Big Data Benefits for the Software Measurement Community
| Autor: | Jan Hentschel, Andreas Schmietendorf, Reiner R. Dumke |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science 05 social sciences Big data 050301 education Context (language use) Cloud computing 02 engineering and technology Data science Empirical research 020204 information systems 0202 electrical engineering electronic engineering information engineering Data analysis business 0503 education Software measurement |
| Zdroj: | IWSM-Mensura |
| DOI: | 10.1109/iwsm-mensura.2016.025 |
| Popis: | The methods, models and technologies in the context of Big Data approaches has coined a new understanding of empirical analyses. First success stories of such kind of analytic data base systems exist in many domains. This research follows the question if software measurement can take advantages from Big Data. Considering the problems in software measurement applications and practice are described using the Big Data approaches and existing resources. Important for large empirical studies are a new kind of data sources driven by cloud based development solutions. Therefore, we concentrate on the available project data managed by GitHub. Examples of Big Data applications demonstrate their benefits in software measurement practices and communities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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