Dataciencia

Colección SciELO Chile

Using contexts similarity to predict relationships between tasks

Indexado

WoS	WOS:000401675000016
Scopus	SCOPUS_ID:85018458943

DOI

10.1016/J.JSS.2016.11.033

Año

2017

Tipo

artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras

Abstract

Our results show that context similarity is roughly as accurate to predict task relationships as comparing the textual content of the task descriptions. Context and content similarity models might thus be complementary in practice, depending on the availability of text descriptions or context data. We discuss several use cases for this research, e.g. to assist developers choose the next task or to recommend other tasks they should be aware of. (C) 2017 The Authors. Published by Elsevier Inc.

Revista

Revista	ISSN
Journal Of Systems And Software	0164-1212

Métricas Externas

PlumX	Altmetric	Dimensions

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Altmetric: https://www.altmetric.com/about-altmetrics/what-are-altmetrics/
Dimensions: https://www.dimensions.ai/why-dimensions/

Disciplinas de Investigación

WOS
Computer Science, Software Engineering
Computer Science, Theory & Methods

Scopus
Information Systems
Software
Hardware And Architecture

SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional

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Autores - Afiliación

Ord.	Autor	Género	Institución - País
1	Maalej, Walid	Hombre	UNIV HAMBURG - Alemania Universität Hamburg - Alemania
2	Ellmann, Mathias	Hombre	UNIV HAMBURG - Alemania Universität Hamburg - Alemania
3	Robbes, Romain	Hombre	Universidad de Chile - Chile

Muestra la afiliación y género (detectado) para los co-autores de la publicación.

Financiamiento

Fuente
FONDECYT
Fondo Nacional de Desarrollo Científico y Tecnológico
German Academic Exchange Service
Fondo Nacional de Desarrollo CientÃfico, TecnolÃ³gico y de InnovaciÃ³n TecnolÃ³gica
Food and Drug Administration
German Academic Exchange Service London
U.S. Food and Drug Administration
German Academic Exchange Service A1401226 DAAD

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos

Agradecimiento
We are grateful to the JSS reviewers for their feedback. We also would like to thank Vincenz Doelle and Amel Mahmuzic for helping with the implementation of the FDA model and execution of the field study and the experiment with students. We are thankful to all study participants in particular in the field study. Part of this work was funded by the German Academic Exchange Service A1401226 DAAD. R. Robbes is partially supported by FONDECYT project #1151195.
We are grateful to the JSS reviewers for their feedback. We also would like to thank Vincenz Doelle and Amel Mahmuzic for helping with the implementation of the FDA model and execution of the field study and the experiment with students. We are thankful to all study participants in particular in the field study. Part of this work was funded by the German Academic Exchange Service A1401226 DAAD. R. Robbes is partially supported by FONDECYT project #1151195.

Agradecimiento

We are grateful to the JSS reviewers for their feedback. We also would like to thank Vincenz Doelle and Amel Mahmuzic for helping with the implementation of the FDA model and execution of the field study and the experiment with students. We are thankful to all study participants in particular in the field study. Part of this work was funded by the German Academic Exchange Service A1401226 DAAD. R. Robbes is partially supported by FONDECYT project #1151195.