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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Caldeira, J. & Brito e Abreu, F. (2017). Software Development Process Mining: Discovery, Conformance Checking and Enhancement. 2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC).
Exportar Referência (IEEE) 
J. C. Caldeira and F. M. Abreu,  "Software Development Process Mining: Discovery, Conformance Checking and Enhancement", in 2016 10th Int. Conf. on the Quality of Information and Communications Technology (QUATIC), Lisbon, 2017
Exportar BibTeX 
@misc{caldeira2017_1766754569049,
	author = "Caldeira, J. and Brito e Abreu, F.",
	title = "Software Development Process Mining: Discovery, Conformance Checking and Enhancement",
	year = "2017",
	howpublished = "Digital",
	url = "https://doi.org/10.17605/OSF.IO/4C9XY"
}
Exportar RIS 
TY  - CPAPER
TI  - Software Development Process Mining: Discovery, Conformance Checking and Enhancement
T2  - 2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC)
AU  - Caldeira, J.
AU  - Brito e Abreu, F.
PY  - 2017
CY  - Lisbon
UR  - https://doi.org/10.17605/OSF.IO/4C9XY
AB  - Software development has become a fundamental process on any business or organization. As a consequence, together with other emergent technologies, new development platforms (IDEs) are being created, mainly in the cloud (e.g., Eclipse Orion, Cloud9, Codio), requiring different approaches on the way software development can be studied. Empirical studies on software development most often are based on data taken from software configuration management repositories, source code management systems and issue tracking tools, but not from the IDEs themselves, because they do not record data publically regarding developers' activities. We aim to bring forward new insights on the software development process by analyzing how developers use their IDE. Based upon process mining techniques such as process discovery and conformance checking, this missing perspective will hopefully allow the discovery of coding patterns, the search for programmer behaviors and the detection of deviations from prescribed processes. Finally, we expect to provide advice for individual software process enhancement.
ER  -