Monitoring the Software Development Process with Process Mining View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Saimir Bala , Jan Mendling

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. More... »

PAGES

432-442

Book

TITLE

Business Modeling and Software Design

ISBN

978-3-319-94213-1
978-3-319-94214-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-94214-8_34

DOI

http://dx.doi.org/10.1007/978-3-319-94214-8_34

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105194890


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