%0 Conference Proceedings
%4 sid.inpe.br/mtc-m21c/2020/10.23.12.37
%2 sid.inpe.br/mtc-m21c/2020/10.23.12.37.19
%T Extraction of useful information from unstructured data in software engineering: a systematic mapping
%D 2020
%A Silva, Patrick R.,
%A Santos, Vinícius dos,
%A Souza, Érica F.,
%A Meinerz, Giovani V.,
%A Felizardo, K. R.,
%A Vijaykumar, Nandamudi Lankalapalli,
%@affiliation Universidade Tecnológica Federal do Paraná (UTFPR)
%@affiliation Universidade de São Paulo (USP)
%@affiliation Universidade Tecnológica Federal do Paraná (UTFPR)
%@affiliation Universidade Tecnológica Federal do Paraná (UTFPR)
%@affiliation Universidade Tecnológica Federal do Paraná (UTFPR)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress patrick.1985@alunos.utfpr.edu.br
%@electronicmailaddress vinicius.dos.santos@usp.br
%@electronicmailaddress ericasouza@utfpr.edu.br
%@electronicmailaddress giovanimeinerz@utfpr.edu.br
%@electronicmailaddress katiascannavino@utfpr.edu.br
%@electronicmailaddress vijay.nl@inpe.br
%B Iberoamerican Conference on Software Engineering, 23
%C Curitiba, PR
%8 09-13 nov.
%K software engineering, systematic mapping, textual analysis, useful information.
%X Context: A large number of information is generated and manipulated in Software Engineering (SE) projects. The technology surrounding this domain is constantly evolving. To keep up with such evolution, developers share their knowledge and seek help from other developers by means of interactive and collaborative environments. Understanding and extracting knowledge from these environments can enable developers to identify useful information for the project. Objective: This work aims to identify the main textual analysis approaches to extract useful information in the SE. Method: To achieve the proposed objective, we conducted a Systematic Mapping (SM). Results: We analyzed 69 relevant primary studies addressing approaches to extract useful information in the SE. Conclusion: Among the main conclusions of this study, we can infer that discussion forums attracted a significantly attention in SE context and it becomes one of the main textual databases investigated to extract useful information.
%3 silva_extraction.pdf