Abstract
What is the impact of new design methodologies and methods on the industrial product development process and its productivity? This is one of the key questions for today’s industrial engineering companies when they decide on the introduction of new methods or tools, as well as for researchers and tool providers when they assess their ideas and work. A quantitative (at best monetary) assessment of a new design method’s value and impact will increase a manager’s decision basis significantly and will lead to well directed investments in process optimisations.
It is not sufficient to analyse the impact of a new design method just for the specific process step it is applied to. Implications on following steps, sometimes on the whole engineering process must be considered as well. Furthermore, decisions on the use of new design methods must be made on a multi-criteria basis through the well-known cost/time/quality triangle (e.g. Burghardt, 2006).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abdel-Hamid TK, Madnick SE (1991) Software project dynamics: An integrated approach. Prentice Hall, Englewood Cliffs, NJ, US
Bryman A (2008) Social research methods. Oxford University Press, Oxford, UK
Burghardt M (2006) Projektmanagement: Leitfaden für die planung, überwachung und steuerung von entwicklungsprojekten. Publicis Corporate Publishing. Erlangen, Germany
Creswell JW (2002) Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications Ltd, Thousand Oaks, CA, US
Deissenboeck F, Pizka M (2007) The economic impact of software process variations. Software Process Dynamics and Agility. Springer, Berlin, Germany, pp 259-271
Hannay JE, Sjoberg DIK, Dyba T (2007) A systematic review of theory use in software engineering experiments. IEEE Transactions on Software Engineering 33(2): 87-107
Hassine A, Barke E (2008) On modelling and simulating chip design processes: The RS Model. IEEE International Engineering Management Conference - Europe (IEMC-Europe), Estoril, Portugal
Häusler S, Buschermöhle R, Koppe R, Hahn A (2009) Towards process change impact analysis in industrial engineering. In: Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009), Hong Kong, China, pp 1489-1493
Kuipers B, Berleant D (1988) Using incomplete quantitative knowledge in qualitative reasoning. In: Proceedings of the National Conference on Artificial Intelligence (AAAI-88), Los Altos, CA, US
Mastretti M, Busi ML, Sarvello R, Sturlesi M, Tomasello S (1995) VHDL quality: Synthesizability, complexity and efficiency evaluation. In: Proceedings of the Design Automation Conference (EURO-DAC’95), Brighton, UK, pp 482-487
Muller M, Pfahl D (2008) Simulation methods. Guide to advanced empirical software engineering. Springer, London, UK, pp 117-152
Münch J, Pfahl D, Rus I (2005) Virtual software engineering laboratories in support of trade-off analyses source. Software Quality Control 13(4): 407-428
Object Management Group (2008) Software & Systems Process Engineering Meta-Model Specification 2.0. Available at: http://www.omg.org/spec/spem/2.0/pdf
Raffo DM (1993) Evaluating the impact of process improvements quantitatively using process modelling. In: Proceedings of the Conference of the Centre for Advanced Studies on Collaborative Research (CASCON’93), Toronto, Canada, pp 290-313
Raffo DM (1999) Getting the benefits from software process simulation. In: Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE’99), Kaiserlautern, Germany
Raffo DM, Kaltio T, Partridge D, Phalp K, Ramil, JF (1999) Empirical studies applied to software process models. Empirical Software Engineering 4(4): 353-369
Rombach HD (1999) Experimentation engine for applied research and technology in software engineering. In: Proceedings of NASA’s 24th Annual Software Engineering Workshop, Greenbelt, MD, US
Rombach HD, Basili VR, Selby RW (1993) Experimental software engineering issues: Critical assessment and future directions. In: Proceedings of the International Workshop on Experimental Software Engineering Issues: Critical Assessment and Future Directions. Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany
Rus I, Neu H, Münch J (2003) A systematic methodology for developing discrete event simulation models of software development processes. In: Proceedings of the 4th International Workshop on Software Process Simulation and Modeling, Portland, OR, US
Sjoeberg DIK, Hannay JE, Hansen O, Kampenes VB, Karahasanovic A, Liborg NK et al. (2005) A survey of controlled experiments in software engineering. IEEE Transactions on Software Engineering 31(9): 733-753
Taká M (1997) Fixed point classification method for qualitative simulation. In: Proceedings of the 8th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence. Lecture Notes in Computer Science, Springer-Verlag, Berlin, Germany, pp 255-266
Yin RK (1994) Case study research: Design and methods. Sage Publications. Thousand Oaks, CA, US
Zhang H, Kitchenham B, Pfahl D (2008a) Reflections on 10 Years of software process simulation modelling: A systematic review. In: Proceedings of the International Conference on Software Process (ICSP’08), Leipzig, Germany
Zhang H, Keung J, Kitchenham B, Jeffery R (2008b) Semi-quantitative modelling for managing software development processes. In: Proceedings of the 19th Australian Software Engineering Conference, Perth, Australia, pp 66-75
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag London Limited
About this paper
Cite this paper
Koppe, R., Häusler, S., Poppen, F., Hahn, A. (2010). Process Model Based Methodology for Impact Analysis of New Design Methods. In: Heisig, P., Clarkson, P., Vajna, S. (eds) Modelling and Management of Engineering Processes. Springer, London. https://doi.org/10.1007/978-1-84996-199-8_5
Download citation
DOI: https://doi.org/10.1007/978-1-84996-199-8_5
Publisher Name: Springer, London
Print ISBN: 978-1-84996-198-1
Online ISBN: 978-1-84996-199-8
eBook Packages: EngineeringEngineering (R0)