Using Bayesian networks to estimate strategic indicators in the context of rapid software development
Document typeConference report
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
European Commisision's projectEC-H2020-732253-Q-RAPIDS-
Background: During Rapid Software Development, a large amount of project and development data can be collected from different and heterogeneous data sources. Aims: Design a methodology to process these data and turn it into relevant strategic indicators to help companies make meaningful decisions. Method: We adapt an existing methodology to create and estimate strategic indicators using Bayesian Networks in the context of Rapid Software Development, and applied it to a use case. Results: Applying the methodology in the use case, we create a model to predict product quality based on software factors and metrics, using companies’ business knowledge and collected data. Conclusions: We proved the methodology’s feasibility and obtained positive feedback from the company’s use case.
CitationManzano, M., Mendes, E., Gómez, C., Ayala, C.P., Franch, X. Using Bayesian networks to estimate strategic indicators in the context of rapid software development. A: International Conference on Predictive Models and Data Analytics in Software Engineering. "Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering". New York: Association for Computing Machinery (ACM), 2018, p. 52-55.