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Reference TypeConference Proceedings
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/43F88E8
Repositorysid.inpe.br/mtc-m21c/2020/10.23.12.37
Metadatasid.inpe.br/mtc-m21c/2020/10.23.12.37.19
Metadata Last Update2020:10.24.10.46.17 administrator
Secondary KeyINPE--PRE/
Citation KeySilvaSaSoMeFeVi:2020:SyMa
TitleExtraction of useful information from unstructured data in software engineering: a systematic mapping
Year2020
Date09-13 nov.
Access Date2020, Nov. 26
Context area
Author1 Silva, Patrick R.
2 Santos, Vinícius dos
3 Souza, Érica F.
4 Meinerz, Giovani V.
5 Felizardo, K. R.
6 Vijaykumar, Nandamudi Lankalapalli
Resume Identifier1
2
3
4
5
6 8JMKD3MGP5W/3C9JHTU
Group1
2
3
4
5
6 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation1 Universidade Tecnológica Federal do Paraná (UTFPR)
2 Universidade de São Paulo (USP)
3 Universidade Tecnológica Federal do Paraná (UTFPR)
4 Universidade Tecnológica Federal do Paraná (UTFPR)
5 Universidade Tecnológica Federal do Paraná (UTFPR)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 patrick.1985@alunos.utfpr.edu.br
2 vinicius.dos.santos@usp.br
3 ericasouza@utfpr.edu.br
4 giovanimeinerz@utfpr.edu.br
5 katiascannavino@utfpr.edu.br
6 vijay.nl@inpe.br
Conference NameIberoamerican Conference on Software Engineering, 23
Conference LocationCuritiba, PR
History2020-10-23 12:37:51 :: simone -> administrator :: 2020
2020-10-24 10:46:17 :: administrator -> simone :: 2020
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Document Stagecompleted
Document Stagenot transferred
Transferable1
Content TypeExternal Contribution
Secondary TypePRE CI
Keywordssoftware engineering, systematic mapping, textual analysis, useful information.
AbstractContext: 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.
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Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3ESGTTP
Host Collectionurlib.net/www/2017/11.22.19.04
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