Application of Computational Linguistics Techniques for Improving Software Quality
Progress in Artificial Intelligence, Big Data and Computational Linguistics domains offered new way to perform n-depth analysis and evidence-based quality assessments of open source software components. In this paper we will see how this can be integrated into industrial development to improve the quality of developed software.
KeywordsComputational Linguistics Big Data Sentiment analysis
The research described has been carried out as part of the CROSSMINER Project, which has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 732223.
- 1.Boudeffa, A., Bagnato, A., Abherve, A., Di Ruscio, D., Mateus, M., Almeida, B.: Integrating and deploying heterogeneous components by means of a microservice architecture in the CROSSMINER project. STAF-CE 1(5), 61–66 (2019) Google Scholar
- 3.Edge Hill University: D3.4 Natural Language Components, 27 December 2017 FinalGoogle Scholar