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.
BibTeX
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.
Tags
Press 'enter' for creating the tagPublication's profile
Status of publication | Published |
---|---|
Affiliation | WU |
Type of publication | Paper presented at an academic conference or symposium |
Language | English |
Title | Mining projects from structured and unstructured data |
Event | Doctoral Consortium at the 14th International Conference on Business Process Management (BPM-DC2016) |
Year | 2016 |
Date | 17.09-22.09 |
Country | Brazil |
Location | Federal University of the State of Rio de Janeiro |
Associations
- People
- Bala, Saimir (Details)
- Organization
- Institute for Data, Process and Knowledge Management (AE Mendling) (Details)
- Research areas (Ă–STAT Classification 'Statistik Austria')
- 1105 Computer software (Details)
- 1108 Informatics (Details)
- 1109 Information and data processing (Details)
- 1127 Information science (Details)
- 1138 Information systems (Details)
- 1140 Software engineering (Details)
- 5367 Management information systems (Details)