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Requirements Engineering Challenges in Building AI-Based Complex Systems


Belani, Hrvoje; Vuković, Marin; Car, Željka
Requirements Engineering Challenges in Building AI-Based Complex Systems // 2019 IEEE 27th International Requirements Engineering Conference Workshops / O’Conner, Lisa (ur.).
Jeju: IEEE Computer Society, 2019. str. 252-255 doi:10.1109/REW.2019.00051 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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 - Jeju : IEEE Computer Society, 2019, 252-255

ISBN
978-1-7281-5165-6

Skup
2019 IEEE 27th International Requirements Engineering Conference

Mjesto i datum
Jeju, Republika Koreja, 23-27.09.2019

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

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