Verfügbarkeit: Static analysis

Static analysis: 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings

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Bibliographische Detailangaben
Körperschaft:	SAS Auckland (VerfasserIn)
Weitere Verfasser:	Singh, Gagandeep (HerausgeberIn), Urban, Caterina (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	English
Veröffentlicht:	Cham, Switzerland Springer [2022]
Schriftenreihe:	Lecture notes in computer science 13790
Schlagworte:	Computer Science Logic and Foundations of Programming Computer Engineering and Networks Natural Language Processing (NLP) Formal Languages and Automata Theory Compilers and Interpreters Computer science Computer engineering Computer networks Natural language processing (Computer science) Machine theory Compilers (Computer programs) Künstliche Intelligenz Logik Software Engineering Konferenzschrift > 2022 > Auckland
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Beschreibung:	1 Online-Ressource (x, 475 Seiten) 119 Illustrationen, 61 in Farbe
ISBN:	9783031223082
ISSN:	1611-3349
DOI:	10.1007/978-3-031-22308-2

Internformat

MARC


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isbn	9783031223082
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physical	1 Online-Ressource (x, 475 Seiten) 119 Illustrationen, 61 in Farbe
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series	Lecture notes in computer science
series2	Lecture notes in computer science
spellingShingle	Static analysis 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings Lecture notes in computer science Computer Science Logic and Foundations of Programming Computer Engineering and Networks Natural Language Processing (NLP) Formal Languages and Automata Theory Compilers and Interpreters Computer science Computer engineering Computer networks Natural language processing (Computer science) Machine theory Compilers (Computer programs) Künstliche Intelligenz (DE-588)4033447-8 gnd Logik (DE-588)4036202-4 gnd Software Engineering (DE-588)4116521-4 gnd
subject_GND	(DE-588)4033447-8 (DE-588)4036202-4 (DE-588)4116521-4 (DE-588)1071861417
title	Static analysis 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings
title_auth	Static analysis 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings
title_exact_search	Static analysis 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings
title_exact_search_txtP	Static analysis 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings
title_full	Static analysis 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings Gagandeep Singh, Caterina Urban (eds.)
title_fullStr	Static analysis 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings Gagandeep Singh, Caterina Urban (eds.)
title_full_unstemmed	Static analysis 29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings Gagandeep Singh, Caterina Urban (eds.)
title_short	Static analysis
title_sort	static analysis 29th international symposium sas 2022 auckland new zealand december 5 7 2022 proceedings
title_sub	29th international symposium, SAS 2022, Auckland, New Zealand, December 5–7, 2022, proceedings
topic	Computer Science Logic and Foundations of Programming Computer Engineering and Networks Natural Language Processing (NLP) Formal Languages and Automata Theory Compilers and Interpreters Computer science Computer engineering Computer networks Natural language processing (Computer science) Machine theory Compilers (Computer programs) Künstliche Intelligenz (DE-588)4033447-8 gnd Logik (DE-588)4036202-4 gnd Software Engineering (DE-588)4116521-4 gnd
topic_facet	Computer Science Logic and Foundations of Programming Computer Engineering and Networks Natural Language Processing (NLP) Formal Languages and Automata Theory Compilers and Interpreters Computer science Computer engineering Computer networks Natural language processing (Computer science) Machine theory Compilers (Computer programs) Künstliche Intelligenz Logik Software Engineering Konferenzschrift 2022 Auckland
url	https://doi.org/10.1007/978-3-031-22308-2
volume_link	(DE-604)BV014880109
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