REFSQ 2024
Mon 8 - Thu 11 April 2024 Winterthur, Switzerland
Tue 9 Apr 2024 14:00 - 14:40 at Blauer Saal - Quality Models for RE (R3) Chair(s): Jan-Philipp Steghöfer

Abstract. [Context and motivation] Explainability is a software quality aspect that is gaining relevance in the field of requirements engineering. The complexity of modern software systems is steadily growing. Thus, understanding how these systems function becomes increasingly difficult. At the same time, stakeholders rely on these systems in an expanding number of crucial areas, such as medicine and finance. [Question/problem] While a lot of research focuses on how to make AI algorithms explainable, there is a lack of fundamental research on explainability in requirements engineering. For instance, there has been little research on the elicitation and verification of explainability requirements. Quality models provide means and measures to specify and evaluate quality requirements. [Principal ideas/results] As a solid foundation, we first conducted a systematic literature review. Based on the results, we then designed a quality model for explainability. We identified ten different aspects of explainability and offer criteria and metrics to measure them. [Contribution] Our quality model provides metrics that enable software engineers to ensure that specified explainability requirements have been met. By identifying different aspects of explainability, we offer a view from different angles that consider different goals of explanations. Thereby, we provide a foundation that will improve the management and verification of explainability requirements.

Tue 9 Apr

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:00 - 15:30
Quality Models for RE (R3)Research Track at Blauer Saal
Chair(s): Jan-Philipp Steghöfer XITASO GmbH IT & Software Solutions
How Explainable is your System? Towards a Quality Model for ExplainabilityTechnical designBest Paper Candidate
Research Track
P: Hannah Deters Leibniz University Hannover, A: Jakob Droste Leibniz Universität Hannover, A: Martin Obaidi Leibniz Universität Hannover, A: Kurt Schneider Leibniz Universität Hannover, Software Engineering Group, D: Julian Frattini Blekinge Institute of Technology
Identifying relevant Factors of Requirements Quality: an industrial Case StudyScientific evaluation
Research Track
P: Julian Frattini Blekinge Institute of Technology, D: Hannah Deters Leibniz University Hannover