Mining Projects from Structured and Unstructured Data

Description

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.

Period	12 Jun 2017 → 13 Jun 2017
Event title	International Workshop on Enterprise Modeling and Information System Architectures {(EMISA)} co-located with the 29th International Conference on Advanced Information Systems Engineering (CAiSE)
Event type	Unknown
Degree of Recognition	International