Open source software evaluation, selection, and sdoption: a systematic literature review

Background. Open Source Software (OSS) is experiencing an increasing popularity both in industry and in academia. Aim. We investigated models for the selection, evaluation, and adoption of OSS, focusing on factors that affect most the evaluation of OSS. Method. We conducted a Systematic Literature Review of 262 studies published until the end of 2019, to understand whether OSS selection is still an interesting topic for researchers, and which factors are considered by stakeholders and are assessed by the available models. Result. We selected 60 primary studies: 20 surveys and 5 lessons learned studies elicited the motivations for OSS adoption; 35 papers proposed several OSS evaluation models focusing on different technical aspects. This Systematic Literature Review provides an overview of the available OSS evaluation methods, highlighting their limits and strengths, based on the wide range of technicalities and aspects explored by the selected primary studies. Conclusion. OSS producers can benefit from our results by checking if they are providing all the information commonly required by potential adopters. Users can learn how models work and which models cover the relevant characteristics of OSS they are most interested in.