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Towards Comprehensive Experience-Based Decision Support

  • Conference paper
Software Process Improvement (EuroSPI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3281))

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Abstract

In today’s software development organizations, methods and tools are employed that frequently lack sufficient evidence regarding their suitability, limits, qualities, costs, and associated risks. The need to select the best-suited method, technique or tool in a given business context is becoming more and more important. From a business perspective the trade-off between time-to-market, quality, and cost is a crucial factor for the decision process. While new findings from research await their transfer into industrial practice, systematic assessment, selection and infusion of these findings with regard to business objectives and context is lacking. This paper presents ongoing research towards the development of a decision support system that aims at improving software engineering technology selection by software managers with regard to business goals. The focus of this paper is on presenting the problems at hand, the idea for a comprehensive decision support, and discussing the results of the requirements analysis process.

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Author information

Authors and Affiliations

  1. Fraunhofer Institute Experimental Software Engineering, Sauerwiesen 6, 67661, Kaiserslautern, Germany

    Andreas Jedlitschka & Dietmar Pfahl

Authors
  1. Andreas Jedlitschka
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  2. Dietmar Pfahl
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Editor information

Editors and Affiliations

  1. SINTEF Information and Communication Technology,  

    Torgeir Dingsøyr

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© 2004 Springer-Verlag Berlin Heidelberg

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Jedlitschka, A., Pfahl, D. (2004). Towards Comprehensive Experience-Based Decision Support. In: Dingsøyr, T. (eds) Software Process Improvement. EuroSPI 2004. Lecture Notes in Computer Science, vol 3281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30181-3_4

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  • DOI: https://doi.org/10.1007/978-3-540-30181-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23725-9

  • Online ISBN: 978-3-540-30181-3

  • eBook Packages: Springer Book Archive

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