Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ahmad, Khlood"'
The widespread of data visualisation tools on smartphones has provided end users an easy way to track their health data, leading designers to put more effort into delivering suitable visualisations. Both academia and industry have developed several f
Externí odkaz:
http://arxiv.org/abs/2311.03657
Autor:
Ahmad, Khlood, Abdelrazek, Mohamed, Arora, Chetan, Baniya, Arbind Agrahari, Bano, Muneera, Grundy, John
[Context] Artificial intelligence (AI) components used in building software solutions have substantially increased in recent years. However, many of these solutions focus on technical aspects and ignore critical human-centered aspects. [Objective] In
Externí odkaz:
http://arxiv.org/abs/2303.02920
Artificial Intelligence (AI) systems have gained significant traction in the recent past, creating new challenges in requirements engineering (RE) when building AI software systems. RE for AI practices have not been studied much and have scarce empir
Externí odkaz:
http://arxiv.org/abs/2302.06034
[Context] Engineering Artificial Intelligence (AI) software is a relatively new area with many challenges, unknowns, and limited proven best practices. Big companies such as Google, Microsoft, and Apple have provided a suite of recent guidelines to a
Externí odkaz:
http://arxiv.org/abs/2301.10404
[Context] In traditional software systems, Requirements Engineering (RE) activities are well-established and researched. However, building Artificial Intelligence (AI) based software with limited or no insight into the system's inner workings poses s
Externí odkaz:
http://arxiv.org/abs/2212.10693
Publikováno v:
In Information and Software Technology June 2023 158
This book constitutes the refereed post-conference proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2023, held in Prague, Czech Republic, during April 24–25, 2023. The 15 revised full