Migrating legacy web applications
- Autores
- Cajas, Viviana Elizabeth; Urbieta, Matías; Rossi, Gustavo Héctor; Rybarczyk, Yvez
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- Applications are a ubiquitous tool when running on mobile devices become an opportunity for a new digital business model. However, enterprises implemented the core business in legacy applications that are not designed to run properly on mobile devices. Consequently, this migration involves time and cost. The main contribution of this study to these limitations is an approach to assist this migration based on Markov chains that is a predictive user behaviour method that allows that available functionality is prioritized, the experience of User Interface is re-thought, and the new design is evaluated with a preliminary running version of the legacy app. An experiment on ten participants shows that a dynamic user interface that implements the Markov model provides the users with better usability, evidenced with an improvement of productivity labour and the Nielsen heuristics comparison between versions. This work suggests this model makes possible a smart and proactive interface design.
- Materia
-
Ciencias de la Computación e Información
IFML
Markov chains
Legacy adaptatio
Mobile devices - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10675
Ver los metadatos del registro completo
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Migrating legacy web applicationsCajas, Viviana ElizabethUrbieta, MatíasRossi, Gustavo HéctorRybarczyk, YvezCiencias de la Computación e InformaciónIFMLMarkov chainsLegacy adaptatioMobile devicesApplications are a ubiquitous tool when running on mobile devices become an opportunity for a new digital business model. However, enterprises implemented the core business in legacy applications that are not designed to run properly on mobile devices. Consequently, this migration involves time and cost. The main contribution of this study to these limitations is an approach to assist this migration based on Markov chains that is a predictive user behaviour method that allows that available functionality is prioritized, the experience of User Interface is re-thought, and the new design is evaluated with a preliminary running version of the legacy app. An experiment on ten participants shows that a dynamic user interface that implements the Markov model provides the users with better usability, evidenced with an improvement of productivity labour and the Nielsen heuristics comparison between versions. This work suggests this model makes possible a smart and proactive interface design.2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10675enginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s10586-020-03147-6info:eu-repo/semantics/altIdentifier/issn/1573-7543info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:20Zoai:digital.cic.gba.gob.ar:11746/10675Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:20.543CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Migrating legacy web applications |
title |
Migrating legacy web applications |
spellingShingle |
Migrating legacy web applications Cajas, Viviana Elizabeth Ciencias de la Computación e Información IFML Markov chains Legacy adaptatio Mobile devices |
title_short |
Migrating legacy web applications |
title_full |
Migrating legacy web applications |
title_fullStr |
Migrating legacy web applications |
title_full_unstemmed |
Migrating legacy web applications |
title_sort |
Migrating legacy web applications |
dc.creator.none.fl_str_mv |
Cajas, Viviana Elizabeth Urbieta, Matías Rossi, Gustavo Héctor Rybarczyk, Yvez |
author |
Cajas, Viviana Elizabeth |
author_facet |
Cajas, Viviana Elizabeth Urbieta, Matías Rossi, Gustavo Héctor Rybarczyk, Yvez |
author_role |
author |
author2 |
Urbieta, Matías Rossi, Gustavo Héctor Rybarczyk, Yvez |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias de la Computación e Información IFML Markov chains Legacy adaptatio Mobile devices |
topic |
Ciencias de la Computación e Información IFML Markov chains Legacy adaptatio Mobile devices |
dc.description.none.fl_txt_mv |
Applications are a ubiquitous tool when running on mobile devices become an opportunity for a new digital business model. However, enterprises implemented the core business in legacy applications that are not designed to run properly on mobile devices. Consequently, this migration involves time and cost. The main contribution of this study to these limitations is an approach to assist this migration based on Markov chains that is a predictive user behaviour method that allows that available functionality is prioritized, the experience of User Interface is re-thought, and the new design is evaluated with a preliminary running version of the legacy app. An experiment on ten participants shows that a dynamic user interface that implements the Markov model provides the users with better usability, evidenced with an improvement of productivity labour and the Nielsen heuristics comparison between versions. This work suggests this model makes possible a smart and proactive interface design. |
description |
Applications are a ubiquitous tool when running on mobile devices become an opportunity for a new digital business model. However, enterprises implemented the core business in legacy applications that are not designed to run properly on mobile devices. Consequently, this migration involves time and cost. The main contribution of this study to these limitations is an approach to assist this migration based on Markov chains that is a predictive user behaviour method that allows that available functionality is prioritized, the experience of User Interface is re-thought, and the new design is evaluated with a preliminary running version of the legacy app. An experiment on ten participants shows that a dynamic user interface that implements the Markov model provides the users with better usability, evidenced with an improvement of productivity labour and the Nielsen heuristics comparison between versions. This work suggests this model makes possible a smart and proactive interface design. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
acceptedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/10675 |
url |
https://digital.cic.gba.gob.ar/handle/11746/10675 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10586-020-03147-6 info:eu-repo/semantics/altIdentifier/issn/1573-7543 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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application/pdf |
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reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
reponame_str |
CIC Digital (CICBA) |
collection |
CIC Digital (CICBA) |
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
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CICBA |
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CICBA |
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CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
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1844618617708085248 |
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13.070432 |