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DC Field | Value | Language |
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dc.contributor.author | Mendes, E | - |
dc.contributor.author | Turhan, B | - |
dc.contributor.author | Rodríguez, P | - |
dc.contributor.author | Freitas, V | - |
dc.date.accessioned | 2017-06-01T11:55:59Z | - |
dc.date.available | 2015 | - |
dc.date.available | 2017-06-01T11:55:59Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, Beijing, China, 21 October, pp. 1-4, (2015) | en_US |
dc.identifier.isbn | 978-1-4503-3715-1 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/14652 | - |
dc.description.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. | en_US |
dc.description.sponsorship | This work is funded under Tekes FiDiPro number 40150/14. | en_US |
dc.format.extent | 7:1 - 7:4 | - |
dc.language.iso | en | en_US |
dc.publisher | ACM | en_US |
dc.subject | Value-based decision making | en_US |
dc.subject | Software product and project management | en_US |
dc.subject | Bayesian network | en_US |
dc.subject | Value-based software engineering | en_US |
dc.title | Estimating the value of decisions relating to managing and developing software-intensive products and projects | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1145/2810146.2810154 | - |
dc.relation.isPartOf | Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering | - |
pubs.notes | acmid: 2810154 articleno: 7 interhash: 2669a4ba9b6904a2cdc0806b522192e4 intrahash: d66dd61b59eaace273c4e32f07a43a96 location: Beijing, China numpages: 4 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | 422.67 kB | Adobe PDF | View/Open |
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