A Context-Based Perspective on Frost Analysis in Reuse-Oriented Big Data-System Developments
The large amount of available data, generated every second via sensors, social networks, organizations, and so on, has generated new lines of research that involve novel methods, techniques, resources, and/or technologies. The development of big data systems (BDSs) can be approached from different p...
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MDPI AG
2024-10-01
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| author | Agustina Buccella Alejandra Cechich Federico Saurin Ayelén Montenegro Andrea Rodríguez Angel Muñoz |
| author_facet | Agustina Buccella Alejandra Cechich Federico Saurin Ayelén Montenegro Andrea Rodríguez Angel Muñoz |
| author_sort | Agustina Buccella |
| collection | DOAJ |
| description | The large amount of available data, generated every second via sensors, social networks, organizations, and so on, has generated new lines of research that involve novel methods, techniques, resources, and/or technologies. The development of big data systems (BDSs) can be approached from different perspectives, all of them useful, depending on the objectives pursued. In particular, in this work, we address BDSs in the area of software engineering, contributing to the generation of novel methodologies and techniques for software reuse. In this article, we propose a methodology to develop reusable BDSs by mirroring activities from software product line engineering. This means that the process of building BDSs is approached by analyzing the <i>variety</i> of domain features and modeling them as a family of related assets. The contextual perspective of the proposal, along with its supporting tool, is introduced through a case study in the agrometeorology domain. The characterization of variables for frost analysis exemplifies the importance of identifying variety, as well as the possibility of reusing previous analyses adjusted to the profile of each case. In addition to showing interesting findings from the case, we also exemplify our concept of <i>context variety</i>, which is a core element in modeling reusable BDSs. |
| format | Article |
| id | doaj-art-123515fa7fc44f229ec2faf1f0f540dd |
| institution | Kabale University |
| issn | 2078-2489 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-123515fa7fc44f229ec2faf1f0f540dd2024-11-26T18:06:29ZengMDPI AGInformation2078-24892024-10-01151166110.3390/info15110661A Context-Based Perspective on Frost Analysis in Reuse-Oriented Big Data-System DevelopmentsAgustina Buccella0Alejandra Cechich1Federico Saurin2Ayelén Montenegro3Andrea Rodríguez4Angel Muñoz5GIISCO Research Group, Departamento de Ingeniería de Sistemas, Facultad de Informática, Universidad Nacional del Comahue, Neuquen 8300, ArgentinaGIISCO Research Group, Departamento de Ingeniería de Sistemas, Facultad de Informática, Universidad Nacional del Comahue, Neuquen 8300, ArgentinaGIISCO Research Group, Departamento de Ingeniería de Sistemas, Facultad de Informática, Universidad Nacional del Comahue, Neuquen 8300, ArgentinaInstituto Nacional de Tecnología Agropecuaria (INTA), Alto Valle de Río Negro y Neuquén, Allen 8328, ArgentinaInstituto Nacional de Tecnología Agropecuaria (INTA), Alto Valle de Río Negro y Neuquén, Allen 8328, ArgentinaInstituto Nacional de Tecnología Agropecuaria (INTA), Alto Valle de Río Negro y Neuquén, Allen 8328, ArgentinaThe large amount of available data, generated every second via sensors, social networks, organizations, and so on, has generated new lines of research that involve novel methods, techniques, resources, and/or technologies. The development of big data systems (BDSs) can be approached from different perspectives, all of them useful, depending on the objectives pursued. In particular, in this work, we address BDSs in the area of software engineering, contributing to the generation of novel methodologies and techniques for software reuse. In this article, we propose a methodology to develop reusable BDSs by mirroring activities from software product line engineering. This means that the process of building BDSs is approached by analyzing the <i>variety</i> of domain features and modeling them as a family of related assets. The contextual perspective of the proposal, along with its supporting tool, is introduced through a case study in the agrometeorology domain. The characterization of variables for frost analysis exemplifies the importance of identifying variety, as well as the possibility of reusing previous analyses adjusted to the profile of each case. In addition to showing interesting findings from the case, we also exemplify our concept of <i>context variety</i>, which is a core element in modeling reusable BDSs.https://www.mdpi.com/2078-2489/15/11/661reusabilitybig data systemsvariety identificationagrometeorology domain |
| spellingShingle | Agustina Buccella Alejandra Cechich Federico Saurin Ayelén Montenegro Andrea Rodríguez Angel Muñoz A Context-Based Perspective on Frost Analysis in Reuse-Oriented Big Data-System Developments Information reusability big data systems variety identification agrometeorology domain |
| title | A Context-Based Perspective on Frost Analysis in Reuse-Oriented Big Data-System Developments |
| title_full | A Context-Based Perspective on Frost Analysis in Reuse-Oriented Big Data-System Developments |
| title_fullStr | A Context-Based Perspective on Frost Analysis in Reuse-Oriented Big Data-System Developments |
| title_full_unstemmed | A Context-Based Perspective on Frost Analysis in Reuse-Oriented Big Data-System Developments |
| title_short | A Context-Based Perspective on Frost Analysis in Reuse-Oriented Big Data-System Developments |
| title_sort | context based perspective on frost analysis in reuse oriented big data system developments |
| topic | reusability big data systems variety identification agrometeorology domain |
| url | https://www.mdpi.com/2078-2489/15/11/661 |
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