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http://bura.brunel.ac.uk/handle/2438/14652
Title: | Estimating the value of decisions relating to managing and developing software-intensive products and projects |
Authors: | Mendes, E Turhan, B Rodríguez, P Freitas, V |
Keywords: | Value-based decision making;Software product and project management;Bayesian network;Value-based software engineering |
Issue Date: | 2015 |
Publisher: | ACM |
Citation: | Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, Beijing, China, 21 October, pp. 1-4, (2015) |
Abstract: | The software industry’s current decision-making relating to product/project management and development is largely done in a value neutral setting, in which cost is the primary driver for every decision taken. However, numerous studies have shown that the primary critical success factor that differentiates successful products/projects from failed ones lie in the value domain. Therefore, to remain competitive, innovative and to grow, companies must change from cost-based decision-making to value-based decision-making where the decisions taken are the best for that company’s overall value creation. Our vision to tackle this problem and to provide a solution for value estimation is to employ a combination of qualitative and machine learning solutions where a probabilistic model encompassing the knowledge from different stakeholders will be used to predict the overall value of a given decision relating to product management and development. This vision drives the goal of a 3-year research project funded by the Finnish Funding Agency for Technology and Innovation (Tekes), with the participation of several industry partners. |
URI: | http://bura.brunel.ac.uk/handle/2438/14652 |
DOI: | http://dx.doi.org/10.1145/2810146.2810154 |
ISBN: | 978-1-4503-3715-1 |
Appears in Collections: | Dept of Computer Science Research Papers |
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