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Understanding the Dynamics of Requirements Process Improvement: A New Approach

  • Conference paper
Product-Focused Software Process Improvement (PROFES 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6759))

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Abstract

Many software development organizations invest heavily in the requirements engineering process programmes, and with good reason. They fail, however, to maximize a healthy return on investment.

This paper explores factors that influence requirements process improvement (RPI) with the aim to explain how the attributes of the underpinning process affect both the quality and associated costs of the requirements specification delivered to the customer. Although several tools and techniques have been proposed and used for RPIs, many lack a systematic approach to RPI or fail to provide RPI teams with the required understanding to assess their effectivity.

The authors contend that the developed quality-cost RPI descriptive model is a generic framework, discipline and language for an effective approach to RPI. This descriptive model allows a systematic enquiry that yields explanations and provides RPI stakeholders with a common decision making framework. The descriptive model was validated by practicing process improvement consultants and managers and makes a contribution towards understanding of the quality-cost dynamics of RPI. To address the acknowledged deficiencies of RPI, the authors further suggest a generic RPI model and approach that integrates statistical process control (SPC) into system dynamics (SD). The approach enables RPI teams to steer for a cost-effective and successful RPI.

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References

  1. April, A.A., Coallier, F.: Trillium V3.0: A Model for the Assessment of Telecom Software System Development Capability. In: 2nd International SPICE Symposium ASQRI, Griffith University, Australia, pp. 79–88 (1995)

    Google Scholar 

  2. Baldassarre, M.T., Boffoli, N., Caivano, D., Visaggio, G.: Managing software process improvement (SPI) through statistical process control (SPC). In: Bomarius, F., Iida, H. (eds.) PROFES 2004. LNCS, vol. 3009, pp. 30–34. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Beecham, S., Hall, T., Rainer, A.: Defining a Requirements Process Improvement Model. Software Quality 13, 247–279 (2005)

    Article  Google Scholar 

  4. Brinkkemper, S., van de Weerd, I., Saeki, M., Versendaal, J.: Process improvement in requirements management: A method engineering approach. In: Rolland, C. (ed.) REFSQ 2008. LNCS, vol. 5025, pp. 6–22. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  5. Caivano, D.: Continuous Software Process Improvement through Statistical Process Control. In: Proceedings of 9th European CSMR 2005 (2005)

    Google Scholar 

  6. Clempner, J.: A Hierarchical Decomposition of Decision Process Petri nets for Modeling Complex Systems. Int. J. Appl. Math. and Comp. Science 20(2), 349–366 (2010)

    MathSciNet  MATH  Google Scholar 

  7. Dorling, A.: SPICE: Software Process Improvement and Capability Determination. Software Quality Journal 2(4), 209–224 (1993)

    Article  Google Scholar 

  8. Ferreira, S., Collofello, J., Shunk, D., Mackulak, G.: Understanding the effects of requirements volatility in software engineering by using analytical modeling and software process simulation. Systems and Software 82(10), 1568–1577 (2009)

    Article  Google Scholar 

  9. Forrester, J.W.: System Dynamics and a lesson for 35 years. Sloan School of Management. MIT, Cambridge (1991)

    Google Scholar 

  10. Georgantzas, N., Fraser, J., Tugsuz, E.: Bipartisan process improvement in polymer coating: Combining SD with SPC. System Dynamics 2, 502–511 (1995)

    Google Scholar 

  11. Gibson, D.L., Goldenson, D.R., Kost, K.: Performance Results of CMMI-Based Process Improvement. Pittsburgh, SEI (August 2006)

    Google Scholar 

  12. Gustafsson, T., Ollila, M.: Expert consultation in the preparation of a national technology programme. Systems Analysis Laboratory, Helsinki University of Tech. (September 2003)

    Google Scholar 

  13. Harris, B., Williams, B.: System Dynamics Methodology. W.K. Kellogg Foundation (2005)

    Google Scholar 

  14. Heck, P., Klabbers, M.D., Van Eekelen, M.: A software product certification model. Software Quality Journal 18(1), 37–55 (2010)

    Article  Google Scholar 

  15. Linders, B.: Building Process Improvement Business Cases Using Bayesian Belief Networks and Monte Carlo Simulation,Tech. Report, CMU/SEI-2009-TN-017 (2009)

    Google Scholar 

  16. Ojala, P.: Combining Capability Assessment and Value Engineering: A BOOTSTRAP Example. In: 5th Int. Conference of Profes, Kansai City, Japan (2004)

    Google Scholar 

  17. Paulk, M.C.: Applying SPC to the Personal Software Process. Proc. 10th Intl. Conf. Software Quality (October 2001)

    Google Scholar 

  18. Rafferty, M.: Reductionism, Holism and System Dynamics. In: 8th SD PhD Colloquium (2007)

    Google Scholar 

  19. Rico, D.F.: ROI of Software Process Improvement: Metrics for Project Manaers and Software Engineers (2004) ISBN 1-932159-24-X

    Google Scholar 

  20. Ruhe, G., Eberlein, A., Pfhal, D.: Quantitative WinWin- A New Method for Decision Support in Requirements Negotiation. In: SEKE, Italy (July 2002)

    Google Scholar 

  21. Saurabh, K.: Software Development and Testing: A System Dynamics Simulation and Modeling Approach. In: 9th WSEAS-SEPADS, UK, February 20-22 (2010)

    Google Scholar 

  22. Serebrenik, A., Mishra, A., Delissen, T., Klabbers, M.D.: Requirements certification for offshoring using LSPCM. In: 7th IEEE Computer Society’s QUATIC 2010, September 29-October 2 (2010)

    Google Scholar 

  23. Statz, J.: Measure of Process Improvement. Technical Report on Practical Software and Systems Measurement (2005)

    Google Scholar 

  24. Williams, D.: Challenges of System Dynamics to Deliver RE Projects: faster, better and cheaper. In: 21st Int. Conf. of the System Dynamics Society (2003)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Zawedde, A.S.A., Klabbers, M.D.M., Williams, D.D., van den Brand, M.G.J.M. (2011). Understanding the Dynamics of Requirements Process Improvement: A New Approach. In: Caivano, D., Oivo, M., Baldassarre, M.T., Visaggio, G. (eds) Product-Focused Software Process Improvement. PROFES 2011. Lecture Notes in Computer Science, vol 6759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21843-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-21843-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21842-2

  • Online ISBN: 978-3-642-21843-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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