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Table 8 The indicators have been analyzed and come to a consistent conclusion. “\(A \xrightarrow {\; +\;}B\)” means A makes a positive impact on B, and “\(A \xrightarrow {\; -\;}~B\)” indicates A has negative influence on B. θ is the threshold for correlation. Generally, a value larger than |θ| indicates a considerable positive or negative effect between two variables

From: Evaluation indicators for open-source software: a review

Study Conclusion Correlation Value
Wu et al. (2007) License \(\xrightarrow {\;-\;}\)Popluarity 1.031
Stewart et al. (2005) License \(\xrightarrow {\;-\;}\)Popluarity 3.05
Subramaniam et al. (2009) License \(\xrightarrow {\;-\;}\)Popluarity -0.070 (|θ|=0.056)
Stewart et al. (2006) License \(\xrightarrow {\;-\;}\)Popluarity 6.620
Midha and Palvia (2012) Language translations\(\xrightarrow {\;+\;}\) Popularity 0.13 0.12 0.23
Ghapanchi and Tavana (2015) Language translations \(\xrightarrow {\;+\;}\) Popularity 0.281 0.22
Colazo and Fang (2009) Copyleft \(\xrightarrow {\;+\;}\)Developer number 0.207
Colazo et al. (2005) Copyleft \(\xrightarrow {\;+\;}\)Developer number 0.207
Colazo and Fang (2009) Copyleft \(\xrightarrow {\;+\;}\)Project activity 0.334
Colazo et al. (2005) Copyleft \(\xrightarrow {\;+\;}\)Project activity 0.302
Subramaniam et al. (2009) Project activity\(\xrightarrow {\;+\;}\)User interest 0.040 (|θ|=0.000)
Stewart and Ammeter (2002) Project activity \(\xrightarrow {\;+\;}\)User interest 0.264
Ghapanchi (2015) Developer interest \(\xrightarrow {\;+\;}\) User interest 0.39
Subramaniam et al. (2009) Developer Interest \(\xrightarrow {\;+\;}\) user interest 0.888 (|θ|=0.010)
Stewart and Ammeter (2002) (Nonmarket) Sponsor \(\xrightarrow {\;(+)+\;}\)Popularity 0.529
Stewart (2005) (Nonmarket) Sponso\(\xrightarrow {\;(+)+\;}\)Popularity 7.71
Stewart et al. (2006) (Nonmarket) Sponsor \(\xrightarrow {\;(+)+\;}\)popularity 5.849 (|θ|=1.235)
Wu et al. (2007) Sponsor \(\xrightarrow {\;+\;}\) Project Activity 0.428
Stewart et al. (2006) Sponsor \(\xrightarrow {\;+\;}\)Project activity 1.827
Stewart and Ammeter (2002) Project status \(\xrightarrow {\;+\;}\) Popularity 1.011
Sen (2006) Project status\(\xrightarrow {\;+\;}\) Popularity 0.1234 0.1254
Subramaniam et al. (2009) Project status \(\xrightarrow {\quad +\quad } \) Popularity 0.304 (|θ|=0.008)
Wu et al. (2007) Project age \(\xrightarrow {\;+\;}\) Popularity 0.761
Sen (2006) Project age \(\xrightarrow {\;+\;}\) Popularity 0.3941 0.3992
Ghapanchi and Tavana (2015) Project age \(\xrightarrow {\;+\;}\) Popularity 0.24 0.225
Sen (2006) Unix-like operating system \(\xrightarrow {\;+\;}\)Popularity 0.4376 0.1289
Ghapanchi and Tavana (2015) Unix-like operating system \(\xrightarrow {\;+\;}\)Popularity 0.113 0.044
Beecher et al. (2008) Unix-like operating system \(\xrightarrow {\;+\;}\) Developer interest N.A.
Subramaniam et al. (2009) Unix-like operating system \(\xrightarrow {\;+\;}\) Developer interest 0.389 (|θ|=0.150)
Chang (2018) Communication effectiveness\(\xrightarrow {\;+\;}\) Project activity 0.285
Steward et al. (2006) Communication effectiveness\(\xrightarrow {\;+\;}\) Project activity 0.34
Senyard and Michlmayr (2004) Communication effectiveness\(\xrightarrow {\;+\;}\) Project activity N.A.
  1. 1Language is a sub-type indicator. Sub-type indicator is defined as an indicator can only divided into specific sub-type. For example, operating system is divided into Unix, windows and others, and project status is classified as stable, alpha, and beta. Therefore, language translation is divided by language type and the number of documents has been translated
  2. 2The two or three correlation values indicate the authors make experiments for two or three times in different periods