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Using Bayesian networks to estimate strategic indicators in the context of rapid software development

Author
Manzano, M.; Mendes, E.; Gomez, C.; Ayala, C.P.; Franch, X.
Type of activity
Presentation of work at congresses
Name of edition
14th International Conference Predictive Models and Data Analytics in Software Engineering
Date of publication
2018
Presentation's date
2018-10-10
Book of congress proceedings
Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering
First page
52
Last page
55
Publisher
Association for Computing Machinery (ACM)
DOI
https://doi.org/10.1145/3273934.3273940 Open in new window
Project funding
(GENESIS) Generation and Evolution of Smart APIs
Quality-Aware Rapid Software Development (Q-RAPIDS)
Repository
http://hdl.handle.net/2117/126068 Open in new window
URL
https://dl.acm.org/citation.cfm?id=3273940 Open in new window
Abstract
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: Applyin...
Citation
Manzano, 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.
Keywords
Bayesian Network, Business knowledge, Heterogeneous data sources, Large amounts, Predictive analytics, Rapid software development, Software design, Strategic indicator, Use-case
Group of research
GESSI - Group of Software and Service Engineering
inSSIDE - integrated Software, Service, Information and Data Engineering

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