Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation
| dc.contributor.author | Danny Weyns | |
| dc.contributor.author | Ilias Gerostathopoulos | |
| dc.contributor.author | Barbora Bühnová | |
| dc.contributor.author | Nicolás Cardozo | |
| dc.contributor.author | Emilia Cioroaica | |
| dc.contributor.author | Ivana Dusparić | |
| dc.contributor.author | Lars Grunske | |
| dc.contributor.author | Pooyan Jamshidi | |
| dc.contributor.author | Christine Julien | |
| dc.contributor.author | Judith Michael | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T14:55:26Z | |
| dc.date.available | 2026-03-22T14:55:26Z | |
| dc.date.issued | 2022 | |
| dc.description | Citaciones: 6 | |
| dc.description.abstract | Artifacts support evaluating new research results and help comparing them with the state of the art in a field of interest. Over the past years, several artifacts have been introduced to support research in the field of self-adaptive systems. While these artifacts have shown their value, it is not clear to what extent these artifacts support research on problems in self-adaptation that are relevant to industry. This paper provides a set of guidelines for artifacts that aim at supporting industry-relevant research on selfadaptation. The guidelines that are grounded on data obtained from a survey with practitioners were derived during working sessions at the 17th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. Artifact providers can use the guidelines for aligning future artifacts with industry needs; they can also be used to evaluate the industrial relevance of existing artifacts. We also propose an artifact template. | |
| dc.identifier.doi | 10.1145/3561846.3561852 | |
| dc.identifier.uri | https://doi.org/10.1145/3561846.3561852 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/49345 | |
| dc.language.iso | en | |
| dc.publisher | Association for Computing Machinery | |
| dc.relation.ispartof | ACM SIGSOFT Software Engineering Notes | |
| dc.source | KU Leuven | |
| dc.subject | Artifact (error) | |
| dc.subject | Relevance (law) | |
| dc.subject | Computer science | |
| dc.subject | Adaptation (eye) | |
| dc.subject | Field (mathematics) | |
| dc.subject | Set (abstract data type) | |
| dc.subject | Software | |
| dc.subject | Data science | |
| dc.subject | Knowledge management | |
| dc.title | Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation | |
| dc.type | article |