Requirements Engineering at a Glance: Comparing GORE and UML methods in the design of automated systems

Silva, Javier Martinez; Silva, José Reinaldo; Salmon, Arianna Z. Olivera; Foyo, Pedro Manuel González del

doi:10.20906/cps/cba2018-0644

Cited by 1 publication

(1 citation statement)

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“…Also, GORE could model requirements at lower levels of abstractions than UML. Silva et al [52] explained that using GORE to model a requirement or concept could be presented with fewer structural diagrams than UML. However, UML is more widely known and used than GORE, also, GORE was reported to be more difficult to learn among non-software engineers [53,54].…”

Section: Modeling Requirements For Human-centered Aimentioning

confidence: 99%

Requirements Framework for Engineering Human-centered Artificial Intelligence-Based Software Systems

Ahmad¹,

Abdelrazek²,

Arora³

et al. 2023

Preprint

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Artificial intelligence (AI) components used in building software solutions have substantially increased in recent years. However, many of these solutions end up focusing on technical aspects and ignore critical human-centered aspects. [Objective] Including humancentered aspects during requirements engineering (RE) when building AI-based software can help achieve more responsible, unbiased, and inclusive AI-based software solutions. [Method] In this paper, we present a new framework developed based on human-centered AI guidelines and a user survey to aid in collecting requirements for human-centered AI-based software. We provide a catalog to elicit these requirements and a conceptual model to present them visually.[Results] The framework is applied to a case study to elicit and model requirements for enhancing the quality of 360°videos intended for virtual reality (VR) users. [Conclusion] We found that our proposed approach helped the project team fully understand the needs of the project to deliver. Furthermore, the framework helped to understand what requirements need to be captured at the initial stages against later stages in the engineering process of AI-based software.

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Section: Modeling Requirements For Human-centered Aimentioning

confidence: 99%