The purpose of this work is to analyze how Requirements Elicitation is led when dealing with the implementation of a software based on Machine Learning. After reviewing the existing literature about the topic, the author conducted four interviews with people who possess knowledge in Requirements Engineering. The interviews had multiple purposes: compare Requirements Elicitation techniques known in academia with the industry’s doings; find out whether dealing with a Machine Learning based software impacted Requirements Elicitation; have an insight at the overall approach to take on Requirements Elicitation i.e., methodology, stakeholders, processes, requirements reuse. The results show that there exists a gap between the focus points of academics and practitioners; respondents indicate that they do not feel like the Machine Learning components impact Requirements Elicitation; the overall process favors an Agile methodology, requirements reuse, and working with an out of the box solution complemented by customizations.
la date de réponse | 2021 |
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langue originale | Anglais |
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L'institution diplômante | |
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Superviseur | Sarah Bouraga (Promoteur) |
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Requirements Elicitation for a cloud-based software with Artificial Intelligence and Machine Learning components: a case study of the Esker Sales Order Automation Solution
Derolez, L. (Auteur). 2021
Student thesis: Master types › Master en ingénieur de gestion à finalité spécialisée en data science