Skip to main content

Quantitatives Entwicklungsmanagement

  • Chapter
  • First Online:
Quantitatives Entwicklungsmanagement

Zusammenfassung

Entwicklungsmanagement im Allgemeinen umfasst ein breites Spektrum an Teildisziplinen, die sich alle im weitesten Sinne mit der Produktentwicklung beschäftigen (Ophey 2005). Dies reicht vom Wissensmanagement im Unternehmen über das Innovationsmanagement bis hin zum Prozess- und Projektmanagement. Die genannten Bereiche unterscheiden sich in erster Linie in ihrem Betrachtungsgegenstand. Ziel des Wissensmanagements ist die Erweiterung, der Austausch und die Konservierung des Wissens der Ingenieure, um dieses auch nachfolgenden Generationen und Mitarbeitern zur Verfügung zu stellen. Das Innovationsmanagement strebt die Generierung neuer Produktideen an, um möglichst viele innovative und profitable Produkte an den Markt zu bringen. Das Prozess- und Projektmanagement hingegen optimiert Methoden und Abläufe der Produktentwicklung, um möglichst kostengünstig qualitativ hochwertige Produkte zu entwickeln.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.95
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 64.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Diese Abkürzung ist in Rahmen von EVA nicht üblich und wird hier lediglich zu Vereinfachung der Erläuterung der Kostenmodelle bei BCWS (Budgeted Cost of Work Scheduled) verwendet.

  2. 2.

    http://www.mathworks.de/products/featured/early-verification/index.html.

Literatur

  • Ahn, J.-S., Ramaswamy, S. und Crawford. R H. „A formalism for modeling engineering design processes“. IEEE Transactions on Systems, Man and Cybernetics (SMC), Juli 1996.

    Google Scholar 

  • Aigner, D., C., Lovell, A.K. und Schmidt, P.: „Formulation and estimation of stochastic frontier production function models“. Journal of econometrics 6 (1): 21–37, 1977

    Article  MathSciNet  MATH  Google Scholar 

  • Akao, Y. QFD-Quality Function Deployment. Verlag Moderne Industrie, Landsberg/Lech 1992

    Google Scholar 

  • Al-Kilidar, H., Parkin.P., Aurum, A., Jeffery, A.R. Evaluation of Effects of Pair Work on Quality of Designs. Australian Software Engineering Conference, 2005

    Google Scholar 

  • Anderl, R.n Trippner, D. (Hrsg.) SETP – Standard for the Exchange of Product Model Data, Teubner, 2000.

    Google Scholar 

  • ARP4754, Certification considerations for highly integrated or complex aircraft systems. EUROCAE ED-79 and SAE Aerospace Recommended Practice ARP 4754, 1996

    Google Scholar 

  • Boehm, B.W., Brown, J.R, Kaspar, H., Lipow, M., MacLeod, G.J. und Merritt, M.J. Characteristics of Software Quality. North Holland Publishing Company, 1978.

    Google Scholar 

  • Bøegh, J., De Panfilis, S., Kitchenham, B., Pasquini, A.A Method for Software Quality Planning, Control, and Evaluation. IEEE Software 16(2): 69–77, 1999

    Article  Google Scholar 

  • Briand, L., Morasca, S. und Basili, V.R. „Goal-Driven Definition of Product Metrics Based on Properties“ 2008

    Google Scholar 

  • Broy, M., Deissenböck, F. und Pizka, M. „A Holistic Approach to Software Quality at Work“. In Proceedings of the 3rd World Congress for Software Quality, 2005.

    Google Scholar 

  • Broy, M., Deißenböck, F.und Pizka, M. „Demystifying Maintainability“. In Proceedings of the 4th Workshop on Software Quality, 21–26, 2006.

    Google Scholar 

  • Bürgel, H.D. Controlling von Forschung und Entwicklung. Erkenntnisse und Erfahrungen aus der Praxis. 1. Aufl. Vahlen Franz GmbH, 1989.

    Google Scholar 

  • Charnes, A.W., Cooper, W.W., Rhodes, E. Measuring the efficiency of decision-making units," European Journal of Operational Research vol. 2, pp. 429–444, 1978

    Google Scholar 

  • Clarke, E., Grumberg, O. und Long, D. „Model Checking and Abstraction“. TOPLAS 86, Nr. 16 (1994): 1512–1542.

    Google Scholar 

  • Clarke, E., Grumberg, O. und Peled, D. Model Checking. MIT Press, 1999.

    Google Scholar 

  • Coelli, T. J., Dodla Sai Prasada Rao, O’Donnell, C.J. und Battese, G. E. An Introduction to Efficiency and Productivity Analysis. 2. Aufl., Springer, 2005.

    Google Scholar 

  • Crosby, P. B. Quality is free, Reissue Edition. Signet, 1980.

    Google Scholar 

  • Crosby, P. B. Quality Without Tears: The Art of Hassle-Free Management. McGraw-Hill, 1995.

    Google Scholar 

  • Deißenböck, F., Wagner, S., Pizka, M., Teuchert, S. und Girard, J.-F. „An Activity-Based Quality Model for Maintainability“. In Proceedings of the 23rd IEEE International Conference on Software Maintenance (ICSM ’07), 184–193, 2007.

    Google Scholar 

  • Deißenböck, F., Jürgens, E., Hummel, B., Wagner, S., Masy Parareda, B. und Pizka, M. „Tool Support for Continuous Quality Control“. IEEE Software 25, Nr. 5 (September 2008): 60–67.

    Google Scholar 

  • Deming, W. E. Out of the Crisis. MIT Press, 2000.

    Google Scholar 

  • Dromey, G. A Model for Software Product Quality, IEEE Transactions on Software Engineering, vol. 21, no. 2, pp. 146–162, February , 1995.

    Google Scholar 

  • Eversheim, W., Breuer, T. und Grawatsch, M. 2001. Combining the scenario technique with QFD and TRIZ to a product innovation methodology. World Conference TRIZ Future, Bath, 2001

    Google Scholar 

  • ECSS-E-ST-80C Space Engineering – Software product assurance. European Cooperation for Space Standardization, 2009.

    Google Scholar 

  • ECSS-E-ST-40C Space Engineering – Software. European Cooperation for Space Standardization, 2009.

    Google Scholar 

  • ECSS-E-ST-10C. Space Engineering – System engineering general requirements. European Cooperation for Space Standardization, 2009.

    Google Scholar 

  • Farrell, M. J. „The Measurement of Productive Efficiency“. Journal of the Royal Statistical Society. Series A (General) 120, Nr. 3 (1957): 253–290.

    Google Scholar 

  • Fitting, M. First-Order Logic and Automated Theorem Proving. 2. Aufl. Springer, 1996.

    Google Scholar 

  • Fleming, Q. W., und Koppelman, J. M. Earned Value Project Management. 3. Aufl. Project Management Institute, 2006.

    Google Scholar 

  • Garvin, D. A. „What does product quality really mean?“ MIT Sloan Management Review 26, Nr. 1 (1984): 25–43.

    Google Scholar 

  • Geiger, W. „Qualität als Fachbegriff des Qualitätsmanagements“. In Grundlagen des Qualitätsmanagements, herausgegeben von Zollondz, 801–810. Oldenbourg, 2001.

    Google Scholar 

  • Gilmore, H.L. „Product Conformance Cost“. Quality Progress (1974): 16–19.

    Google Scholar 

  • Grady, R.B., und Caswell, D.L. Software Metrics: Establishing a Company-Wide Program. Prentice Hall, 1987.

    Google Scholar 

  • Harrington, H. J. Business Process Improvement: The Breakthrough Strategy for Quality, Productivity, Competitiveness. McGraw-Hill Professional, 1991.

    Google Scholar 

  • Hauser, J. R., und Zettelmeyer, F. Metrics to evaluate R, D&E. Sloan Working Paper # 3934, Sloan School of Management. Massachusetts Institute of Technology (MIT), Oktober 1996.

    Google Scholar 

  • Horváth, P. Controlling. 10. Aufl. Vahlen, 2006.

    Google Scholar 

  • Humphreys, G. C. Project Management Using Earned Value. 1. Aufl. Humphreys & Assoc., 2002.

    Google Scholar 

  • Hyatt, L. und Rosenberg, L. „A software quality model and metrics for identifying project risks and assessing software quality“. In Proceedings of 8th Annual Software Technology Conference, 1996.

    Google Scholar 

  • INCOSE, Measurement Working Group. Systems Engineering Measurement Primer: A Basic Introduction to Systems Engineering MeasurementConcepts and Use, International Council on Systems Engineering (INCOSE), 1998.

    Google Scholar 

  • ISO 9000:2005-12 Qualitätsmanagementsysteme – Grundlagen und Begriffe, 2005

    Google Scholar 

  • ISO/DIS 26262: Road Vehicles – Functional Safety, International Standard. ISO/IEC, 2005.

    Google Scholar 

  • ISO/IEC 14598: Information Technology – Software Product Evaluation. ISO/IEC, 1999.

    Google Scholar 

  • ISO/IEC 15939: Systems and software engineering – Measurement process. ISO/IEC, 2007.

    Google Scholar 

  • ISO/IEC 25000:2005, Software Engineering – Software Product Quality Requirements and Evaluation (SQuaRE)—Guide to SQuaRE. ISO/IEC, 2005.

    Google Scholar 

  • ISO/IEC 9126-1 Software engineering- Product quality- Part 1: Quality model. ISO/IEC, 2001.

    Google Scholar 

  • ISO/IEC 9126-3 Software engineering -Product quality- part 3: Internal metrics. ISO/IEC, 2002.

    Google Scholar 

  • ISO/IEC 9126-4 Software engineering -Product quality- part 4: Quality In Use metrics. ISO/IEC, 2002.

    Google Scholar 

  • ISO/IEC: ISO/IEC 9126-2 Software engineering -Product quality- part 2: External metrics. ISO/IEC, 2002.

    Google Scholar 

  • ISO WS 29148.3 Systems and software engineering – Life cycle processes – Requirements engineering, 2011

    Google Scholar 

  • Jungkunz, R. M. PDM-basierte Überwachung komplexer Entwicklungsprojekte. München: Herbert Utz Verlag, 2005.

    Google Scholar 

  • Juran, J.M. und Defeo, J. Quality Handbook – The Complete Guide to Performance Excellence. 6. Aufl. McGraw-Hill, 2010.

    Google Scholar 

  • Katasonov, A. und Sakkinen, M. „Requirements Quality Control: A Unifying Framework“. Requirements Engineering 11, Nr. 1 (2006): 42–57.

    Google Scholar 

  • Kerssens-van Drongelen, I. C., und Bilderbeek, J. „R&D performance measurement: more than choosing a set of metrics“. R and D Management 29, Nr. 1 (Januar 1999): 35–46.

    Google Scholar 

  • Kreimeyer, M. A. Structural Measurement System for Engineering Design Processes, Dissertation Fakultät für Maschinenwesen, TUM, München, 2010.

    Google Scholar 

  • http://mediatum.ub.tum.de/node?id = 813274

  • Manso, M. E., Marcela, G. und Piattini, M. „No-redundant Metrics for UML Class Diagram Structural Complexity“. In Advanced Information Systems Engineering, Vol. 2681:127–142. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

    Google Scholar 

  • Martin, R. A., und Shafer, L. H. „Providing a Framework for Effective Software Quality Assessment – A First Step In Automating Assessments“. In Proceedings of the first Annual Software Engineering & Economics Conference. McLean, 1996.

    Google Scholar 

  • McCabe, T.J., A Complexity Measure, Software Engineering, IEEE Transactions on, vol.SE-2, no.4, pp. 308–320, Dec.1976.

    Google Scholar 

  • Meeusen, W., van Den Broeck, J. „Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error“. International Economic Review 18 (2) (Juni): 435–444, 1977.

    Google Scholar 

  • Moody, D. L. „Metrics for Evaluating the Quality of Entity Relationship Models“. In Object-Oriented and Entity-Relationship Modelling/International Conference on Conceptual Modeling/ the Entity Relationship Approach, 211–225, 1998.

    Google Scholar 

  • Moody, D. L. „Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions“. Data & Knowledge Engineering 55, Nr. 3 (2005): 243–276.

    Google Scholar 

  • Ophey, L. Entwicklungsmanagement, Springer, 2005

    Google Scholar 

  • Ojanen, V., und Vuola, O. „Coping with the multiple dimensions of R&D performance analysis“. International Journal of Technology Management 33, Nr. 2 (2006): 279–290.

    Article  Google Scholar 

  • Pahl, G., Beitz, W., Feldhusen, J. und Grote, K.-H. Pahl/Beitz Konstruktionslehre : Grundlagen erfolgreicher Produktentwicklung. Methoden und Anwendung. Berlin: Springer, 2006.

    Google Scholar 

  • Paquin, J.P., Couillard, J. und Ferrand, D.J. : Assessing and Controlling the Quality of a Project End Product: The Earned Quality Method. In IEEE Transactions on Engineering Management, 47(1): S.88–89, 2000

    Google Scholar 

  • Park, R.E., Goethert, W.B. und Florac, W.A.: Goal-driven Software Measurement – A Guidebook.Technical Report CMU/SEI-96-HB-002. Software Engineering Institute, Carnegie Mellon University, Pittsburgh, 1996

    Google Scholar 

  • Piattini, M., Genero, M., Poels, G. und Nelson, J. „Towards A Framework for Conceptual Modelling Quality“. In Metrics For Software Conceptual Models. Imperial College Press, 2005.

    Google Scholar 

  • Project Management Institute. A Guide To The Project Management Body Of Knowledge (PMBOK Guides): 4. Aufl. Project Management Institute, 2008.

    Google Scholar 

  • Rosenberg, J. „Some Misconceptions About Lines of Code“. In Software Metrics, IEEE International Symposium on, 137. Los Alamitos, CA, USA: IEEE Computer Society, 1997.

    Google Scholar 

  • Rothlauf, J. Total Quality Management in Theorie und Praxis. 3. Aufl. Oldenbourg, 2010.

    Google Scholar 

  • Royce, W. W. „Managing the development of large software systems“. In Proceedings of IEEE Wescon, 26:9, 1970.

    Google Scholar 

  • Saatweber, J. Kundenorientierung durch Quality Function Deployment, Symposion, Düsseldorf, 2011.

    Google Scholar 

  • Sommerville, I. Software engineering. 8. Aufl. Pearson Education, 2007.

    Google Scholar 

  • Stahl, T., Völter, M., Effting, S. „Modellgetriebene Softwareentwicklung. Techniker, Engineering, Management“, Dpunkt-Verlag, Heidelberg, 2007.

    Google Scholar 

  • Stelzer, D. und Bratfisch, W. „Earned-Value-Analyse – Controlling-Instrument für IT-Projekte und IT-Projektportfolios“. HMD – Praxis der Wirtschaftsinformatik, Nr. 254 (2007): 61–70.

    Google Scholar 

  • Toutenburg, H. und Knöfel, P. Six Sigma – Methoden und Statistik für die Praxis. 2. Aufl. Springer, 2009.

    Google Scholar 

  • VDI 2221 Methodik zum Entwickeln und Konstruieren technischer Systeme und Produkte. VDI- Verlag, Düsseldorf, 1993.

    Google Scholar 

  • Wagner, S., Broy, M., Deißenböck, F., Kläs, M., Liggesmeyer, P., Münch, J., und Streit, J. „Softwarequalitätsmodelle: Praxisempfehlungen und Forschungsagenda“. Informatik-Spektrum 33, Nr. 1 (2010): 37–44.

    Google Scholar 

  • Wagner, S. und Deißenböck, F. „An Integrated Approach to Quality Modelling“. In Proceedings of the 5th Workshop on Software Quality (WoSQ ’07), 2007.

    Google Scholar 

  • Wallace, D. und Reeker, L. „Software Quality“. In In Guide to the Soft-ware Engineering Body of Knowledge SWEBOK, herausgegeben von A. Abram und P. Bourque, 165–184, 2001.

    Google Scholar 

  • Weinberg, G. M. Quality Software Management: Systems Thinking. Dorset House, 1991.

    Google Scholar 

  • Winter, S., Wagner, S. und Deißenböck, F. „A Comprehensive Model of Usability“. In Proceedings of Engineering Interactive Systems (EIS ’07), 106–122, 2007.

    Google Scholar 

  • Ziegenbein, Klaus. Controlling. Kompendium der praktischen Betriebswirtschaft. 8. Aufl. Kiehl Friedrich Verlag GmbH, 2004.

    Google Scholar 

  • Zollondz, H.D. Grundlagen des Qualitätsmanagements. 2. Aufl. Oldenbourg, 2006.

    Google Scholar 

  • Fagan, M.E. Design and code inspections to reduce errors in program development. IBM Systems Journal, 15(3): S.182-211, 1976

    Google Scholar 

  • McCall, J. und Walters, G. Factors in Software Quality. The National Technical Information Service, Springfield, VA, USA, 1977

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Axel Hahn .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Hahn, A., Häusler, S., große Austing, S. (2013). Quantitatives Entwicklungsmanagement. In: Quantitatives Entwicklungsmanagement. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34510-4_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34510-4_2

  • Published:

  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34509-8

  • Online ISBN: 978-3-642-34510-4

  • eBook Packages: Computer Science and Engineering (German Language)

Publish with us

Policies and ethics