How do practitioners gain confidence in assurance cases?
Assurance Cases (ACs) are prepared to argue that the system’s desired quality attributes (e.g., safety or security) are satisfied. While there is strong adoption of ACs, practitioners are often left asking an important question: are we confident that the claims made by the case are true? While many confidence assessment methods (CAMs) exist, little is known about the use of these methods in practice. Develop an understanding of the current state of practice for AC confidence assessment: what methods are used in practice and what barriers exist for their use? Structured interviews and an email questionnaire were used to gather data from practitioners with experience contributing to real-world ACs. Open-coding was performed on transcripts. A description of the current state of AC practice and future considerations for researchers was synthesized from the results. A total of n = 19 practitioners were interviewed. The most common CAMs were (peer-)review of ACs, dialectic reasoning (“defeaters”), and comparing against checklists. Some practitioners also used models to gain confidence in an AC. Participants preferred qualitative methods and expressed concerns about quantitative CAMs. Barriers to using CAMs included additional work, inadequate guidance, subjectivity and interpretation of results, and trustworthiness of methods. While many CAMs are described in the literature there is a gap between the proposed methods and needs of practitioners. Researchers working in this area should consider the need to: connect CAMs to established practices, use CAMs to communicate with interest holders, crystallize the details of CAM application, curate accessible guidance, and confirm that methods are trustworthy.
Authors
- Simon Diemert (ORCID: https://orcid.org/0000-0001-9493-7969)
- Jens Weber (ORCID: https://orcid.org/0000-0003-4591-6728)
- Caleb Shortt (ORCID: https://orcid.org/0009-0001-1115-203X)
Institutions
- University of Victoria (CA)
Publication Details
- Journal
- Information and Software Technology
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1016/j.infsof.2025.107767
- Citations
- 4
- Primary Topic
- Safety Systems Engineering in Autonomy
- Type
- article
- Field-Weighted Citation Impact
- 5.21
Funders
- Natural Sciences and Engineering Research Council of Canada