Sharing data and models in software engineering:
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Waltham, Massachusetts
Morgan Kaufmann
[2015]
|
| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext |
| Zusammenfassung: | Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects |
| Beschreibung: | Includes bibliographical references (pages 357-378) and index |
| Beschreibung: | 1 online resource (xxvii, 386 pages) illustrations (some color) |
| ISBN: | 9780124173071 0124173071 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV046126712 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 190827s2015 |||| o||u| ||||||eng d | ||
| 020 | |a 9780124173071 |9 978-0-12-417307-1 | ||
| 020 | |a 0124173071 |9 0-12-417307-1 | ||
| 035 | |a (ZDB-33-ESD)ocn896901265 | ||
| 035 | |a (OCoLC)896901265 | ||
| 035 | |a (DE-599)BVBBV046126712 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 005.1 |2 23 | |
| 084 | |a ST 230 |0 (DE-625)143617: |2 rvk | ||
| 245 | 1 | 0 | |a Sharing data and models in software engineering |c Tim Menzies [and four others] ; designer, Mark Rogers |
| 264 | 1 | |a Waltham, Massachusetts |b Morgan Kaufmann |c [2015] | |
| 264 | 4 | |c © 2015 | |
| 300 | |a 1 online resource (xxvii, 386 pages) |b illustrations (some color) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references (pages 357-378) and index | ||
| 520 | |a Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects | ||
| 650 | 7 | |a COMPUTERS / Software Development & Engineering / Quality Assurance & Testing |2 bisacsh | |
| 650 | 7 | |a Data structures (Computer science) |2 fast | |
| 650 | 7 | |a Software engineering |2 fast | |
| 650 | 4 | |a Software engineering | |
| 650 | 4 | |a Data structures (Computer science) | |
| 650 | 0 | 7 | |a Software Engineering |0 (DE-588)4116521-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Modellierung |0 (DE-588)4170297-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Verteiltes System |0 (DE-588)4238872-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Software Engineering |0 (DE-588)4116521-4 |D s |
| 689 | 0 | 1 | |a Verteiltes System |0 (DE-588)4238872-7 |D s |
| 689 | 0 | 2 | |a Modellierung |0 (DE-588)4170297-9 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Menzies, Tim |e Sonstige |4 oth | |
| 700 | 1 | |a Rogers, Mark |4 dsr | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 0124172954 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780124172951 |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780124172951 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-33-ESD | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-031507166 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://www.sciencedirect.com/science/book/9780124172951 |l FLA01 |p ZDB-33-ESD |q FLA_PDA_ESD |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804180447093063680 |
|---|---|
| any_adam_object | |
| author2 | Rogers, Mark |
| author2_role | dsr |
| author2_variant | m r mr |
| author_facet | Rogers, Mark |
| building | Verbundindex |
| bvnumber | BV046126712 |
| classification_rvk | ST 230 |
| collection | ZDB-33-ESD |
| ctrlnum | (ZDB-33-ESD)ocn896901265 (OCoLC)896901265 (DE-599)BVBBV046126712 |
| dewey-full | 005.1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.1 |
| dewey-search | 005.1 |
| dewey-sort | 15.1 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03558nmm a2200553zc 4500</leader><controlfield tag="001">BV046126712</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190827s2015 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780124173071</subfield><subfield code="9">978-0-12-417307-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0124173071</subfield><subfield code="9">0-12-417307-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-ESD)ocn896901265</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)896901265</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046126712</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.1</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 230</subfield><subfield code="0">(DE-625)143617:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sharing data and models in software engineering</subfield><subfield code="c">Tim Menzies [and four others] ; designer, Mark Rogers</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Waltham, Massachusetts</subfield><subfield code="b">Morgan Kaufmann</subfield><subfield code="c">[2015]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xxvii, 386 pages)</subfield><subfield code="b">illustrations (some color)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 357-378) and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Software Development & Engineering / Quality Assurance & Testing</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data structures (Computer science)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Software engineering</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Software engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data structures (Computer science)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Software Engineering</subfield><subfield code="0">(DE-588)4116521-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Modellierung</subfield><subfield code="0">(DE-588)4170297-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Verteiltes System</subfield><subfield code="0">(DE-588)4238872-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Software Engineering</subfield><subfield code="0">(DE-588)4116521-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Verteiltes System</subfield><subfield code="0">(DE-588)4238872-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Modellierung</subfield><subfield code="0">(DE-588)4170297-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Menzies, Tim</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rogers, Mark</subfield><subfield code="4">dsr</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">0124172954</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780124172951</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780124172951</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031507166</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9780124172951</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FLA_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV046126712 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:54Z |
| institution | BVB |
| isbn | 9780124173071 0124173071 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031507166 |
| oclc_num | 896901265 |
| open_access_boolean | |
| physical | 1 online resource (xxvii, 386 pages) illustrations (some color) |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Morgan Kaufmann |
| record_format | marc |
| spelling | Sharing data and models in software engineering Tim Menzies [and four others] ; designer, Mark Rogers Waltham, Massachusetts Morgan Kaufmann [2015] © 2015 1 online resource (xxvii, 386 pages) illustrations (some color) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (pages 357-378) and index Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects COMPUTERS / Software Development & Engineering / Quality Assurance & Testing bisacsh Data structures (Computer science) fast Software engineering fast Software engineering Data structures (Computer science) Software Engineering (DE-588)4116521-4 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf Verteiltes System (DE-588)4238872-7 gnd rswk-swf Software Engineering (DE-588)4116521-4 s Verteiltes System (DE-588)4238872-7 s Modellierung (DE-588)4170297-9 s 1\p DE-604 Menzies, Tim Sonstige oth Rogers, Mark dsr Erscheint auch als Druck-Ausgabe 0124172954 Erscheint auch als Druck-Ausgabe 9780124172951 http://www.sciencedirect.com/science/book/9780124172951 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Sharing data and models in software engineering COMPUTERS / Software Development & Engineering / Quality Assurance & Testing bisacsh Data structures (Computer science) fast Software engineering fast Software engineering Data structures (Computer science) Software Engineering (DE-588)4116521-4 gnd Modellierung (DE-588)4170297-9 gnd Verteiltes System (DE-588)4238872-7 gnd |
| subject_GND | (DE-588)4116521-4 (DE-588)4170297-9 (DE-588)4238872-7 |
| title | Sharing data and models in software engineering |
| title_auth | Sharing data and models in software engineering |
| title_exact_search | Sharing data and models in software engineering |
| title_full | Sharing data and models in software engineering Tim Menzies [and four others] ; designer, Mark Rogers |
| title_fullStr | Sharing data and models in software engineering Tim Menzies [and four others] ; designer, Mark Rogers |
| title_full_unstemmed | Sharing data and models in software engineering Tim Menzies [and four others] ; designer, Mark Rogers |
| title_short | Sharing data and models in software engineering |
| title_sort | sharing data and models in software engineering |
| topic | COMPUTERS / Software Development & Engineering / Quality Assurance & Testing bisacsh Data structures (Computer science) fast Software engineering fast Software engineering Data structures (Computer science) Software Engineering (DE-588)4116521-4 gnd Modellierung (DE-588)4170297-9 gnd Verteiltes System (DE-588)4238872-7 gnd |
| topic_facet | COMPUTERS / Software Development & Engineering / Quality Assurance & Testing Data structures (Computer science) Software engineering Software Engineering Modellierung Verteiltes System |
| url | http://www.sciencedirect.com/science/book/9780124172951 |
| work_keys_str_mv | AT menziestim sharingdataandmodelsinsoftwareengineering AT rogersmark sharingdataandmodelsinsoftwareengineering |