Trust evaluation in virtual software development teams using BERT-based language models

Abstract

Nowadays, people from different geographical areas can be closely related thanks to advances in information and communication technologies. This has a greater impact in software development organizations where their members form virtual work teams. In these new co-located work scenarios, the construction of interpersonal trust is more complex and its impact is very relevant in the performance of software development teams. This paper presents the results of the performanceevaluation of four pre-trained language models based on BERT applied to trust analysis tasks. For this work, a small dataset of 1453 comments obtained from software projects stored on Github was created. The evaluated language models achieved moderately good values, in the order of 0.84 for the F1-score metric, which augurs that with further research they could be significantly improved.