AI for mass-scale code refactoring and analysis: how to make AI more efficient, cost-effective, and accurate at scale
As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media, Inc.
2024
|
| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098175849/?ar |
| Zusammenfassung: | As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and consistency is more critical than ever. This key report provides an in-depth exploration of how to optimize AI for these extensive tasks to minimize the need for "human in the loop." Discover how AI can transform the daunting job of mass-scale code refactoring into a streamlined, trustworthy process. |
| Beschreibung: | Includes bibliographical references |
| Umfang: | 1 Online-Ressource (42 Seiten) illustrations |
Internformat
MARC
| LEADER | 00000nam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-10853054X | ||
| 003 | DE-627-1 | ||
| 005 | 20241001123231.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 241001s2024 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627-1)10853054X | ||
| 035 | |a (DE-599)KEP10853054X | ||
| 035 | |a (ORHE)9781098175849 | ||
| 035 | |a (DE-627-1)10853054X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 005.1/6 |2 23/eng/20240917 | |
| 100 | 1 | |a Gehring, Justine |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a AI for mass-scale code refactoring and analysis |b how to make AI more efficient, cost-effective, and accurate at scale |c Justine Gehring, Olga Kundzich, and Pat Johnson |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA |b O'Reilly Media, Inc. |c 2024 | |
| 300 | |a 1 Online-Ressource (42 Seiten) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references | ||
| 520 | |a As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and consistency is more critical than ever. This key report provides an in-depth exploration of how to optimize AI for these extensive tasks to minimize the need for "human in the loop." Discover how AI can transform the daunting job of mass-scale code refactoring into a streamlined, trustworthy process. | ||
| 650 | 0 | |a Software refactoring | |
| 650 | 0 | |a Artificial intelligence | |
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Computer software |x Development |x Management | |
| 650 | 4 | |a Logiciels ; Refactorisation | |
| 650 | 4 | |a Intelligence artificielle | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a artificial intelligence | |
| 700 | 1 | |a Kundzich, Olga |e VerfasserIn |4 aut | |
| 700 | 1 | |a Johnson, Pat |e VerfasserIn |4 aut | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781098175849/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-10853054X |
|---|---|
| _version_ | 1829007832525045760 |
| adam_text | |
| any_adam_object | |
| author | Gehring, Justine Kundzich, Olga Johnson, Pat |
| author_facet | Gehring, Justine Kundzich, Olga Johnson, Pat |
| author_role | aut aut aut |
| author_sort | Gehring, Justine |
| author_variant | j g jg o k ok p j pj |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)10853054X (DE-599)KEP10853054X (ORHE)9781098175849 |
| dewey-full | 005.1/6 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.1/6 |
| dewey-search | 005.1/6 |
| dewey-sort | 15.1 16 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | First edition. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02207nam a22004452c 4500</leader><controlfield tag="001">ZDB-30-ORH-10853054X</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20241001123231.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">241001s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)10853054X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP10853054X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781098175849</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)10853054X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.1/6</subfield><subfield code="2">23/eng/20240917</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gehring, Justine</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">AI for mass-scale code refactoring and analysis</subfield><subfield code="b">how to make AI more efficient, cost-effective, and accurate at scale</subfield><subfield code="c">Justine Gehring, Olga Kundzich, and Pat Johnson</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sebastopol, CA</subfield><subfield code="b">O'Reilly Media, Inc.</subfield><subfield code="c">2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (42 Seiten)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and consistency is more critical than ever. This key report provides an in-depth exploration of how to optimize AI for these extensive tasks to minimize the need for "human in the loop." Discover how AI can transform the daunting job of mass-scale code refactoring into a streamlined, trustworthy process.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Software refactoring</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer software</subfield><subfield code="x">Development</subfield><subfield code="x">Management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logiciels ; Refactorisation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kundzich, Olga</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Johnson, Pat</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781098175849/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-10853054X |
| illustrated | Illustrated |
| indexdate | 2025-04-10T09:36:34Z |
| institution | BVB |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (42 Seiten) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | O'Reilly Media, Inc. |
| record_format | marc |
| spelling | Gehring, Justine VerfasserIn aut AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Justine Gehring, Olga Kundzich, and Pat Johnson First edition. Sebastopol, CA O'Reilly Media, Inc. 2024 1 Online-Ressource (42 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and consistency is more critical than ever. This key report provides an in-depth exploration of how to optimize AI for these extensive tasks to minimize the need for "human in the loop." Discover how AI can transform the daunting job of mass-scale code refactoring into a streamlined, trustworthy process. Software refactoring Artificial intelligence Machine learning Computer software Development Management Logiciels ; Refactorisation Intelligence artificielle Apprentissage automatique artificial intelligence Kundzich, Olga VerfasserIn aut Johnson, Pat VerfasserIn aut |
| spellingShingle | Gehring, Justine Kundzich, Olga Johnson, Pat AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Software refactoring Artificial intelligence Machine learning Computer software Development Management Logiciels ; Refactorisation Intelligence artificielle Apprentissage automatique artificial intelligence |
| title | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale |
| title_auth | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale |
| title_exact_search | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale |
| title_full | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Justine Gehring, Olga Kundzich, and Pat Johnson |
| title_fullStr | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Justine Gehring, Olga Kundzich, and Pat Johnson |
| title_full_unstemmed | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Justine Gehring, Olga Kundzich, and Pat Johnson |
| title_short | AI for mass-scale code refactoring and analysis |
| title_sort | ai for mass scale code refactoring and analysis how to make ai more efficient cost effective and accurate at scale |
| title_sub | how to make AI more efficient, cost-effective, and accurate at scale |
| topic | Software refactoring Artificial intelligence Machine learning Computer software Development Management Logiciels ; Refactorisation Intelligence artificielle Apprentissage automatique artificial intelligence |
| topic_facet | Software refactoring Artificial intelligence Machine learning Computer software Development Management Logiciels ; Refactorisation Intelligence artificielle Apprentissage automatique artificial intelligence |
| work_keys_str_mv | AT gehringjustine aiformassscalecoderefactoringandanalysishowtomakeaimoreefficientcosteffectiveandaccurateatscale AT kundzicholga aiformassscalecoderefactoringandanalysishowtomakeaimoreefficientcosteffectiveandaccurateatscale AT johnsonpat aiformassscalecoderefactoringandanalysishowtomakeaimoreefficientcosteffectiveandaccurateatscale |