Agile Management for Machine Learning: A Systematic Mapping Study
Romao, Lucas, Villamizar, Hugo, Oliveira, Romeu, Alonso, Silvio, Kalinowski, Marcos
–arXiv.org Artificial Intelligence
Of the 1,104 papers initially retrieved, only ten met the IC. This process was conducted by the main author and subsequently reviewed by the other authors. Secondly, we applied backward and forward snowballing (via Google Scholar) on each selected paper to identify additional relevant studies not captured by the initial Scopus search. This iterative process is illustrated in Figure 2. Through snowballing, we identified 17 additional papers, bringing the total number of selected studies to 27. In total, we screened over 2,400 papers across the Scopus search and snowballing iterations. D. Data Extraction and Classification Scheme The Data Extraction and Classification Scheme for each paper is outlined in Table II. The selection process and the extracted data are documented in our online Zenodo repository, which includes information on each identified paper, the reason for its inclusion or exclusion, and the data extracted to answer each RQ.
arXiv.org Artificial Intelligence
Jun-27-2025
- Country:
- Asia > India (0.04)
- Europe > Germany
- Bavaria > Upper Bavaria > Munich (0.04)
- South America > Brazil
- Rio de Janeiro > Rio de Janeiro (0.04)
- Genre:
- Research Report > New Finding (0.68)
- Industry:
- Health & Medicine (0.46)
- Technology: