Helius: A Design Thinking Techniques Recommendation System in Software Development
This paper demonstrates Helius, a collaborative Design Thinking (DT) techniques recommendation system. We proposed Helius to support DT practitioners in selecting DT techniques for use in software development, as literature has shown that selecting a set of DT techniques can be a complex decision-making problem. To develop Helius, we followed a Design Science Research framework, starting with a deep understanding of the problem and followed by three iterations of design and validation activities. In total, 40 professionals participated in the validation activities for Helius. The results show that Helius effectively supports the selection of DT techniques and is considered by DT practitioners to be a useful and easy-to-use recommendation system. Helius Tool’s video: https://doi.org/10.5281/zenodo.11398135
Authors
- Sabrina Marczak (ORCID: https://orcid.org/0000-0001-9631-8969)
- Rafael Parizi (ORCID: https://orcid.org/0000-0001-8550-1135)
- Tayana Conte (ORCID: https://orcid.org/0000-0001-6436-3773)
- Lucas Hanauer
Institutions
- Pontifícia Universidade Católica do Rio Grande do Sul (BR)
Publication Details
- Published
- 2024-09-30
- DOI
- https://doi.org/10.5753/sbes.2024.3600
- Citations
- 1
- Primary Topic
- Software Engineering Techniques and Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.78
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico