Preliminary insights to enable automation of the software development process in software StartUps
Author:
Affiliation:
1. PUCRS University, Porto Alegre, Brazil
2. University of Oulu, Oulu, Finland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3522664.3528610
Reference7 articles.
1. Olimar Borges Julia E Couto etal 2020. How machine learning has been applied in software engineering?. In ICEIS. 306--313. Olimar Borges Julia E Couto et al. 2020. How machine learning has been applied in software engineering?. In ICEIS . 306--313.
2. Olimar Borges Julia E Couto etal 2021. Challenges in using Machine Learning to Support Software Engineering. In ICEIS. 224--231. Olimar Borges Julia E Couto et al. 2021. Challenges in using Machine Learning to Support Software Engineering. In ICEIS . 224--231.
3. Pierre Bourque Richard E Fairley etal 2014. (SWEBOK (R)): Version 3.0. IEEE Washington US. Pierre Bourque Richard E Fairley et al. 2014. (SWEBOK (R)): Version 3.0 . IEEE Washington US.
4. Automatically classifying source code using tree-based approaches
5. Software Engineering Data Collection for Field Studies;Sim Janice;Chapter,2008
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1. Artificial Intelligence and Automation for the Future of Startups;Advances in Business Strategy and Competitive Advantage;2023-12-15
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