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Exploring How Feature Usage Relates to Customer Perceived Value: A Case Study in a Startup Company

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Software Business. From Physical Products to Software Services and Solutions (ICSOB 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 150))

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Abstract

Most of the business value of a software product comes from only a small proportion of its features. Product managers face the challenge of identifying the high value features in an application and weeding out the ones of low value from the next releases. What creates this challenge is the fact that customer perceived value is an attribute, dimensions of which are not well-known yet. Currently, software companies try to assess the value of features through interviewing a number of key stakeholders. However, the literature suggests that, this kind of evaluation could be misleading due to stakeholders having different understanding of what value refers to. In this paper, through an exploratory case study, we investigate how usage of features relate to their perceived value and shed light into the factors affecting this relationship. The results show that feature usage metric has a significant potential to estimate value of features.

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References

  1. Boehm, B.: Value-based software engineering. In: Software Engineering Notes (2003)

    Google Scholar 

  2. Mohamed, S.I., Wahba, A.M.: Value estimation for software product management. In: Industrial Engineering and Engineering Management (2008)

    Google Scholar 

  3. Vahaniitty, J.: Key decisions in strategic new product development for small software product businesses. In: Euromicro Conference (2003)

    Google Scholar 

  4. Berry, M., Aurum, A.: Measurement and decision making. In: Value-Based Software Engineering (2006)

    Google Scholar 

  5. Egyed, A., Biffl, S., Heindl, M., Grünbacher, P.: A value-based approach for understanding cost-benefit trade-offs during automated software traceability. In: Proceedings of the 3rd International Workshop on Traceability in Emerging Forms of Software Engineering (2005)

    Google Scholar 

  6. Boehm, B.: Value-based software engineering: reinventing. In: ACM SIGSOFT Software Engineering Notes (2003)

    Google Scholar 

  7. Bauer, H.H., Hammerschmidt, M., Braehler, M.: The customer lifetime value concept and its contribution to corporate valuation. In: Yearbook of Marketing and Consumer Research (2003)

    Google Scholar 

  8. Park, Y., Park, G.: A new method for technology valuation in monetary value: procedure and application. In: Technovation (2004)

    Google Scholar 

  9. Barney, S., Aurum, A., Wohlin, C.: A product management challenge: Creating software product value through requirements selection. Journal of Systems Architecture (2008)

    Google Scholar 

  10. Rönkkö, M., Frühwirth, C., Biffl, S.: Integrating value and utility concepts into a value decomposition model for value-based software engineering. In: Bomarius, F., Oivo, M., Jaring, P., Abrahamsson, P. (eds.) PROFES 2009. LNBIP, vol. 32, pp. 362–374. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  11. Bullock, J.: Calculating the value of testing: How to present testing as a business process investment. Software Testing and Quality Engineering (2000)

    Google Scholar 

  12. Saaty, T.L., Vargas, L.G.: Models, methods, concepts and applications of the analytic hierarchy process. Springer (2001)

    Google Scholar 

  13. Ahmad, A., Shahzad, A., Padmanabhuni, V.K., Mansoor, A., Joseph, S., Arshad, Z.: Requirements prioritization with respect to Geographically Distributed Stakeholders. In: Computer Science and Automation Engineering (2011)

    Google Scholar 

  14. Karlsson, L., Berander, P., Regnell, B., Wohlin, C.: Requirements prioritisation: an experiment on exhaustive pair-wise comparisons versus planning game partitioning. In: Empirical Assessment in Software Engineering (2004)

    Google Scholar 

  15. Ulaga, W., Chacour, S.: Measuring customer-perceived value in business markets: a prerequisite for marketing strategy development and implementation. In: Industrial Marketing Management (2001)

    Google Scholar 

  16. Greer, D., Ruhe, G.: Software release planning: An evolutionary and iterative approach. In: Information and Software Technology (2004)

    Google Scholar 

  17. Aurum, A., Wohlin, C.: Aligning requirements with business objectives: A framework for requirements engineering decisions. In: Proceedings of Requirements Engineering Decision Support Workshop (2005)

    Google Scholar 

  18. Park, T., Kim, K.J.: Determination of an optimal set of design requirements using house of quality. Journal of Operations Management (1998)

    Google Scholar 

  19. Woodruff, R.B.: Customer value: the next source for competitive advantage. Journal of the Academy of Marketing Science (1997)

    Google Scholar 

  20. Aurum, A., Wohlin, C.: A value-based approach in requirements engineering: Explaining some of the fundamental concepts. In: Sawyer, P., Heymans, P. (eds.) REFSQ 2007. LNCS, vol. 4542, pp. 109–115. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  21. Wohlin, C., Aurum, A.: What is important when deciding to include a software requirement in a project or release? In: International Symposium on Empirical Software Engineering (2005)

    Google Scholar 

  22. Wohlin, C., Aurum, A.: Criteria for selecting software requirements to create product value: An industrial empirical study. In: Value-Based Software Engineering (2006)

    Google Scholar 

  23. Kortge, G.D., Okonkwo, P.A.: Perceived value approach to pricing. In: Industrial Marketing Management (1993)

    Google Scholar 

  24. Doll, W.J., Torkzadeh, G.: Developing a multidimensional measure of system-use in an organizational context. Information and Management (1998)

    Google Scholar 

  25. Burton-Jones, A., Gallivan, M.J.: Toward a deeper understanding of system usage in organizations: A multilevel perspective. Mis Quarterly (2007)

    Google Scholar 

  26. Sun, H.: Understanding User Revisions When Using Information System Features: Adaptive System Use and Triggers. MIS Quarterly-Management Information Systems (2012)

    Google Scholar 

  27. OpenSpan Desktop Analytics, http://www.openspan.com/products/desktop_analytics (last visited on November 27, 2012)

  28. Google Analytics, http://www.google.com/analytics (last visited on November 27, 2012)

  29. Microsoft Spy++, http://msdn.microsoft.com/en-us/library/aa232254v=vs.60.aspx (last visited on November 27, 2012)

  30. Atterer, R., Wnuk, M., Schmidt, A.: Knowing the users every move: user activity tracking for website usability evaluation and implicit interaction. In: Proceedings of the International Conference on World WideWeb (2006)

    Google Scholar 

  31. Eisenbarth, T., Koschke, R., Simon, D.: Locating Features in Source Code. IEEE Computer (2003)

    Google Scholar 

  32. ISO/IEC TR 9126-4, Software engineering – Product quality – Part 4: Quality in use metrics (2004)

    Google Scholar 

  33. Runeson, P., Host, M.: Guidelines for conducting and reporting case study research in software engineering. Empirical Software Engineering (2009)

    Google Scholar 

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Marciuska, S., Gencel, C., Abrahamsson, P. (2013). Exploring How Feature Usage Relates to Customer Perceived Value: A Case Study in a Startup Company. In: Herzwurm, G., Margaria, T. (eds) Software Business. From Physical Products to Software Services and Solutions. ICSOB 2013. Lecture Notes in Business Information Processing, vol 150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39336-5_16

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  • DOI: https://doi.org/10.1007/978-3-642-39336-5_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39335-8

  • Online ISBN: 978-3-642-39336-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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