Degbeon, MichaelaHelfert, MarkusMuller, Patrick RigotWohlgemuth, VolkerKranzlmüller, DieterHöb, Maximilian2023-12-152023-12-152023978-3-88579-736-4https://dl.gi.de/handle/20.500.12116/43331This study aims to uncover trends and patterns in sustainable software engineering research, with a particular focus on artifact-oriented outcomes and a practitioner’s perspective. Continuous research on the topic of environmentally sustainable software engineering practices is essential to mitigate the environmental impact of software products and advance software processes that promote sustainability. Despite recognizing the issue, many software industry practitioners struggle to identify sustainability requirements for software products during software development. Many are unaware of any applied process models or other software engineering artifacts to support sustainability in software engineering practices. This working paper intends to map practitioner-focused outcomes and academic research in sustainable software engineering. By adopting a practitioner's perspective, we categorize 11 types of software engineering artifacts. These artifacts represent tangible research outcomes for software practitioners and help with systematically analyzing academic publications on sustainable software engineering between 2001-2022. The analysis is based on a three-stage literature screening process, out of which three intermediate datasets are analyzed. The study provides valuable insights into the trends and patterns of research output, emphasizing the significance of artifacts and acknowledging their contribution to the field. The aim is to promote sustainable software engineering by considering and mapping the perspectives of both academics and practitioners. Furthermore, it opens up opportunities for future research and development.enenvironmental sustainabilitysoftware engineeringartifactspractitionersframeworksmodelsprocessesSustainable Software Engineering: Research Patterns and Trends through Artifacts from a Practitioner's PerspectiveText/Conference Paper10.18420/env2023-0111617-5468