Towards The Evaluation of OSS Trustworthiness: Lessons Learned From The Observation of Relevant OSS Projects

Abstract

Abstract.To facilitate the adoption of open-source software (OSS) in industry, it is important to provide potential users (i.e., those who could decide to adopt OSS) with the means for evaluating the trustworthiness of OS products. This paper presents part of the work done in the QualiPSo project for this purpose. A set of factors that are believed to affect the perception of trustworthiness are introduced. In order to test the feasibility of deriving a correct, complete and reliable evaluation of trustworthiness on the basis of these factors, a set of well-known OSS projects have been chosen. Then, the possibility to assess the proposed factors on each project was verified: not all the factors appear to be observable or measurable. The paper reports what information is available to support the evaluation and what is not. This knowledge is considered to be useful to users, who are warned that there are still dark areas in the characterization of OSS products, and to developers, who should provide more data and characteristics on their products in order to support their adoption.

Can Opinion Mining Techniques Help to Select Open Source Software?

“…Moreover, in another recent work, [6] we ran another survey to identify the recent motivations for the adoption of OSS and also in this case, the opinions were also considered as important. Results are also confirmed by several empirical study such as [7][8][9][10][11][12][13]. The idea of using opinion mining techniques have been proposed in several work [13,14] Based on the aforementioned work, we believe that the investigation of an automated opinion extraction tool would be valuable for OSS users [6].…”

Attributes Oriented Software Trustworthiness Measure Based on Axiomatic Approaches

“…The first category converts the software trustworthiness measurements into the selection, measures, and synthesis of trustworthy attributes. Representative ones include axiomatic approaches [4][5][6][7]11], dynamic system [12], evidence theory [13], data mining [14], uncertain theory [15][16], Bayesian Networks [17], questionnaire survey and statistical analysis [18][19], and so on.…”

Why Do Developers Adopt Open Source Software? Past, Present and Future

“…In 2009, Del Bianco et al provided an evidence-based models for the evaluating OSS trustworthiness based on objective measures of OSS [19,[21][22][23]. They collected 100 questionnaires, containing 722 product evaluations [8].…”