Table 1 Statistics of investigated papers. “Source” denotes where the projects are collected for investigation, “# Project” indicates the number of investigated projects, and “Approach” shows what methods are used to obtain the conclusions
From: Evaluation indicators for open-source software: a review
Study | Source | # Project | Data analysis methods |
|---|---|---|---|
Lerner (2005) | SourceForge | 40000 | OLS1 |
Colazo et al. (2009) | SourceForge | 62 | OLS and Cox regression |
Sen et al. (2008) | SourceForge | 196 responses | Multinomial logit analysis |
Grewal (2006) | SourceForge | 108 | Latent class cluster analysis |
Crowston et al. (2004) | SourceForge | 122 | PSM2 |
Garousi (2009) | SourceForge | 8,627 | N.A. |
Crowston et al. (2003) | Surveys via SlashDot3 | 170 | Atlas-ti13 |
Sen (2006) | FreshMeat | 12923 | FIML4 |
Wu et al. (2007) | SourceForge | 56 | 3SLS5 |
Stewart et al. (2005) | FreshMeat | 147 | MANCOVA6 |
Raymond (1999) | Fetchmail12 | N.A. | N.A. |
Fershtman et al. (2004) | SourceForge | 71 | GLS7 |
Subramaniam (2009) | SourceForge | 8,627 | Random-effects and linear regression |
Midha et al. (2012) | N.A. | 283 | VIF8 |
Colazo (2005) | SourceForge | 62 | OLS |
Tsay et al. (2012) | Github | N.A. | Separate negative & binomial regression |
Homscheid et al. (2016) | Survey | 321 | Theory-driven approach |
Spaeth et al. (2015) | Maemo and OpenMoko | N.A. | N.A. |
Teigland et al. (2014) | eZ Publish | N.A. | Abductive approach |
Guinan et al. (1998) | 15 organizations | 66 Teams | PCA16 |
English et al. (2007) | SourceForge | 110,933 | N.A. |
Beecher (2008) | Debian9 | 50 | GQM10 Method |
Robinson and Vlas. (2015) | SourceForge | 31 | Six-Vertex measurement model |
Comino et al. (2007) | SourceForge | 88,192 | N.A. |
Giuri et al. (2004) | SourceForge | N.A. | Multinomial logit analysis |
Schweik (2009) | SourceForge | 107,747 | N.A. |
N.A. | 1,409 | PLS11 | |
Chang (2018) | CFA and brigades’ Slack channels | 143 | Inferential statistics method |
Ke and Zhang (2011) | SourceForge | 233 | PLS |
Peng (2019) | Github | N.A. | OLS, GLM17, BLR18 |
Feitelson et al. (2006) | SourceForge | 1681 | Least-squares analysis |
Emanuel et al. (2010) | SourceForge | 160141 | Datamining 2-Itemset Association Rule |
Tamura and Yamada (2007) | Fedora Core Linux | N.A. | Neural network and NHPP model |
Norikane et al. (2018) | QT project database | N.A. | Prediction model |
Bao et al. (2019) | Github | 917 | Wilcoxon rank-sum test with Bonferroni correction |
Yang et al. (2013) | Ohloh | N.A. | Regression data analysis |
Hanoğlu and Tarhan (2019) | Github | 17 | Understand 5.1 and JASP |
Crowston and Shamshurin (2017) | ASF14 Incubator | 74 | Violin plot |
Joy et al. (2018) | Github | 130 | OLS |
Chen et al. (2015) | N.A. | 70 | Data Analysis |
Greene and Fischer (2016) | Github | 1000 | N.A. |
Rebouças et al. (new12-20) | Github | 35360 | Fisher’s Exact Test |
Hata et al. (020803) | Github | 22 | Game-theoretical models |
Fronchetti et al. (020804) | Github | 450 | Random Forest and KSC clustering algorithm19 |