Feature Prioritization Based on Mock Purchase: A Mobile Case Study

Alexander-Derek Rein, Jürgen Münch

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


As development teams’ resources are limited, selecting the right features is of utmost importance. Often, features are considered right if they result in increased business value at acceptable implementation cost. Predicting implementation cost and prioritizing features is well documented in literature. However, there has only been little work on the prediction of business value. This article presents an approach for feature proioritization that is based on mock-purchases. Considering several limitations, the approach allows key stakeholders to depict the real business value of a feature without having to implement it. Hence, the approach allows feature prioritization based on facts rather than on predictions. The approach was evaluated with a smartphone application. The business value of two features which were subjectively considered to be equally important was investigated. Moreover, the users were assigned different price categories for the features. Combined with live customer feedback, the approach allows us to identify an adequate pricing for the features. The study yielded insightful results as it showed which of the features incorporates higher revenue as well as how users react to the approach. It contributes to the body of knowledge in requirements en- gineering and software engineering as it enables practitioners to select features based on facts rather than predictions and to find ideal price points.
Original languageEnglish
Title of host publicationLean Enterprise Software and Systems : 4th International Conference, LESS 2013, Galway, Ireland, December 1-4, 2013, Proceedings
EditorsB. Fitzgerald, K. Conboy, K. Power, R. Valerdi, L. Morgan, K.-J. Stol
Number of pages15
Publication date2013
ISBN (Print)978-3-642-44929-1
Publication statusPublished - 2013
MoE publication typeA4 Article in conference proceedings
EventLean Enterprise Software and Systems - Galway, Ireland
Duration: 1 Dec 20134 Dec 2013
Conference number: 4

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Fields of Science

  • 113 Computer and information sciences

Cite this