VALUE Improving decision-making relating to software-intensive products and services development

Our Main Goal is…

"To provide a mechanism for companies to forecast the overall value associated with a decision relating to software/product management and development."
Collaboration
This video presentation was recorded during the 44th CREST open workshop at UCL (London)
Tekes
University of Oulu
FiDiPro

Identification of VALUE

We identify, in collaboration with our business partners, the factors that they use intrinsically in their decision making, which represent their understanding about what Value means, and to whom.

The outcome is an explicit set of Value Factors that represent the viewpoints from different stakeholders. Such outcome also provides a common vocabulary, so taking away subjectivity and misunderstandings.

Identification of VALUE

Decision Support for VALUE

Using the VALUE Tool, each stakeholder estimates the impact that they believe the implementation of a particular set of features/ideas/requirements/etc will likely have upon each of the previously identified VALUE factors.

The VALUE Tool also provides a dashboard that presents the aggregated views from different stakeholders using numerous visualization techniques. These visualizations aim to support stakeholders’ discussions and decisions.

Decision Support for VALUE

Prediction of VALUE

The end goal of VALUE is to provide a solution, using Bayesian Network, where past aggregated data from decision making meetings, combined with basic research on automatic uncertainty quantification, can be used to provide the overall value of a feature/idea/requirement/etc being discussed, in case it is selected for implementation into an existing product/project. The technique chosen – Bayesian Network, enables the representation of the uncertainty that is inherent to decision making scenarios and experts’ knowledge.

Prediction of VALUE