CHASE 2024
Sun 14 - Mon 15 April 2024 Lisbon, Portugal
co-located with ICSE 2024

Hybrid work, a fusion of different work environments that allow employees to work in and outside their offices, represents a new frontier for agile researchers to explore. However, due to the nascent nature of the research phenomena, we are yet to achieve a good understanding of the research terrain formulated when hybrid work meets agile software development. This systematic mapping study, we aimed to provide a good understanding of this emerging research area. The systematic process we followed led to a collection of 12 primary studies, which is less than what we expected. All the papers are empirical studies, with most of them employing case studies as the research methodology. The people-centric nature of agile methods is yet to be adequately reflected in the studies in this area. Similarly, there is a lack of a richer understanding of hybrid work in terms of flexible work arrangements. Our mapping study identified various research opportunities that can be explored in future research.

Sun 14 Apr

Displayed time zone: Lisbon change

14:00 - 15:30
AI adoption and hybrid - recent trends in SEFull Papers / Short Papers / Journal-First at Fernando Pessoa
Chair(s): Giuseppe Destefanis Brunel University London
Challenges with Teamwork Quality and the Relationship to Project Success in Large-Scale Agile ProjectsShort Paper
Short Papers
Torgeir Dingsøyr Norwegian University of Science and Technology and SimulaMet, Phillip Schneider , Gunnar Rye Bergersen University of Oslo, Yngve Lindsjørn
Hybrid Work meets Agile Software Development: A Systematic Mapping StudyFull Paper
Full Papers
Dron Khanna Free University of Bozen-Bolzano, Emily Laue Christensen IT University of Copenhagen, Saagarika Gosu Free University of Bozen-Bolzano, Xiaofeng Wang Free University of Bozen-Bolzano, Maria Paasivaara LUT University, Finland & Aalto University, Finland
Post-Pandemic Hybrid Work in Software Companies: Findings from an Industrial Case StudyFull Paper
Full Papers
Navigating the Complexity of Generative AI Adoption in Software EngineeringJournal-First
Daniel Russo Department of Computer Science, Aalborg University