Antonio de Amescua Seco

Prof. Dr. Antonio de Amescua Seco

Computer Science and Engineering Department, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganés, Madrid, Spain
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
3 April 2010 in Software Quality Journal
Verified
Journal Article
Closed access
PDF file
JGJavier Garcia-Guzman
Javier Garcia-Guzman
JRJavier Saldaña Ramos
Javier Saldaña Ramos
Antonio de Amescua SecoAntonio de Amescua Seco
Antonio de Amescua Seco
AEAna Sanz Esteban
Ana Sanz Esteban

1 April 2010 in Information Sciences
Verified
Journal Article
Closed access
Maria-Isabel Sanchez-SeguraMaria-Isabel Sanchez-Segura
Maria-Isabel Sanchez-Segura
Fuensanta Medina-DominguezFuensanta Medina-Dominguez
Fuensanta Medina-Dominguez
Antonio de Amescua SecoAntonio de Amescua Seco
Antonio de Amescua Seco
AMArturo Mora-Soto
Arturo Mora-Soto

7 December 2020 in Journal of Software: Evolution and Process
Verified
Journal Article
Closed access
PDF file
Maria-Isabel Sanchez-SeguraMaria-Isabel Sanchez-Segura
Maria-Isabel Sanchez-Segura
FMFuensanta Medina‐Dominguez
Fuensanta Medina‐Dominguez
Antonio de Amescua SecoAntonio de Amescua Seco
Antonio de Amescua Seco
German-Lenin Dugarte-PeñaGerman-Lenin Dugarte-Peña
German-Lenin Dugarte-Peña



1 May 2022 in Knowledge Management Research & Practice
Verified
Journal Article
Closed access
German-Lenin Dugarte-PeñaGerman-Lenin Dugarte-Peña
German-Lenin Dugarte-Peña
Maria-Isabel Sanchez-SeguraMaria-Isabel Sanchez-Segura
Maria-Isabel Sanchez-Segura
FMFuensanta Medina-Domínguez
Fuensanta Medina-Domínguez
Antonio de Amescua SecoAntonio de Amescua Seco
Antonio de Amescua Seco
CGCleotilde Gonzalez
Cleotilde Gonzalez
Software engineering professionals must consider the appropriate technological solutions to meet their client’s needs and the organisational impact. The decision to implement a solution is not explicitly based on how it empowers the knowledge assets. Organisational knowledge assets are the foundation of the knowledge economy and a key element in evaluating the health of an organisation. This paper provides software engineers with a simulation model which illustrates the decision-making process for the implementation of technological solutions based on an evaluation of their client’s knowledge assets and how such assets impact and are impacted by the deployment of a solution. We use an agent-based approach and implement an instance-based learning model (a cognitive approach) to represent scenarios for experience-based decisions. 11 case studies were used to train the prediction engine and validate the usefulness of the model in generating scenarios and nurturing decision-making and user experiences.