Preliminary insights to enable automation of the software development process in software StartUps : an investigation study from the use of artificial intelligence and machine learning
Borges, Olimar; Lenarduzzi, Valentina; Prikladnicki, Rafael (2022-10-17)
Olimar Borges, Valentina Lenarduzzi, and Rafael Prikladnicki. 2022. Preliminary Insights to enable automation of the Software Development Process in Software StartUps: An Investigation Study from the use of Artificial Intelligence and Machine Learning. In 1st Conference on AI Engineering - Software Engineering for AI (CAIN’22), May 16–24, 2022, Pittsburgh, PA, USA. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3522664.3528610
© ACM 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CAIN '22: Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, http://dx.doi.org/10.1145/3522664.3528610.
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https://urn.fi/URN:NBN:fi-fe2023032733304
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Abstract
Artificial Intelligence (AI) and Machine Learning (ML) tools and techniques have increasingly effectively supported Software Engineering (SE) tasks, whether for requirements classification, software refactoring, defect prediction, and many others. In the context of software StartUps, where innovative and scalable software products are developed, dealing with the pressure of fast delivery of a working solution becomes a challenging factor. We aim to investigate AI and ML techniques used by SE practitioners and entrepreneurs to support their Software Development Processes (SDP) and thus enable their use by software StartUps. We seek to identify this information through the application of an online Survey instrument, mainly disseminated in Brazil and Finland. This preliminary study provides insights that can support improving the SDP in StartUps.
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