Early Value Argumentation and Prediction : An Iterative Approach to Quantifying Feature Value

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Early Value Argumentation and Prediction : An Iterative Approach to Quantifying Feature Value

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Publication Conference Paper, peer reviewed
Title Early Value Argumentation and Prediction : An Iterative Approach to Quantifying Feature Value
Author(s) Fabijan, Aleksander ; Holmström Olsson, Helena ; Bosch, Jan
Date 2015
Editor(s) Abrahamsson, Pekka; Corral, Luis; Markku, Oivo; Russo, Barbara
English abstract
Companies are continuously improving their practices and ways of working in order to fulfill always-changing market requirements. As an example of building a better understanding of their customers, organizations are collecting user feedback and trying to direct their R&D efforts by e.g. continuing to develop features that deliver value to the customer. We (1) develop an actionable technique that practitioners in organizations can use to validate feature value early in the development cycle, (2) validate if and when the expected value reflects on the customers, (3) know when to stop developing it, and (4) identity unexpected business value early during development and redirect R&D effort to capture this value. The technique has been validated in three experiments in two cases companies. Our findings show that predicting value for features under development helps product management in large organizations to correctly re-prioritize R&D investments.
DOI http://dx.doi.org/10.1007/978-3-319-26844-6_2 (link to publisher's fulltext)
Publisher Springer
Host/Issue Product-Focused Software Process Improvement;
Series/Issue Lecture Notes in Computer Science;9459
ISSN 0302-9743
ISBN 978-3-319-26843-9
978-3-319-26844-6
Pages 16-23
Language eng (iso)
Subject(s) Continuous experimentation
EVAP
QCD
Data-driven development
Customer-driven development
Technology
Research Subject Categories::TECHNOLOGY
Note 16th International Conference, PROFES 2015 Bolzano, Italy, December 2-4, 2015
Handle http://hdl.handle.net/2043/19790 (link to this page)
Link http://profes2015.inf.unibz.it/ (external link to related web page)

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