Sharing Data and Models in Software Engineering: Sharing Data and Models
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:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Saint Louis
Elsevier Science
2014
|
Schlagworte: | |
Online-Zugang: | FAW01 |
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. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineeringExplains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfallsProvides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge researchAddresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data |
Beschreibung: | Description based on publisher supplied metadata and other sources |
Beschreibung: | 1 online resource (415 pages) |
ISBN: | 9780124173071 9780124172951 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV043616995 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 160616s2014 |||| o||u| ||||||eng d | ||
020 | |a 9780124173071 |9 978-0-12-417307-1 | ||
020 | |a 9780124172951 |c Print |9 978-0-12-417295-1 | ||
035 | |a (ZDB-30-PQE)EBC1910044 | ||
035 | |a (ZDB-89-EBL)EBL1910044 | ||
035 | |a (ZDB-38-EBR)ebr11001150 | ||
035 | |a (OCoLC)896901265 | ||
035 | |a (DE-599)BVBBV043616995 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-1046 | ||
082 | 0 | |a 005.1 | |
100 | 1 | |a Menzies, Tim |e Verfasser |4 aut | |
245 | 1 | 0 | |a Sharing Data and Models in Software Engineering |b Sharing Data and Models |
264 | 1 | |a Saint Louis |b Elsevier Science |c 2014 | |
264 | 4 | |c © 2015 | |
300 | |a 1 online resource (415 pages) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Description based on publisher supplied metadata and other sources | ||
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. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineeringExplains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfallsProvides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge researchAddresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data | ||
650 | 4 | |a Computer-aided software engineering | |
650 | 4 | |a Software engineering | |
650 | 0 | 7 | |a Verteiltes System |0 (DE-588)4238872-7 |2 gnd |9 rswk-swf |
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 |
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 Kocaguneli, Ekrem |e Sonstige |4 oth | |
700 | 1 | |a Turhan, Burak |e Sonstige |4 oth | |
700 | 1 | |a Minku, Leandro |e Sonstige |4 oth | |
700 | 1 | |a Peters, Fayola |e Sonstige |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Menzies, Tim |t Sharing Data and Models in Software Engineering : Sharing Data and Models |
912 | |a ZDB-30-PQE |a ZDB-33-ESD |a ZDB-33-EBS | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-029031054 | ||
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 FAW01 |p ZDB-33-ESD |q FAW_PDA_ESD |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1804176358913343488 |
---|---|
any_adam_object | |
author | Menzies, Tim |
author_facet | Menzies, Tim |
author_role | aut |
author_sort | Menzies, Tim |
author_variant | t m tm |
building | Verbundindex |
bvnumber | BV043616995 |
collection | ZDB-30-PQE ZDB-33-ESD ZDB-33-EBS |
ctrlnum | (ZDB-30-PQE)EBC1910044 (ZDB-89-EBL)EBL1910044 (ZDB-38-EBR)ebr11001150 (OCoLC)896901265 (DE-599)BVBBV043616995 |
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>03992nmm a2200553zc 4500</leader><controlfield tag="001">BV043616995</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">160616s2014 |||| 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">9780124172951</subfield><subfield code="c">Print</subfield><subfield code="9">978-0-12-417295-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC1910044</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-89-EBL)EBL1910044</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-38-EBR)ebr11001150</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)896901265</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043616995</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="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.1</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Menzies, Tim</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sharing Data and Models in Software Engineering</subfield><subfield code="b">Sharing Data and Models</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Saint Louis</subfield><subfield code="b">Elsevier Science</subfield><subfield code="c">2014</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 (415 pages)</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">Description based on publisher supplied metadata and other sources</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. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineeringExplains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfallsProvides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge researchAddresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer-aided software engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Software engineering</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="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="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">Kocaguneli, Ekrem</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Turhan, Burak</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Minku, Leandro</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Peters, Fayola</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Menzies, Tim</subfield><subfield code="t">Sharing Data and Models in Software Engineering : Sharing Data and Models</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029031054</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">FAW01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FAW_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV043616995 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:30:55Z |
institution | BVB |
isbn | 9780124173071 9780124172951 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029031054 |
oclc_num | 896901265 |
open_access_boolean | |
owner | DE-1046 |
owner_facet | DE-1046 |
physical | 1 online resource (415 pages) |
psigel | ZDB-30-PQE ZDB-33-ESD ZDB-33-EBS ZDB-33-ESD FAW_PDA_ESD |
publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
publisher | Elsevier Science |
record_format | marc |
spelling | Menzies, Tim Verfasser aut Sharing Data and Models in Software Engineering Sharing Data and Models Saint Louis Elsevier Science 2014 © 2015 1 online resource (415 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources 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. Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineeringExplains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfallsProvides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge researchAddresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data Computer-aided software engineering Software engineering Verteiltes System (DE-588)4238872-7 gnd rswk-swf Software Engineering (DE-588)4116521-4 gnd rswk-swf Modellierung (DE-588)4170297-9 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 Kocaguneli, Ekrem Sonstige oth Turhan, Burak Sonstige oth Minku, Leandro Sonstige oth Peters, Fayola Sonstige oth Erscheint auch als Druck-Ausgabe Menzies, Tim Sharing Data and Models in Software Engineering : Sharing Data and Models 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Menzies, Tim Sharing Data and Models in Software Engineering Sharing Data and Models Computer-aided software engineering Software engineering Verteiltes System (DE-588)4238872-7 gnd Software Engineering (DE-588)4116521-4 gnd Modellierung (DE-588)4170297-9 gnd |
subject_GND | (DE-588)4238872-7 (DE-588)4116521-4 (DE-588)4170297-9 |
title | Sharing Data and Models in Software Engineering Sharing Data and Models |
title_auth | Sharing Data and Models in Software Engineering Sharing Data and Models |
title_exact_search | Sharing Data and Models in Software Engineering Sharing Data and Models |
title_full | Sharing Data and Models in Software Engineering Sharing Data and Models |
title_fullStr | Sharing Data and Models in Software Engineering Sharing Data and Models |
title_full_unstemmed | Sharing Data and Models in Software Engineering Sharing Data and Models |
title_short | Sharing Data and Models in Software Engineering |
title_sort | sharing data and models in software engineering sharing data and models |
title_sub | Sharing Data and Models |
topic | Computer-aided software engineering Software engineering Verteiltes System (DE-588)4238872-7 gnd Software Engineering (DE-588)4116521-4 gnd Modellierung (DE-588)4170297-9 gnd |
topic_facet | Computer-aided software engineering Software engineering Verteiltes System Software Engineering Modellierung |
work_keys_str_mv | AT menziestim sharingdataandmodelsinsoftwareengineeringsharingdataandmodels AT kocaguneliekrem sharingdataandmodelsinsoftwareengineeringsharingdataandmodels AT turhanburak sharingdataandmodelsinsoftwareengineeringsharingdataandmodels AT minkuleandro sharingdataandmodelsinsoftwareengineeringsharingdataandmodels AT petersfayola sharingdataandmodelsinsoftwareengineeringsharingdataandmodels |