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Towards automated data integration in software analytics

Author
Martinez-Fernandez, S.; Jovanovic, P.; Franch, X.; Jedlitschka, A.
Type of activity
Presentation of work at congresses
Name of edition
Twelfth International Workshop on Real-Time Business Intelligence and Analytics
Date of publication
2018
Presentation's date
2018-08-27
Book of congress proceedings
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2018: Rio de Janeiro, Brazil, August 27, 2018
First page
6:1
Last page
6:5
Publisher
Association for Computing Machinery (ACM)
DOI
https://doi.org/10.1145/3242153.3242159 Open in new window
Project funding
Quality-Aware Rapid Software Development (Q-RAPIDS)
Repository
http://hdl.handle.net/2117/127967 Open in new window
URL
https://dl.acm.org/citation.cfm?id=3242159 Open in new window
Abstract
Software organizations want to be able to base their decisions on the latest set of available data and the real-time analytics derived from them. In order to support "real-time enterprise" for software organizations and provide information transparency for diverse stakeholders, we integrate heterogeneous data sources about software analytics, such as static code analysis, testing results, issue tracking systems, network monitoring systems, etc. To deal with the heterogeneity of the underlying da...
Citation
Martínez-Fernández, S. [et al.]. Towards automated data integration in software analytics. A: International Workshop on Real-Time Business Intelligence and Analytics. "Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2018: Rio de Janeiro, Brazil, August 27, 2018". Barcelona: Association for Computing Machinery (ACM), 2018, p. 6:1-6:5.
Keywords
Data integration, Ontology, Real-time enterprise
Group of research
DTIM - Database Technologies and lnformation Management Group
GESSI - Group of Software and Service Engineering
inSSIDE - integrated Software, Service, Information and Data Engineering

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