICS 2002), June 4-7, 2002, Ottawa, Canada, pp. 21-32
  104. Idri, A.; Abran, A.; Khoshgoftaar, T. M.: Fuzzy Analogy: A New Approach for Software Cost Estimation. In: Dumke/Abran: Current Trends in Software Measurement, Shaker Publ., Aachen, Germany, 2001, pp. 127-142
  105. Idri, A.; Zahi, A.; Mendes, E.; Zakrani, A.: Software Cost Estimation Models Using Radial Basis Function Neural Networks. In: Cuadrado-Gallego et al.: Software Process and Product Measurement. LNCS 4895, Springer-Verlag, 2007, S. 21-31
  106. Jahnke, G.: An Example Cost/Benefit Analysis for Quality Management Systems. in: Wieczorek/Meyerhoff: Software Quality, Springer Publ. 2001, pp. 135-148
  107. Janus, A.; Dumke, R.: Aufwandschätzungen in Mikroprojekten – ein Erfahrungsbericht. In: Büren et al.: MetriKon 2013 – Praxis der Software-Messung, Shaker Verlag, Aachen, 2013
  108. Jeffery, D.R.: Time-Sensitive Cost Models in the Commercial MIS Environment. IEEE Transactions on Software Engineering, 13(1987)7, pp. 852-859
  109. Jeffery, R.; Ruhe, M.; Wieczorek, I.: A comparative Study of Cost Modelling Techniques using Public Domain multi-organisational and company-specific Data. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 239-247
  110. Jeffery, R.; Ruhe, M.; Wieczorek, I.: Using Public Domain Metrics to Estimate Software Development Effort. Pro. of the Seventh International Software Metrics Symposium METRICS 2001, April 2001, London, pp. 16-27
  111. Jocher, T.; Holl, M.: Pi mal Daumen - Ein Aufwandschätzverfahren für objektorientierte Projekte. OBJEKTspektrum, 3(2000), pp. 44-58
  112. Johnson, P. M.; Moore, C. A.; Dane, J. A.; Brewer, R. S.: Empirically Guided Software Effort Guesstimation. IEEE Software, November/ December 2000, pp. 51-56
  113. Jones, C.: Activity-based software costing. IEEE Computer, May 1996, pp. 103-104
  114. Jones, C.: Applied Software Measurement. McGraw-Hill, Inc. 1991
  115. Jones, C.: A Short History of Lines of Code (LOC) Metrics, Work Paper, Version 4.0, May 27, 2008
  116. Jones, C.: By popular demand: Software estimating rules of thumb. IEEE Computer, March 1996, pp. 116-119
  117. Jones, C.: Estimating Software Costs - Bringing Realism to Estimating. McGraw Hill Pul., 2007
  118. Jones, C.: Rules of Thumb for Year 2000 and Euro-Currency Software Repairs. Metrics News, 3(1998)1, S. 13-22
  119. Jones, C.: Source of Errors in Software Cost Estimation. Technical Report, SPR Inc., Burlington, MA, Nov. 1993
  120. Jones, A.; Tabberer, M.: Process quality costing adapted to software development. Software Quality Journal, 2(1993)4, pp. 209-224
  121. Jorgensen, M.: How to Avoid Selecting Bids Based on Overoptimistic Cost Estimates. IEEE Software, May/June 2009, S. 79-84
  122. Jorgensen, M.; Shepperd, M.: A Systematic Review of Software Development Cost Estimation Studies. IEEE Transaction on Software Engineering, 33(2007)1, S. 33-53
  123. Jorgensen, M.; Sjøberg, D. I.K.: Impact of effort estimation on software project work. Information and Software Technology, 43(2001)15, pp. 939-948
  124. Kang, S.; Choi, O.; Baik, J.: Model-based Dynamic Cost Estimation and Tracking Method for Agile Software Development. Proc of the International Conference on Computer and Information Science, December 12-15, Saint Louis, 2010, S. 743-748
  125. Kappelman, L.A.; Fent, D.; Keeling, K.B.; Prybutok, V.: Calculating the Cost of Year-2000 Compliance. CACM, 41(1998)2, pp. 30-39
  126. Kashyap, D.; Misra, A. K.: Software Development Cost Estimation Using Similarity Difference between Software Attributes. Proc. of the ISDOC'13, July 11-12, 2013, Lisboa, Portugal, S. 1-6
  127. Kassab, M.; Daneva, M.; Ormandjieva, O.: Towards an Early Software Effort Estimation Based on Functional and Non-Functional Requirements. In: Abran et al.: Software Process and Product Measurement, Springer-Verlag, 2009, S. 182-196
  128. Keung, J.: Software Development Cost Estimation using Analogy: A Review. Proc. of the ASWEC 2009, April 14-17, 2009, Gold Coast, Australia, S. 327-336
  129. Khoshgoftaar, T. M.; Geleyn, E.; Gao, K.: An Empirical Study of the Impact of Count Models Predictions on Modul-Order Models. Proc. of the Eight IEEE Symposium on Software Metrics (METRICS 2002), June 4-7, 2002, Ottawa, Canada, pp. 161-172
  130. Kindler, A.; Schneyder, v. W.: Aufwandschätzung in Projekten - zwischen Fehlanzeige und Perfektion Tagungsband des DASMA Software Metrik Kongresses (MetriKon 2003), November 10-11, 2003, Ulm, Shaker Publ., Aachen, pp. 107-120
  131. Kitchenham, B.A.: Empirical studies of assumptions that underlie software cost-estimation models. Information and Software Technology, 34(1992)4, pp. 211-218
  132. Kok, P.: New Approach to Software Cost Estimation. in: Fenton/Littlewood: Software Reliability and Metrics, Elsevier Applied Science, London New York, 1991, pp. 162-175
  133. Kok, P.A.M.; Kitchenham, B.A.; Kirakowski, J.: The MERMAID Approach to software cost estimation. in: ESPRIT'90, Kluwer Academic Press, 1990, pp. 296-314
  134. Koppenberg, T. and T. Dekkers: Estimating maintenance projects using COSMIC-FFP. In Software Measurement – Research and Application, ed. A. Aban et al., 165-174. Aachen, Germany: Shaker Publ. 2004
  135. Lederer, A.L.; Prasad, J.: Nine Management Guidlines for Better Cost Estimating. Comm. of the ACM, 35(1992)2, pp. 51-59
  136. Levesque/Bevo: Measuring Size for the Development of a Cost Model: A Comparison of Results Based on COSMIC FFP and SLIM Back-Firing Function Points. Proc of the IWSM 2001, Montreal, August 2001, S. 284-299
  137. Lewis, J. P.: Limits to Software Estimation. Software Engineering Notes, July 2001, pp. 54-59
  138. Li, Z.; Keung, J.: Software Cost Estimation Framework for Service-Oriented Architecture using Divide-and-Conquer Approach. Proc. of the Fifth IEEE International Symposium on Service-Oriented System Engineering (SOSE 2010), June 22-24, Loughborough, UK, 2010, S. 47-54
  139. Lind, K.; Heldal, R.; Harutyunyan, T.; Heimdahl, T.: CompSize: Automated Size Estimation of Embedded Software Components. Proc. IWSM-MENSURA 2011, November 3-4, 2011, Nara, Japan, IEEE Computer Society Press, 2011
  140. Lindgren, R. M. B.; Wieland, P.: Covering Human in Software Project Estimation. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 23-31
  141. Lokan, C.L.: Early Size Prediction for C and Pascal Programs. The Journal of Systems and Software, 32(1996)1, pp. 65-72
  142. Londeix, B.: Improving project estimation. Proc. of the FESMA'98, Antwerp, Belgium, May 6-8, 1998, pp. 533-548
  143. LPA: Costing the coding. Application Brief, Logic Programming Associates (LPA) Ltd., London, 1991
  144. MacDonell, S.G.: Comparative review of functional complexity assessment methods for effort estimation. Software Engineering Journal, May 1994, pp. 107-116
  145. MacDonell, S.G.; Fletcher, T.: Metric Selection for Effort Assessment in Multimedia Systems Development. Proc. of the Fifth International Software Metrics Symposium, November 20-21, 1998, Bethesda, Maryland, pp. 97-104
  146. Madachy, R.J.: Knowledge-Based Risk Assessment and Cost Estimation.Automated Software Engineering, 2(1995)3, pp. 219-230
  147. Magazinius, A.; Feldt, R.: Confirming Distortional Behaviors in Software Cost Estimation Practice. Prof. of the EUROMICRO, August 30 - September 2, Oulu, Finland, 2011, S. 411-418
  148. Magazinius, A.; Feldt, R.: Exploring the Human and Organizational Aspects of Software Cost Estimation. Proc. of the CHASE'10, May 2, 2010, S. 92-95
  149. Mandala, N. R.; Walia, G. S.; Carver, J. C.; Nagappan, N.: Application of Kusumoto Cost-Metric to Evaluate the Cost Effectiveness of Software Inspections. Proc. of the ESEM 2012, September 19-20, Lund Sweden, 2012, S. 221-230
  150. Martinez, M. A. M.; Carbajo, C. N.: Estimation system for software projects based on A. I. techniques. Proc. of the 4th European Conference on Software Measurement and ICT Control, FESMA-DASMA 2001, May 2001, Heidelberg, Germany, pp. 327-338
  151. Martino, S. D.; Ferrucci, F.; Gravino, C.; Mendes, E.: Comparing Size Measures for Predicting Web Application Development Effort: A Case Study. Proc. of the ESEM, Madrid, September 20-21, 2007, S. 324-333
  152. Marwane, R.; Mili, A.: Building tailor-made software cost model: Intermediate TUCOMO. Information and Software Technology, 33(1991)3, S.232-238
  153. McConnel, S.: Software Estimation – Demystifying the Black Art. Microsoft Press, 2006
  154. Meli, R.: Human factors and analytical models in software estimation: an integration perspective. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 33-40
  155. Mendes, E.; Mosley, N.; Counsell, S.: Exploring case-based reasoning for web hypermedia project cost estimation. International Journal of Web Engineering and Technology, 2(2005)1, S. 117-143
  156. Metelski, G.; Blair, T.: Application of Life Cycla Cost Modelling to New Generation of Telecommunication Products. Proceedings of the Quality Engineering Workshop, Bell Canada, October 15-17, 1991, pp. 19.1-19.10
  157. Minkiewicz, A. F.: Estimating software from requirements. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 259-266
  158. Miranda, E.: Establishing Software Size Using the Paired Comparisons Method. Proc. of the IWSM'99, Lac Superieur, Quebec, Canada, September 1999, pp. 132-142
  159. Miranda, E.: Improving Subjective Estimates Using Paired Comparisons. IEEE Software, January/February 2001, pp. 87-91
  160. Mittal, A.; Parkash, K.; Mittal, H.: Software Cost Estimation Using Fuzzy Logic. SIGSOFT SEN, 35(2010)1, S. 1-7
  161. Mittas, N.; Angelis, L.: Combining Regression and Estimation by Analogy in a Semi-parametric Model for Software Cost Estimation. Proc. of the ESEM'08, Kaiserslautern, October 9-10, 2008, S. 70-79
  162. Mittas, N.; Angelis, L.: Ranking and Clustering Software Cost Estimation Models through a Multiple Comparison Algorithm. IEEE Transactions on Software Engineering, 39(2013)4, S. 537-551
  163. Mittas, N.; Angelis, L.: Visual Comparison of Software Cost Estimation Models by Regression Error Characteristics Analysis. Journal of Systems and Software, 83(2010)4, S. 621-637
  164. Mittelmann, A.: Messen von weichen Faktoren. In: Dumke/Lehner: Software-Metriken – Entwicklungen, Werkzeuge und Anwendungsverfahren, Deutscher Universitätsverlag, Wiesbaden, 2000, S. 221-229
  165. Miyazaki, Y.; Tarakado, M.; Ozaki, K.; Nozaki, M.: Robust Regression for Developing Software Estimation Models. The Journal of Systems and Software, 27(1994)1, pp. 3-16
  166. Morkramer, A.: ASAMETRICS - implement metrics with cost/benefit ratio.Proc. of the FESMA'98, Antwerp, Belgium, May 6-8, 1998, pp. 65-72
  167. Müller, M. M.; Padberg, F.: On the Economic Evaluation of XP Projects. Software Engineering Notes, 28(2003)5, pp. 168-177
  168. Musilek, P.; Pedrycz, W.; Sun, N.; Succi, G.: On the Sensitivity of COCOMO II Software Cost Estimation Model. Proc. of the Eight IEEE Symposium on Software Metrics (METRICS 2002), June 4-7, 2002, Ottawa, pp. 13-20
  169. 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
  170. Nitze, A.; Schmietendorf, A.; Dumke, R.: An Analogy-Based Effort Estimation Approach for Mobile Application Development Projects. Proc. of the IWSM/Mensura 2014, Rotteerdam, Netherlands, 6. - 8.Oct. 2014, CPS Publishing Service, Session New Approaches (online)
  171. Ohlsson, M. C.; Wohlin, C.: An Empirical Study of Effort Estimation during Project Execution. Proc. of the METRICS'99, Boca Raton, Florida, November 1999, pp. 91-98
  172. Paschetta, E. et al: A Multicriteria-Based Methodology For the Evaluation of Software Cost Estimation Models and Tools. Proc. of the Conference on Software Measurement and Management (IFPUG'96), February 5-9, Rome, Italy, 1996 (10 p.)
  173. Parr, F.N.: An Alternative to the Rayleigh Curve Model for Software Development Effort. IEEE Transactions on Software Engineering, 6(1980)3, pp. 291-296
  174. Pengelly, A.: Performance of effort estimating techniques in current development environments. Software Engineering Journal, 10(1995)5, pp. 162-170
  175. Pingel, D.: SOA & Metriken - Die Aufwandschätzung. In: Büren, G.; Bundschuh, M.; Dumke, R.: MetriKon 2007 - Praxis der Software-Messung. Shaker-Verlag, Aachen, 2007, S. 327-336
  176. Putnam, L.H.: A General Empirical Solution to the Macro Software Sizing and Estimating Problem. IEEE Transactions on Software Engineering, 4(1978)4, pp. 345-361
  177. Ramasubbu, N.; Balan, R. K.: Overcoming the Challenges in Cost Estimation for Distributed Software Projects. Proc. of the ICSE'12, Zurich, June 2-9, Switzerland, S. 91-101
  178. Rehesar, H.: Maximum benefits for minimum costs: a proposal. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 317-323
  179. Reifer, D. J.: Web Development: Estimating Quick-to-Market Software. IEEE Software, November/December 2000, pp. 57-64
  180. Reiter, K.: Effort estimation methods for software development (German). in: Wirtschaftlichkeit von Software-Entwicklung und -Einsatz, Teubner Publisher, Stuttgart, German Chapter of ACM Berichte 36, 1992, pp. 197-212
  181. Remenyi, D. et al.: The Effective Measurement and Management of IT Costs and Benefits (2nd eds.). Butterworth Heinemann, London, (2000)
  182. Rodriguez, D.; Cuadrado-Gallego, J. J.; Aguilar, J.: Using Genetic Algorithm to Generate Estimation Models. In: Abran, A.; Bundschuh, M.; Büren, G.; Dumke, R.: Applied Software Measurement. Shaker-Verlag, Aachen, 2006, S. 17-26
  183. Rosa, W.: Empirical Effort and Schedule Estimation for Enterprise Resource Planning Projects. In: Abran et al.: IWSM/Mensura Proceedings 2012, CPS Publishing Service, Session 4B (online)
  184. Royce, W.: Why software sosts so much. IEEE Computer, May 1993, pp. 90-91
  185. Ruhe, M.: Die präzise und frühzeitige Aufwandschätzung von Web-Anwendungen Tagungsband des DASMA Software Metrik Kongresses (MetriKon 2003), November 10-11, 2003, Ulm, Shaker Publ., Aachen, pp. 83-88
  186. Rudolph, E.: Measuring the size of application software overheads. In: Abran, A.; Bundschuh, M.; Büren, G.; Dumke, R.: Software Measurement - Research and Application. Shaker-Verlag, Aachen, 2004, S. 17-26
  187. Ruhe, M.: Die präzise und frühzeitige Aufwandschätzung von Web-Anwendungen. In: Büren/Bundschuh/Dumke: Software-Messung in der Praxis, Shaker-Verlag, Aachen, 2003, S. 83-88
  188. Sadiq, M.; Rahman, A.; Asim, S. A. M.; Ahmad, J.: esrcTool: A Tool to Estimate the Software Risk and Cost. Proc. of the ICCRD 2010, May 7-10, 2010, Kuala Lumpur, Malaysia, S. 886-890
  189. Sanchez-Rosado, I. et al.: Assessing the Documentation Development Effort in Software Projects. In: Abran, A.; Braungarten, R.; Dumke, R. R.; Cuadrado-Gallego, J. J.; Brunekreef, J.: Software Process and Product Measurement. LNCS 5891, Springer-Verlag, Berlin New York, 2009, S. 337-346
  190. Santillo, L.: Size and estimation of data warehouse systems. Proc. of the 4th European Conference on Software Measurement and ICT Control, FESMA-DASMA 2001, May 2001, Heidelberg, Germany, pp. 315-326
  191. Sarferaz, S.; Hesse, W.: CEOS - A Cost Estimation Method for Evolutionary, Object-Oriented Software Development. In: Dumke/Abran: New Approaches in Software Measurement, LNCS 2006, Springer Publ., 2001, pp. 29-43
  192. Schmietendorf, A.: Aufwandsschätzung bei Projekten nach dem eXtreme Programming-Paradigma. Shaker-Verlag, Aachen, 2009
  193. Schmietendorf, A.: Kostenverteilung im IT-Life-Cycle Tagungsband des DASMA Software Metrik Kongresses (MetriKon 2003), November 10-11, 2003, Ulm, Shaker Publ., Aachen, pp. 121-134
  194. Schmietendorf, A.: Kosten- und Aufwandschätzung bei der Entwicklung von Smartphone-Apps, eine Bestandsaufnahme. Büren, G.; Dumke, R.; Ebert, C.; Münch, J.: MetriKon 2012 - Praxis der Software-Messung. Shaker-Verlag, Aachen, 2012, S. 141-148
  195. Schmietendorf, A.; Dumke, R.: Entwicklung und Einsatz von Big Data Applikationen: eine kritische Betrachtung der einhergehenden Aufwände. In: Büren et al.: Praxis der Software-Messung, Shaker-Verlag, Aachen, 2014, S. 195-204
  196. Schmietendorf, A.; End, A.; Dumke R.: Prognoseverfahren zur Bewertung der Prozessperformance und der Prozesskosten. In: G. Büren und R.R. Dumke: Praxis der Software-Messung - Tagungsband des DASMA Software Metrik Kongresses (MetriKon 2009), 19.-20. November, 2009, Kaiserslautern, Shaker Verlag Aachen, S. 305-318
  197. Schmietendorf, A.; Kunz, M.; Dumke, R.: Effort estimation for Agile Software Development Projects. Proceedings of the 5th Software Measurement European Forum (SMEF 2008), May, 28-30, 2008, Milan, Italy, ISBN 9-788870-909999
  198. Schmietendorf, A.; Reitz, D.; Lezius, J.; Dimitrov, E.; Walter, T.: Identifikation und Aufwandschätzung neuer Anforderungen im Rahmen etablierter Integrationsarchitekturen. In: Abran, A.; Bundschuh, M.; Büren, G.; Dumke, R.: Software Measurement - Research and Application. Shaker-Verlag, Aachen, 2004, S. 147-164
  199. Schmietendorf, A.; Stojanov, S.: Offshoring – 6 years of industrial experience in distributed software development. In: Abran/Dumke: Innovations in Software Measurement, Shaker-Verlag, Aachen, 2005, S. 67-78
  200. Schmietendorf, A.; Venkov, R.; Dumke, R.; Stojanov, S.: Softwareentwicklung mit einem osteuropäischen Partner. HMD Praxis der Wirtschaftsinformatik, 242, 2005, S. 93-102
  201. Schoedon, M.: Krankenhausinformationssysteme: Systemüberblick, UML 2.0-basierte Modellierung und FFP-Aufwandsschätzung. Diplomarbeit, Fakultät für Informatik, Universität Magdeburg, 2005
  202. Sedehi, H. et al: Software Cost Estimation: an experimental study of model performance. Proc. of the Conference on Software Measurement and Management (IFPUG'96), February 5-9, Rome, Italy, 1996 (6 p.)
  203. Shepperd, M.; Cartwright, M.: Predicting with Sparse Data. Pro. of the Seventh International Software Metrics Symposium METRICS 2001, April 2001, London, pp. 28-41
  204. Shepperd, M.; Kadoda, G.: Using Simulation to Evaluate Prediction Techniques. Pro. of the Seventh International Software Metrics Symposium METRICS 2001, April 2001, London, pp. 349-360
  205. Singh, J.: Software Comprehensive Count with Quantity Indicators - A comprehensive approach to Software Size Measurement. SCCQIv 1.03, EUSFP, Kapellen, Belgium, January 2012
  206. Siy, H.; Mockus, A.: Measuring Domain Engineering Effects on Software Change Cost. Proc. of the METRICS'99, Boca Raton, Florida, November 1999, pp. 304-311
  207. Sneed, H. M.: Estimating the Costs of Change Requests based on Impact Analysis. In: Büren et al.: MetriKon 2013 – Praxis der Software-Messung, Shaker Verlag, Aachen, 2013
  208. Sneed, H. M.: Measuring 75 Million Lines of Code. In: Dumke/ Braungarten/ Büren/ Abran/ Cuadrado-Gallego: Software Process und Product Measurement. LNCS 5338,Springer-Verlag, Berlin New York, 2008, S. 271-286
  209. Sneed, H. M.: Object-Points - Erfahrungen mit der Aufwandschätzung objektorientierter Systeme. In: Dumke, R. (Hrsg.): Software-Metriken in der Praxis, Shaker-Verlag, Aachen, 2001, S. 36-49
  210. Sneed, H.: Software-Projektkalkulation. Hanser Publ., 2005
  211. Sneed, H. M.: Schätzung der Entwicklungskosten von objektorientierter Software. Informatik Spektrum, Springer Berlin Heidelberg New York, (1996) 19: pp. 133-140
  212. Stamelos, I.; Angelis, L.; Sakellaris, E.: BRACE: BootstRap based Analogy Cost Estimation. Proc. of the ESCOM 2001, April 2001, London, pp. 17-23
  213. Srinivasan, B.; Martin, G.: MONSET - A Prototype Software Development Estimating Tool. Proc. of the Third Symposium on Assessment of Quality Software Development Tools, Washington D.C., June 7-9, 1994, IEEE Society Press, pp. 70-82
  214. Stensrud, E.; Myrtweit, I.: The added value of estimation by analogy - an industrial experiment. Proc. of the FESMA'98, Antwerp, Belgium, May 6-8, 1998, pp. 549-556
  215. Stricker, C.: Evaluating Effort Prediction Systems. Proceedings of the Tenth Annual Conference on Application of Software Metrics and Quality Assurance in Industry, Amsterdam, 29 September - 1 October 1993, Section 12
  216. Strike, K.; El Emam, K.; Madhavij, N.: Software Cost Estimation with Incomplete Data. IEEE Transaction on Software Engineering, 27(2001)10, pp. 890-908
  217. Stutzke, R. D.: Predicting Estimation Accuracy. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 211-219
  218. Taff, L.M.; Borchering, J.W.; Hudgins, W.R.: Estimeetings: Development Estimates and a Front-End Process For a Large Project. IEEE Transactions on Software Engineering, 17(1991)8, pp. 839-849
  219. Toffolon, C.; Dakhli, S.: The Cost of Co-ordination in Sofwtare Engineering. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 41-48
  220. Trendowicz, A.: Software Cost Estimation, Benchmarking, and Risk Assessment. Springer-Verlag, Berlin New York, 2013
  221. Trendowicz, A. Münch, J.: Enhanced the Hybrid Software Cost Modeling Method CoBRA for Supporting Process Maturation. In: Abran, A.; Bundschuh, M.; Büren, G.; Dumke, R.: Applied Software Measurement. Shaker-Verlag, 2006, S. 3-16
  222. Trudel, S.; Buglione, L.: Guideline for Sizing Agile Projects with COSMIC. In: Abran et al.: Applied Software Measurement, Shaker-Verlag, Aachen, 2010, S. 315-332
  223. Tsuboi, N.: New Cost Model and Process Management Using that Model. Proceedings of the Third International Confenrence on Software Quality, Lake Tahoe, Nevada, 4-6 October 1993, pp. 215-222
  224. Tunalilar, S.; Demirors, O.: EFES: An Effort Estimation Methodology. In: Abran et al.: IWSM/Mensura Proceedings 2012, CPS Publishing Service, Session 4B (online)
  225. Turetken, O.; Top, O. O.; Ozkan, B.; Demirors, O.: The Impact of Individual Assumptions on Functional Size. In: Dumke/ Braungarten/ Büren/ Abran/ Cuadrado-Gallego: Software Process und Product Measurement. LNCS 5338,Springer-Verlag, Berlin New York, 2008, S. 155-169
  226. Verner, J.M.; Tate, G.: A Model for Software Sizing. The Journal of Software and Systems, 7 (1987), pp. 173-177
  227. Verner, J. M.; Tate, G.: A Software Size Model. . IEEE Transactions on Software Engineering, 18(1992)4, S. 265-277
  228. Verner, J. M.; Evanco, W. M.: State of the practice of effort estimation in business environments. Proc. of the ESCOM-SCOPE 2000, April 2000, Munich, Germany, Shaker Publ., pp. 229-237
  229. Ververs, F.; Pronl, C.: On the Interaction Between Metrics and Patterns.Proc. of the OOIS'95, Dublin, Ireland, 18-20 Dec. 1995, pp. 303-314
  230. Vesterinen, P.: Issues in Calibrating Effort Estimation Models. Software Engineering Notes, 24(1999)3, pp. 63-65
  231. Victor, D.; Daily, K.: Software estimating at the task level - the SPECTRE approach. Proc. of the ESCOM 2001, April 2001, London, pp. 215-223
  232. Vollmann, S.: Effort estimation in the software engineering (German). IWT Publisher, Munich, 1990
  233. Vogelezang, F.: Best Practices in Software Cost Estimation; in Seufert/Ebert/Fehlmann/Pechlivanidis/Dumke: MetriKon 2015 - Praxis der Software-Messung, Shaker-Verlag, Aachen, 2015, S. 263
  234. Wakayama, H.; Takahashi, R.: A Software Development Cost Estimation Method Based on Software Classification. Proceedings of the Third International Confenrence on Software Quality, Lake Tahoe, Nevada, 4-6 October 1993, pp. 207-214
  235. Walston, C.E.; Felix, C.P.: A method of programming measurement and estimation. IBM System Journal, 1 (1977), pp. 54-75
  236. Walther C.: Analyse und Bewertung des Aufwandes der Systemsoftwarepflege. Diploma Thesis, University of Magdeburg, Germany, 2010
  237. Warburton, R.D.H.: Managing and Predicting the Costs of Real-Time Software. IEEE Transactions on Software Engineering, 9(1983)5, pp. 562-569
  238. Ward, R.: Estimating ERP developments. Proc. of the ESCOM 2001, April 2001, London, pp. 209-214
  239. Wellman, F.: Software Costing. Prentice Hall Inc., 1992
  240. Wieczorek, I.: Improved Software Cost Estimation - A Robust and Interpretable Modeling Method and a Comprehensive Empirical Investigation. Fraunhofer Institut IESE, Kaiserslautern: Germany: IESE Publ, 2001
  241. Wieczorek, I.; Ruhe, M.: How Valuable is Company-Specific Data Compared to Multi-Company Data for Software Cost Estimation. Proc. of the Eight IEEE Symposium on Software Metrics (METRICS 2002), June 4-7, 2002, Ottawa, Canada, pp. 237-247
  242. Wille, C.; Fiegler, A.; Neumann, R.; Dumke, R.R.: Evidence-Based Evaluation of Effort Estimation Methods. Proceedings of the IWSM-MENSURA 2011, November 3-4, 2011, Nara, Japan, IEEE Computer Society Los Alamitos, S. 196-208
  243. Wille, C.; Kuhl, W.; Dumke, R.; Kunz, M.: Evidenzbasierte Klassifikation und Bewertung von Aufwandschätzmethoden. In: A. Abran; G. Büren; R.R. Dumke; J.J. Cuadrado-Gallego; J. Münch: Applied Software Measurement. Shaker Verlag Aachen, S. 169-186
  244. Wille, C.; Schmietendorf, A.; Dumke R.: White Box Estimation - Theorie und Praxis. Softwaretechnik-Trends, 29(2009)2, S. 54-59
  245. Wood, A.: Predicting Software Reliability. IEEE Computer, Nov. 1996, pp. 69-77
  246. Wu, J.; Cai, X.: A Software Size Measurement Model for Large-Scale Business Applications. Proc. of the CSSE, May 13, Vancouver, 2008, S. 39-42 
  247. Xu, Z.; Khoshgoftaar, T.M.: Sofwtare quality prediction for high-assurance network telecommunications systems. The Computer Journal, 44(2001)6, pp. 557-568
  248. Yang, D.; Wang, Q.; Li, M.; Yang, Y.; Ye, K.; Du, J.: A Survey on Software Cost Estimation in the Chinese Software Industry. Proc. of the ESEM'08, Kaiserslautern, October 9-10, 2008, S. 253-262
  249. Yongqin, J.; Jun, L.; Jianming, L.; Qingzhang, C.: Software Project Cost Estimation Based On Groupware. Proc. of the WCSE 2009, May 19-21, 2009, Xiamen, China, S. 437-441
  250. Zuse, H.: Prediction Models and Software Complexity Measures From a Measurement Theoretic View. Proceedings of the Third International Confenrence on Software Quality, Lake Tahoe, Nevada, 4-6 October 1993, pp. 49-58

Cookie Einstellungen

Auf unserer Webseite werden Cookies verwendet. Einige davon werden zwingend benötigt, während es uns andere ermöglichen, Ihre Nutzererfahrung auf unserer Webseite zu verbessern. Wir bitten hiermit um Erlaubnis, die folgenden Cookies verwenden zu dürfen. Diese Einwilligung ist freiwillig, nicht für die Nutzung der Website erforderlich und kann jederzeit widerrufen werden.

Essentielle Cookies werden für grundlegende Funktionen der Webseite wie z.B. für die Anmeldung im Mitgliederbereich benötigt. Dadurch ist gewährleistet, dass die Webseite einwandfrei funktioniert.

Name omCookieConsent
Anbieter gi.de
Laufzeit 1 Jahr
Zweck Enthält die gewählten Tracking-Optin-Einstellungen.
Name fe_typo_user / PHPSESSID
Anbieter gi.de
Laufzeit aktuelle Session
Zweck Dieses Cookie ist ein Standard-Session-Cookie von TYPO3. Es speichert im Falle eines Benutzer-Logins die Session-ID. So kann der eingeloggte Benutzer wiedererkannt werden und es wird ihm Zugang zu geschützten Bereichen gewährt.

Diese Gruppe beinhaltet alle Skripte für analytisches Tracking und zugehörige Cookies. Es hilft uns die Nutzererfahrung der Website zu verbessern.

Name _pk_id.1.9dca
Anbieter Matomo
Laufzeit 13 Monate
Zweck Dieses Cookie wird von der Open-Source-Software Matomo für die statistische Auswertung der Besucherzugriffe verwendet.
Name _pk_ses.1.9dca
Anbieter Matomo
Laufzeit 30 Minuten
Zweck Dieses Cookie wird von der Open-Source-Software Matomo für die statistische Auswertung der Besucherzugriffe verwendet.