Bala, Saimir, Mendling, Jan. 2018. Monitoring the Software Development Process with Process Mining. In Business Modeling and Software Design - 8th International Symposium, BMSD 2018, Vienna, Hrsg. Boris Shishkov, 432-442. Cham: Springer.
BibTeX
Abstract
Software projects typically need to be monitored in detail regarding when what was done in order to demonstrate adherence to methodologies, rules, regulations, guidelines or best practices. To this end, it is of utmost importance to obtain factual knowledge from empirical evidence about the actual software development process. A major problem in this context is the lack of a centralized control of by a central system. Although it is hard to obtain full knowledge of the overall software development process, several cues can be gathered by analyzing pieces of information that are stored by supporting IT systems (e.g., issue trackers and version control). This position paper presents research in progress for extracting process knowledge from the historical data of software artifacts. This work extends the applicability of process mining techniques to software processes.
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Status of publication | Published |
---|---|
Affiliation | WU |
Type of publication | Contribution to conference proceedings |
Language | English |
Title | Monitoring the Software Development Process with Process Mining |
Title of whole publication | Business Modeling and Software Design - 8th International Symposium, BMSD 2018, Vienna |
Editor | Boris Shishkov |
Page from | 432 |
Page to | 442 |
Location | Cham |
Publisher | Springer |
Year | 2018 |
ISBN | 978-3-319-94214-8 |
URL | https://www.springer.com/de/book/9783319942131 |
Open Access | N |
Associations
- People
- Bala, Saimir (Former researcher)
- Mendling, Jan (Details)
- Organization
- Institute for Data, Process and Knowledge Management IN (Details)
- Research areas (Ă–STAT Classification 'Statistik Austria')
- 1105 Computer software (Details)
- 1109 Information and data processing (Details)
- 1145 Time series analysis (Details)
- 5306 Business data processing (Details)