Software Engineering and Data Science
This reprint focuses on data-driven software solutions and their impact on research and development at the academic, industry, business, and government levels to exploit the hidden knowledge and big data that can be offered to cities and citizens in the future. Data-driven software solutions are dif...
I tiakina i:
| Hōputu: | Online |
|---|---|
| Reo: | Ingarihi |
| I whakaputaina: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20230202_9783036564401_149 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869518992577658880 |
|---|---|
| collection | Directory of Open Access Books |
| description | This reprint focuses on data-driven software solutions and their impact on research and development at the academic, industry, business, and government levels to exploit the hidden knowledge and big data that can be offered to cities and citizens in the future. Data-driven software solutions are different from “traditional” software development projects, as the focus of the main development core is on managing the data (e.g., data store and data quality) and designing behavioral models with the aid of artificial intelligence and machine learning techniques. To this end, new life cycles, algorithms, methods, processes, and tools are required. This reprint is centered on the recent trends and advancements in the field of engineering data-intensive software solutions to address the challenges in developing, testing, and maintaining such data-driven systems, with a focus on the application of data-driven solutions to real-life problems and techniques and algorithms addressing the different challenges of data-driven software engineering. |
| format | Online |
| id | doab-20.500.12854ir-96748 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-967482024-03-30T12:51:06Z Software Engineering and Data Science Tosi, Davide COVID-19 SARS-CoV-2 data analytics schools’ impact Google mobility impact feature selection ontology text classification machine-learning SARS-COV-2 Bayesian regression changepoint detection European football championship big data delay-tolerant network (DTN) multi-attribute decision making public transport energy consumption software development process operations software engineering information system development team structure Software Library Recommendation graph filters dependency graphs link prediction n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries This reprint focuses on data-driven software solutions and their impact on research and development at the academic, industry, business, and government levels to exploit the hidden knowledge and big data that can be offered to cities and citizens in the future. Data-driven software solutions are different from “traditional” software development projects, as the focus of the main development core is on managing the data (e.g., data store and data quality) and designing behavioral models with the aid of artificial intelligence and machine learning techniques. To this end, new life cycles, algorithms, methods, processes, and tools are required. This reprint is centered on the recent trends and advancements in the field of engineering data-intensive software solutions to address the challenges in developing, testing, and maintaining such data-driven systems, with a focus on the application of data-driven solutions to real-life problems and techniques and algorithms addressing the different challenges of data-driven software engineering. 2023-02-02T16:46:45Z 2023-02-02T16:46:45Z 2023 book ONIX_20230202_9783036564401_149 9783036564401 9783036564418 https://directory.doabooks.org/handle/20.500.12854/96748 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6694 https://mdpi.com/books/pdfview/book/6694 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6441-8 10.3390/books978-3-0365-6441-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036564401 9783036564418 132 Basel open access |
| spellingShingle | COVID-19 SARS-CoV-2 data analytics schools’ impact Google mobility impact feature selection ontology text classification machine-learning SARS-COV-2 Bayesian regression changepoint detection European football championship big data delay-tolerant network (DTN) multi-attribute decision making public transport energy consumption software development process operations software engineering information system development team structure Software Library Recommendation graph filters dependency graphs link prediction n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Software Engineering and Data Science |
| title | Software Engineering and Data Science |
| title_full | Software Engineering and Data Science |
| title_fullStr | Software Engineering and Data Science |
| title_full_unstemmed | Software Engineering and Data Science |
| title_short | Software Engineering and Data Science |
| title_sort | software engineering and data science |
| topic | COVID-19 SARS-CoV-2 data analytics schools’ impact Google mobility impact feature selection ontology text classification machine-learning SARS-COV-2 Bayesian regression changepoint detection European football championship big data delay-tolerant network (DTN) multi-attribute decision making public transport energy consumption software development process operations software engineering information system development team structure Software Library Recommendation graph filters dependency graphs link prediction n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | COVID-19 SARS-CoV-2 data analytics schools’ impact Google mobility impact feature selection ontology text classification machine-learning SARS-COV-2 Bayesian regression changepoint detection European football championship big data delay-tolerant network (DTN) multi-attribute decision making public transport energy consumption software development process operations software engineering information system development team structure Software Library Recommendation graph filters dependency graphs link prediction n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20230202_9783036564401_149 |