TY - JOUR
T1 - Connecting domain-specific features to source code
T2 - towards the automatization of dashboard generation
AU - Vázquez-Ingelmo, Andrea
AU - García-Peñalvo, Francisco José
AU - Therón, Roberto
AU - Amo Filvà, Daniel
AU - Fonseca Escudero, David
N1 - Funding Information:
This research work has been supported by the Spanish Ministry of Education and Vocational Training under an FPU fellowship (FPU17/03276). This work has been partially funded by the Spanish Government Ministry of Economy and Competitiveness throughout the DEFINES project (Ref. TIN2016-80172-R), the PROVIDEDH project, funded within the CHIST-ERA Programme under the national grant agreement: PCIN-2017-064 (MINECO, Spain) and the Ministry of Education of the Junta de Castilla y Le?n (Spain) throughout the T-CUIDA project (Ref. SA061P17).
Funding Information:
This research work has been supported by the Spanish Ministry of Education and Vocational Training under an FPU fellowship (FPU17/03276). This work has been partially funded by the Spanish Government Ministry of Economy and Competitiveness throughout the DEFINES project (Ref. TIN2016-80172-R), the PROVIDEDH project, funded within the CHIST-ERA Programme under the national grant agreement: PCIN-2017-064 (MINECO, Spain) and the Ministry of Education of the Junta de Castilla y León (Spain) throughout the T-CUIDA project (Ref. SA061P17).
Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Dashboards are useful tools for generating knowledge and support decision-making processes, but the extended use of technologies and the increasingly available data asks for user-friendly tools that allow any user profile to exploit their data. Building tailored dashboards for any potential user profile would involve several resources and long development times, taking into account that dashboards can be framed in very different contexts that should be studied during the design processes to provide practical tools. This situation leads to the necessity of searching for methodologies that could accelerate these processes. The software product line paradigm is one recurrent method that can decrease the time-to-market of products by reusing generic core assets that can be tuned or configured to meet specific requirements. However, although this paradigm can solve issues regarding development times, the configuration of the dashboard is still a complex challenge; users’ goals, datasets, and context must be thoroughly studied to obtain a dashboard that fulfills the users’ necessities and that fosters insight delivery. This paper outlines the benefits and a potential approach to automatically configuring information dashboards by leveraging domain commonalities and code templates. The main goal is to test the functionality of a workflow that can connect external algorithms, such as artificial intelligence algorithms, to infer dashboard features and feed a generator based on the software product line paradigm.
AB - Dashboards are useful tools for generating knowledge and support decision-making processes, but the extended use of technologies and the increasingly available data asks for user-friendly tools that allow any user profile to exploit their data. Building tailored dashboards for any potential user profile would involve several resources and long development times, taking into account that dashboards can be framed in very different contexts that should be studied during the design processes to provide practical tools. This situation leads to the necessity of searching for methodologies that could accelerate these processes. The software product line paradigm is one recurrent method that can decrease the time-to-market of products by reusing generic core assets that can be tuned or configured to meet specific requirements. However, although this paradigm can solve issues regarding development times, the configuration of the dashboard is still a complex challenge; users’ goals, datasets, and context must be thoroughly studied to obtain a dashboard that fulfills the users’ necessities and that fosters insight delivery. This paper outlines the benefits and a potential approach to automatically configuring information dashboards by leveraging domain commonalities and code templates. The main goal is to test the functionality of a workflow that can connect external algorithms, such as artificial intelligence algorithms, to infer dashboard features and feed a generator based on the software product line paradigm.
KW - Artificial intelligence
KW - Automatic configuration
KW - Domain engineering
KW - Feature model
KW - Information dashboards
KW - Meta-model
KW - SPL
UR - https://www.scopus.com/pages/publications/85074801554
UR - https://hdl.handle.net/20.500.14342/3262
U2 - 10.1007/s10586-019-03012-1
DO - 10.1007/s10586-019-03012-1
M3 - Article
AN - SCOPUS:85074801554
SN - 1386-7857
VL - 23
SP - 1803
EP - 1816
JO - Cluster Computing
JF - Cluster Computing
IS - 3
ER -