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....
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam
Morgan Kaufmann/Elsevier
[2015]
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| Schlagwörter: | |
| Links: | http://www.sciencedirect.com/science/book/9780124115194 http://www.sciencedirect.com/science/book/9780124115194 |
| Zusammenfassung: | 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. -- |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 online resource (xxiii, 660 pages) illustrations (some color) |
| ISBN: | 9780124115439 0124115438 0124115195 9780124115194 |
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Datensatz im Suchindex
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| author2 | Bird, Christian Menzies, Tim Zimmermann, Thomas |
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| dewey-full | 006.312 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.312 |
| dewey-search | 006.312 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV046126922 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:43:46Z |
| institution | BVB |
| isbn | 9780124115439 0124115438 0124115195 9780124115194 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031507375 |
| oclc_num | 920465904 |
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| physical | 1 online resource (xxiii, 660 pages) illustrations (some color) |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2015 |
| publishDateSearch | 2015 |
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| publisher | Morgan Kaufmann/Elsevier |
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| spelling | The art and science of analyzing software data [edited by] Christian Bird, Tim Menzies, Thomas Zimmermann Amsterdam Morgan Kaufmann/Elsevier [2015] © 2015 1 online resource (xxiii, 660 pages) illustrations (some color) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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. -- COMPUTERS / Database Management / Data Mining bisacsh Computer programming / Management fast Data mining fast Data mining Computer programming Management Datenanalyse (DE-588)4123037-1 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Softwareentwicklung (DE-588)4116522-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s Data Mining (DE-588)4428654-5 s Softwareentwicklung (DE-588)4116522-6 s 1\p DE-604 Bird, Christian edt Menzies, Tim edt Zimmermann, Thomas edt Erscheint auch als Druck-Ausgabe 9780124115194 http://www.sciencedirect.com/science/book/9780124115194 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | The art and science of analyzing software data COMPUTERS / Database Management / Data Mining bisacsh Computer programming / Management fast Data mining fast Data mining Computer programming Management Datenanalyse (DE-588)4123037-1 gnd Data Mining (DE-588)4428654-5 gnd Softwareentwicklung (DE-588)4116522-6 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4428654-5 (DE-588)4116522-6 |
| title | The art and science of analyzing software data |
| title_auth | The art and science of analyzing software data |
| title_exact_search | The art and science of analyzing software data |
| title_full | The art and science of analyzing software data [edited by] Christian Bird, Tim Menzies, Thomas Zimmermann |
| title_fullStr | The art and science of analyzing software data [edited by] Christian Bird, Tim Menzies, Thomas Zimmermann |
| title_full_unstemmed | The art and science of analyzing software data [edited by] Christian Bird, Tim Menzies, Thomas Zimmermann |
| title_short | The art and science of analyzing software data |
| title_sort | the art and science of analyzing software data |
| topic | COMPUTERS / Database Management / Data Mining bisacsh Computer programming / Management fast Data mining fast Data mining Computer programming Management Datenanalyse (DE-588)4123037-1 gnd Data Mining (DE-588)4428654-5 gnd Softwareentwicklung (DE-588)4116522-6 gnd |
| topic_facet | COMPUTERS / Database Management / Data Mining Computer programming / Management Data mining Computer programming Management Datenanalyse Data Mining Softwareentwicklung |
| url | http://www.sciencedirect.com/science/book/9780124115194 |
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