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.
Original language | English |
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Title of host publication | 11th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2015) |
Subtitle of host publication | October 21st, 2015, Beijing, China |
Editors | Leandro Minku |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 4 |
ISBN (Electronic) | 9781450337151 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Event | International Conference on Predictive Models and Data Analytics in Software Engineering 2015 - Beijing, China Duration: 21 Oct 2015 → 21 Oct 2015 Conference number: 11th http://promisedata.org/2015/ |
Conference
Conference | International Conference on Predictive Models and Data Analytics in Software Engineering 2015 |
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Abbreviated title | PROMISE 2015 |
Country/Territory | China |
City | Beijing |
Period | 21/10/15 → 21/10/15 |
Internet address |
Keywords
- Bayesian network
- Software product and project management
- Value-based decision making
- Value-based software engineering