Bala, Saimir. 2016. Mining projects from structured and unstructured data. Doctoral Consortium at the 14th International Conference on Business Process Management (BPM-DC2016), Federal University of the State of Rio de Janeiro, Brazil, 17.09-22.09.

RIS

@CONFERENCE{Bala2016,
title = {Mining projects from structured and unstructured data},
author = {Saimir Bala},
year = {2016},
address = {Federal University of the State of Rio de Janeiro},
language = {EN},
misc = {Doctoral Consortium at the 14th International Conference on Business Process Management (BPM-DC2016)},
abstract = {Companies working on safety-critical projects must adhere to strict rules imposed by the domain, especially when human safety is involved. These projects need to be compliant to standard norms and regulations in their domain. All process steps must be clearly documented in order to be verifiable for compliance in a later stage by an auditor. Nevertheless, documentation often comes in the form of manually written textual documents in different formats and with proprietary tools, which make it difficult for auditors to keep track of all the details. My research addresses the project mining problem by exploiting version control systems logs used by project members to collaborate. },
}