Título:
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Using Bayesian networks to estimate strategic indicators in the context of rapid software development
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Autor/a:
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Manzano, Martí; Mendes, Emilia; Gómez Seoane, Cristina; Ayala Martínez, Claudia Patricia; Franch Gutiérrez, Javier
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació; Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering |
Abstract:
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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. |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Enginyeria del software -Decision making -Bayesian statistical decision theory -Computer software -- Development -Bayesian Network -Rapid software development -Strategic indicator -Predictive analytics -Business knowledge -Heterogeneous data sources -Large amounts -Use-case -Software design -Decisió, Presa de -Estadística bayesiana -Programari -- Desenvolupament |
Derechos:
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Tipo de documento:
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Artículo - Versión presentada Objeto de conferencia |
Editor:
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Association for Computing Machinery (ACM)
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