Abstract
Knowledge-based applications are characterized by their use of machine-understandable formalizations of expert knowledge. Complex knowledge structures, and the features which exploit them, can have a significant effect on the effort needed to develop such applications. Means to estimate this effort are, however, lacking. Furthermore, precise benefits of such applications, which are directly attributed to specific functionalities, remain unknown.
In this paper we propose a preliminary Framework for Value Prediction whose intention is to study and to effectively predict the development effort as well as benefits of knowledge-based applications. The framework consists of five pillars which act as a road map to propose well-defined models. We furthermore discuss our initial experiences with using the framework to adapt existing software cost and benefit estimation models.
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
Imtiaz, A., Giernalczyk, A., Davies, J., Kings, N.J., Thurlow, I.: Cost, Benefit Engineering for Collaborative Knowledge Creation within Knowledge Workspaces. In: Collaboration and the Knowledge Economy. IOS Press, Amsterdam (2008)
Boehm, B.W., Abts, C., Clark, B., Devnani-Chulani, S.: Cocomo II model definition manual (1997)
Bürger, T., Simperl, E.: Measuring the Benefits of Ontologies. In: Proc. of Ontology Content and Evaluation in Enterprise, (OntoContent 2008) (2008)
Quadt, A., Laing, P., Forzi, T., Bleck, S.: Development of approaches and mobile business solutions for field service. In: Proc. of the 8th Int. Workshop on Mobile Multimedia Communications (2003)
Rhensius, T., Dünnebacke, D.: An integrated approach for the planning and evaluation of Auto-ID applications. In: Proc. of the European Workshop on RFID Systems and Technologies, pp. 1–6 (2008)
Wigg, K.M.: Knowledge management: an introduction and perspective. Journal of Knowledge Management 1(1), 6–14 (1997)
Teas, R.K., Agarwal, S.: The Effects of Extrinsic Product Cues on Consumers’ Perceptions of Quality, Sacrifice, and Value. Journal of the Academy of Marketing Science 28(2), 278–290 (2000)
Knight, S., Burn, J.: Developing a Framework for Assessing Information Quality on the World Wide Web. Informing Science Journal 8 (2005)
Denne, M.J.: Demonstrating IT Payoff 01 (2007), http://www.cio.com
Denne, M.J.: Chargeback Demonstrates IT Value in the enterprise 01 (2007), http://www.cio.com
Cherubin, S., Terribile, K.: Business Analysts: A Key to Companies’ Success 08 (2008), http://www.cio.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Imtiaz, A., Bürger, T., Popov, I.O., Simperl, E. (2009). Framework for Value Prediction of Knowledge-Based Applications. In: Abramowicz, W., Flejter, D. (eds) Business Information Systems Workshops. BIS 2009. Lecture Notes in Business Information Processing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03424-4_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-03424-4_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03423-7
Online ISBN: 978-3-642-03424-4
eBook Packages: Computer ScienceComputer Science (R0)