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dc.contributor.author
Miranda, Enrique Alfredo  
dc.contributor.author
Abdelahad, Corina Natalia  
dc.contributor.author
Berón, Mario Marcelo  
dc.contributor.author
Riesco, Daniel Edgardo  
dc.date.available
2022-02-18T14:00:37Z  
dc.date.issued
2015-12  
dc.identifier.citation
Miranda, Enrique Alfredo; Abdelahad, Corina Natalia; Berón, Mario Marcelo; Riesco, Daniel Edgardo; Inferring Use-cases from GUI Analysis; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 13; 12; 12-2015; 3942-3952  
dc.identifier.issn
1548-0992  
dc.identifier.uri
http://hdl.handle.net/11336/152294  
dc.description.abstract
One of the most arduous and tedious tasks in the life cycle of an application is Software Maintenance and Evolution. In this context, the most time-consuming activities are those that the programmer must execute to get a complete understanding of the system. Based on this need, Program Comprehension (PC), a Software Engineering discipline, arises to tackle the problem. This article presents SSPIA, a strategy that assists software engineers to understand a system by inferring its use case model. SSPIA uses concepts, techniques and tools of PC to carry out its purposes. In order to extract use cases, some specific system static information is collected. This information serves as input to a process that implements a clustering technique based on systems Graphical User Interface (GUI). Almost all clustering techniques take as main criteria graphs structural properties. However, in the context of PC, some Problem Domain information must be considered. The strategy proposed in this article takes into account an essential component strongly related to systems Problem Domain: Graphic User Interfaces. As a main aim, the proposed strategy seeks to assist the arduous cognitive process that involves understanding a system.  
dc.format
application/pdf  
dc.language.iso
spa  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CLUSTERING  
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INFORMATION EXTRACTION  
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PROGRAM COMPREHENSION  
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REVERSE ENGINEERING  
dc.subject.classification
Ciencias de la Computación  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Inferring Use-cases from GUI Analysis  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-02-09T14:23:00Z  
dc.journal.volume
13  
dc.journal.number
12  
dc.journal.pagination
3942-3952  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Albuquerque  
dc.description.fil
Fil: Miranda, Enrique Alfredo. Universidad Nacional de San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina  
dc.description.fil
Fil: Abdelahad, Corina Natalia. Universidad Nacional de San Luis; Argentina  
dc.description.fil
Fil: Berón, Mario Marcelo. Universidad Nacional de San Luis; Argentina  
dc.description.fil
Fil: Riesco, Daniel Edgardo. Universidad Nacional de San Luis; Argentina  
dc.journal.title
IEEE Latin America Transactions  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7404931&filter%3DAND%28p_IS_Number%3A7404895%29%26pageNumber%3D2  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2015.7404931