Toward a Token-Based Approach to Concern Detection in Matlab Sources

AuthID
P-00M-YHK
5
Author(s)
Marques, NC
·
Silva, B
·
Palma, B
·
4
Editor(es)
Oliveira,E;Gama,J;Vale,Z;Cardoso,HL
Tipo de Documento
Proceedings Paper
Year published
2017
Publicado
in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017) in Lecture Notes in Artificial Intelligence, ISSN: 0302-9743
Volume: 10423, Páginas: 573-584 (12)
Conference
18Th Epia Conference on Artificial Intelligence (Epia), Date: SEP 05-08, 2017, Location: Univ Porto, Fac Engn, Porto, PORTUGAL, Patrocinadores: EPIA, Univ Porto, Artificial Intelligence & Comp Sci Lab, INESC TEC, Lab Artificial Intelligence & Decis Support, Inst Engn Polytechn Porto, Intelligent Engn & Comp Adv Innovat & Dev Res Grp, Host: Univ Porto, Fac Engn
Indexing
Publication Identifiers
DBLP: conf/epia/MonteiroMSPC17
SCOPUS: 2-s2.0-85028979281
Wos: WOS:000452455800047
Source Identifiers
ISSN: 0302-9743
Export Publication Metadata
Citações
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.



CORE Conference
No information about CORE Rank

During the preprocessing phase, only publications of type 'Proceedings Paper' or 'Proceedings' are automatically processed to identify their CORE Rank.

TIP: If your publication's CORE Rank is missing, you can contact with your institutional manager to have the correct ranking manually added to the record.

Journal Factors
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

Info
At this moment we don't have any links to full text documens.