dc.contributor.author | Vidal-Silva, Cristian | |
dc.date.accessioned | 2019-09-12T19:30:05Z | |
dc.date.available | 2019-09-12T19:30:05Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 2319-7064 | |
dc.identifier.other | 10.14569/IJACSA.2019.0100168 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12536/317 | |
dc.description.abstract | A Feature Model (FM) is an information model to
represent commonalities and variabilities for all the products of a
Software Product Line (SPL). The complexity and big size of real
feature models makes their manual analysis for determining the
product configurations validity a tedious or even infeasible task.
Efficient solutions for the diagnosis of errors in the Automated
Analysis of Feature Models (AAFM) already exist such as FMDiag
and FlexDiag. Thus, this work describes the fundamental basis
for both diagnosis algorithms to apply the first of them on the
validity of FM product configurations. The results highlight the
applicability and efficiency of FMDiag and invite us to look for
additional applications of that algorithm in the AAFM scenarios. | es_ES |
dc.language.iso | es | es_ES |
dc.source | (IJACSA) International Journal of Advanced Computer Science and Applications | |
dc.subject | AAFM | es_ES |
dc.subject | Feature model | es_ES |
dc.subject | Valid product | es_ES |
dc.subject | Valid configuration | es_ES |
dc.subject | FMDiag | es_ES |
dc.subject | FlexDiag | es_ES |
dc.title | Reviewing Diagnosis Solutions for Valid Product Configurations in the Automated Analysis of Feature Models | es_ES |
dc.type | Artículo de revista | es_ES |
uvm.escuela | Escuela de Ingeniería y Negocios | es_ES |
uvm.index | Scopus | |