Bala, Saimir. 2017. Mining Projects from Structured and Unstructured Data. International Workshop on Enterprise Modeling and Information System Architectures {(EMISA)} co-located with the 29th International Conference on Advanced Information Systems Engineering (CAiSE), Essen, Deutschland, 12.06.-13.06.

RIS

@CONFERENCE{Bala2017,
title = {Mining Projects from Structured and Unstructured Data},
author = {Saimir Bala},
year = {2017},
address = {Essen},
url = {https://www2.informatik.hu-berlin.de/emisa2017/},
language = {EN},
misc = {International Workshop on Enterprise Modeling and Information System Architectures {(EMISA)} co-located with the 29th International Conference on Advanced Information Systems Engineering (CAiSE)},
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. Thus, all the 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. Moreover, the project members use diverse proprietary tools. This makes it difficult for auditors to understand how the actual project was conducted. My research addresses the project mining problem by exploiting logs from project-generated artifacts, which come from software repositories used by the project team.},
}