Greiner, S., Schmid, K., Berger, T., Krieter, S., & Meixner, K. (2024). Generative AI And Software Variability - A Research Vision. In Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems (pp. 71–76). https://doi.org/10.1145/3634713.3634722
Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems
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ISBN:
9798400708770
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Date (published):
7-Feb-2024
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Event name:
18th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS '24)
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Event date:
7-Feb-2024 - 9-Feb-2024
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Event place:
Bern, Switzerland
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Number of Pages:
6
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Peer reviewed:
Yes
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Keywords:
generative AI; product lines; Variability-intensive software systems
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Abstract:
Generative Artificial Intelligence (GAI) promises groundbreaking automation technology - a potential which may raise the management of variability-intensive software systems to a new level of automation. Several activities in maintaining variability-intensive software systems, such as extracting feature traces to updating features consistently, are repetitive and performed mainly manually or semi-automatically. Exploiting the potentials of GAI in maintaining variability-intensive software systems opens a fundamentally new research perspective, where GAI shall solve repetitive and hard-to-automate tasks. In this vision paper, we propose and discuss increasing levels of maintaining variability-intensive software systems automatically enabled through the support of GAI. We sketch actions necessary to reach the next levels of automation while discussing the current state-of-the-art.
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Project title:
Verbesserung der Sicherheit von Informationsprozessen in Produktionssystemen: CDL SQI (Christian Doppler Forschungsgesells; Christian Doppler Forschungsgesells)
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Research Areas:
Computer Engineering and Software-Intensive Systems: 100%
