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The art and science of analyzing software data /
This book provides valuable information on analysis techniques often used to derive insight from software data. It shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science....
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Morgan Kaufmann/Elsevier,
[2015]
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | This book provides valuable information on analysis techniques often used to derive insight from software data. It shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. Topics include: analysis of security data; code reviews; app stores; log files; user telemetry; co-change, text, topic and concept analyses; release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. -- |
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| Descripción Física: | 1 online resource (xxiii, 660 pages) : illustrations (some color) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9780124115439 0124115438 0124115195 9780124115194 |