Exploring Factors and Measures to Select Open Source Software

02/19/2021
by   Xiaozhou Li, et al.
0

[Context] Open Source Software (OSS) is nowadays used and integrated in most of the commercial products. However, the selection of OSS projects for integration is not a simple process, mainly due to a of lack of clear selection models and lack of information from the OSS portals. [Objective] We investigated the current factors and measures that practitioners are currently considering when selecting OSS, the source of information and portals that can be used to assess the factors, and the possibility to automatically get this information with APIs. [Method] We elicited the factors and the measures adopted to assess and compare OSS performing a survey among 23 experienced developers who often integrate OSS in the software they develop. Moreover, we investigated the APIs of the portals adopted to assess OSS extracting information for the most starred 100K projects in GitHub. [Result] We identified a set consisting of 8 main factors and 74 sub-factors, together with 170 related metrics that companies can use to select OSS to be integrated in their software projects. Unexpectedly, only a small part of the factors can be evaluated automatically, and out of 170 metrics, only 40 are available, of which only 22 returned information for all the 100K projects. [Conclusion.] OSS selection can be partially automated, by extracting the information needed for the selection from portal APIs. OSS producers can benefit from our results by checking if they are providing all the information commonly required by potential adopters. Developers can benefit from our results, using the list of factors we selected as a checklist during the selection of OSS, or using the APIs we developed to automatically extract the data from OSS projects.

READ FULL TEXT
02/24/2021

OSS PESTO: An Open Source Software Project Evaluation and Selection TOol

Open source software (OSS), playing an increasingly critical role nowada...
03/02/2021

An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent

Open source software has drawn more and more attention from researchers,...
03/08/2018

Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub

Hosting over 10 million of software projects, GitHub is one of the most ...
11/09/2018

Influence of Technical and Social Factors for Introducing Bugs

As the modern open-source paradigm makes it easier to contribute to soft...
11/10/2018

Understanding the Motivations, Challenges and Needs of Blockchain Software Developers: A Survey

The blockchain technology has potential applications in various areas su...
07/30/2018

Automatic Clone Recommendation for Refactoring Based on the Present and the Past

When many clones are detected in software programs, not all clones are e...
09/20/2018

Should I Bug You? Identifying Domain Experts in Software Projects Using Code Complexity Metrics

In any sufficiently complex software system there are experts, having a ...