Pregled bibliografske jedinice broj: 1022229
Requirements Engineering Challenges in Building AI-Based Complex Systems
Requirements Engineering Challenges in Building AI-Based Complex Systems // 2019 IEEE 27th International Requirements Engineering Conference Workshops / O’Conner, Lisa (ur.).
Lahti: Institute of Electrical and Electronics Engineers (IEEE), 2019. str. 252-255 doi:10.1109/REW.2019.00051 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1022229 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Requirements Engineering Challenges in Building AI-Based Complex Systems
Autori
Belani, Hrvoje ; Vuković, Marin ; Car, Željka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2019 IEEE 27th International Requirements Engineering Conference Workshops
/ O’Conner, Lisa - Lahti : Institute of Electrical and Electronics Engineers (IEEE), 2019, 252-255
ISBN
978-1-7281-5165-6
Skup
27th International Requirements Engineering Conference (IEEE 2019)
Mjesto i datum
Jeju City, Republika Koreja, 23.09.2019. - 27.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
requirements engineering, software development, artificial intelligence, complex systems, data science, machine learning, deep learning, development process
Sažetak
This paper identifies and tackles the challenges of the requirements engineering discipline when applied to development of AI-based complex systems. Due to their complex behaviour, there is an immanent need for a tailored development process for such systems. However, there is still no widely used and specifically tailored process in place to effectively and efficiently deal with requirements suitable for specifying a software solution that uses machine learning. By analysing the related work from software engineering and artificial intelligence fields, potential contributions have been recognized from agent-based software engineering and goal-oriented requirements engineering research, as well as examples from large product development companies. The challenges have been discussed, with proposals given how and when to tackle them. RE4AI taxonomy has also been outlined, to inform the tailoring of development process.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Projektni menadžment
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb