Feature Trace Recording - Summary
| dc.contributor.author | Bittner, Paul Maximilian | |
| dc.contributor.author | Schultheiß, Alexander | |
| dc.contributor.author | Thüm, Thomas | |
| dc.contributor.author | Kehrer, Timo | |
| dc.contributor.author | Young, Jeffrey M. | |
| dc.contributor.author | Linsbauer, Lukas | |
| dc.contributor.editor | Grunske, Lars | |
| dc.contributor.editor | Siegmund, Janet | |
| dc.contributor.editor | Vogelsang, Andreas | |
| dc.date.accessioned | 2022-01-19T12:56:53Z | |
| dc.date.available | 2022-01-19T12:56:53Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | In this work, we report about recent research on Feature Trace Recording, originally published at the Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) 2021. Tracing requirements to their implementation is crucial to all stakeholders of a software development process. When managing software variability, requirements are typically expressed in terms of features, a feature being a user-visible characteristic of the software. While feature traces are fully documented in software product lines, ad-hoc branching and forking, known as clone-and-own, is still the dominant way for developing multi-variant software systems in practice. Retroactive migration to product lines suffers from uncertainties and high effort because knowledge of feature traces must be recovered but is scattered across teams or even lost. We propose a semi-automated methodology for recording feature traces proactively, during software development when the necessary knowledge is present. To support the ongoing development of previously unmanaged clone-and-own projects, we explicitly deal with the absence of domain knowledge for both existing and new source code. We evaluate feature trace recording by replaying code edit patterns from the history of two real-world product lines. Our results show that feature trace recording reduces the manual effort to specify traces. | en |
| dc.identifier.doi | 10.18420/se2022-ws-002 | |
| dc.identifier.isbn | 978-3-88579-714-2 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/37972 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Software Engineering 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-320 | |
| dc.subject | feature traceability | |
| dc.subject | feature location | |
| dc.subject | disciplined annotations | |
| dc.subject | clone-and-own | |
| dc.subject | software product lines | |
| dc.title | Feature Trace Recording - Summary | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 20 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 19 | |
| gi.conference.date | 21.-25. Feburar 2022 | |
| gi.conference.location | Berlin/Virtuell | |
| gi.conference.sessiontitle | Wissenschaftliches Hauptprogramm |
Dateien
Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
- Name:
- A1-2.pdf
- Größe:
- 206.63 KB
- Format:
- Adobe Portable Document Format