Publication: Discovering loners and phantoms in commit and issue data
Discovering loners and phantoms in commit and issue data
Date
Date
Date
Citations
Schermann, G., Brandtner, M., Panichella, S., Leitner, P., & Gall, H. (2015). Discovering loners and phantoms in commit and issue data. 4–14. https://doi.org/10.1109/ICPC.2015.10
Abstract
Abstract
Abstract
The interlinking of commit and issue data has become a de-facto standard in software development. Modern issue tracking systems, such as JIRA, automatically interlink commits and issues by the extraction of identifiers (e.g., issue key) from commit messages. However, the conventions for the use of interlinking methodologies vary between software projects. For example, some projects enforce the use of identifiers for every commit while others have less restrictive conventions. In this work, we introduce a model called PaLiMod to enable
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
- Schermann, Gerald
- Brandtner, Martin
- Panichella, Sebastiano
- Leitner, Philipp
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Country
Event Country
Event Country
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Publisher
Publisher
Publisher
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Scope
Scope
Scope
Language
Language
Language
Date available
Date available
Date available
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Other Identification Number
Other Identification Number
Other Identification Number
Metrics
Downloads
Views
Citations
Schermann, G., Brandtner, M., Panichella, S., Leitner, P., & Gall, H. (2015). Discovering loners and phantoms in commit and issue data. 4–14. https://doi.org/10.1109/ICPC.2015.10
