Estimating the value of decisions relating to managing and developing software-intensive products and projects

Emilia Mendes, Burak Turhan, Pilar Rodríguez, Vitor Freitas

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

11 Citations (Scopus)


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 languageEnglish
Title of host publication11th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2015)
Subtitle of host publicationOctober 21st, 2015, Beijing, China
EditorsLeandro Minku
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages4
ISBN (Electronic)9781450337151
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Predictive Models and Data Analytics in Software Engineering 2015 - Beijing, China
Duration: 21 Oct 201521 Oct 2015
Conference number: 11th


ConferenceInternational Conference on Predictive Models and Data Analytics in Software Engineering 2015
Abbreviated titlePROMISE 2015
Internet address


  • Bayesian network
  • Software product and project management
  • Value-based decision making
  • Value-based software engineering

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