Software quality: future perspectives on software engineering quality: 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings
Gespeichert in:
| Körperschaft: | |
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| Weitere Verfasser: | , , |
| Format: | Tagungsbericht Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2021]
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| Schriftenreihe: | Lecture notes in business information processing
404 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xii, 158 Seiten Illustrationen, Diagramme |
| ISBN: | 9783030658533 |
Internformat
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Datensatz im Suchindex
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| adam_text | Contents Automation in Software Engineering Assisted Requirements Engineering - What Will Remain in the Hands of the Future Requirements Engineer? (Invited Keynote)................................... Henning Femmer Testing Autogenerated OPC UA NodeSet Models for Product Variants in Industry.................................................................................................................. Claus Klammer, Thomas Wetzlmaier, Michael Pfeiffer, Thomas Steiner, and Matthias Konnerth 3 15 Quality Assurance for AI-Based Systems Quality Assurance for AI-Based Systems: Overview and Challenges (Introduction to Interactive Session)........................................................................ Michael Felderer and Rudolf Ramler Software Quality for AI: Where We Are Now?.................................................... Valentina Lenarduzzi, Francesco Lomio, Sergio Moreschini, Davide Taibi, and Damian Andrew Tamburri 33 43 Hidden Feedback Loops in Machine Learning Systems: A Simulation Model and Preliminary Results...................................................... Anton Khritankov 54 The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs............................................................................................ Markus Borg 66 Machine Learning Applications Improving Quality of Code Review Datasets - Token-Based Feature Extraction Method..................................................................................................... Mirosław Staroń, Wilhelm Meding, Ola Söder, and Mirosław Ochodek Is Machine
Learning Software Just Software: A Maintainability View............ Tommi Mikkonen, Jukka K. Nurminen, Mikko Raatikainen, Ilenia Fronza, Niko Mäkitalo, and Tomi Männistö 81 94
xii Contents Industry-Academia Collaboration Solving Problems or Enabling Problem-Solving? from Purity in Empirical Software Engineering toEffective Co-production (Invited Keynote)................... Tony Gorschek and Daniel Mendez 10S Experimentation in Software Engineering An Empirical Study of User Story Quality and Its Impact on Open Source Project Performance................................................................................................. Ezequiel Scott, Tanel Tõemets, and Dietmar Pfahl 119 An Approach for Platform-Independent Online Controlled Experimentation.................................................................................... Florian Auer and Michael Felderer 139 Author Index........................................................................................................... 159
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| adam_txt |
Contents Automation in Software Engineering Assisted Requirements Engineering - What Will Remain in the Hands of the Future Requirements Engineer? (Invited Keynote). Henning Femmer Testing Autogenerated OPC UA NodeSet Models for Product Variants in Industry. Claus Klammer, Thomas Wetzlmaier, Michael Pfeiffer, Thomas Steiner, and Matthias Konnerth 3 15 Quality Assurance for AI-Based Systems Quality Assurance for AI-Based Systems: Overview and Challenges (Introduction to Interactive Session). Michael Felderer and Rudolf Ramler Software Quality for AI: Where We Are Now?. Valentina Lenarduzzi, Francesco Lomio, Sergio Moreschini, Davide Taibi, and Damian Andrew Tamburri 33 43 Hidden Feedback Loops in Machine Learning Systems: A Simulation Model and Preliminary Results. Anton Khritankov 54 The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs. Markus Borg 66 Machine Learning Applications Improving Quality of Code Review Datasets - Token-Based Feature Extraction Method. Mirosław Staroń, Wilhelm Meding, Ola Söder, and Mirosław Ochodek Is Machine
Learning Software Just Software: A Maintainability View. Tommi Mikkonen, Jukka K. Nurminen, Mikko Raatikainen, Ilenia Fronza, Niko Mäkitalo, and Tomi Männistö 81 94
xii Contents Industry-Academia Collaboration Solving Problems or Enabling Problem-Solving? from Purity in Empirical Software Engineering toEffective Co-production (Invited Keynote). Tony Gorschek and Daniel Mendez 10S Experimentation in Software Engineering An Empirical Study of User Story Quality and Its Impact on Open Source Project Performance. Ezequiel Scott, Tanel Tõemets, and Dietmar Pfahl 119 An Approach for Platform-Independent Online Controlled Experimentation. Florian Auer and Michael Felderer 139 Author Index. 159 |
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| dewey-full | 005.1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
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| discipline | Informatik Wirtschaftswissenschaften |
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| spelling | Software Quality Days 13. 2021 online Verfasser (DE-588)1225757177 aut Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings Dietmar Winkler, Stefan Biffl, Daniel Mendez, Manuel Wimmer, Johannes Bergsmann (eds.) Software quality Cham, Switzerland Springer [2021] © 2021 xii, 158 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Lecture notes in business information processing 404 Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Software engineering Management information systems Information technology Business—Data processing (DE-588)1071861417 Konferenzschrift 2021 online gnd-content Maschinelles Lernen (DE-588)4193754-5 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Winkler, Dietmar (DE-588)138658951 edt Biffl, Stefan (DE-588)135932556 edt Mendez, Daniel ca. 20./21. Jh. (DE-588)1225820227 edt Erscheint auch als Online-Ausgabe 978-3-030-65854-0 Lecture notes in business information processing 404 (DE-604)BV023204387 404 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032512320&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings Lecture notes in business information processing Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4033447-8 (DE-588)1071861417 |
| title | Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings |
| title_alt | Software quality |
| title_auth | Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings |
| title_exact_search | Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings |
| title_exact_search_txtP | Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings |
| title_full | Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings Dietmar Winkler, Stefan Biffl, Daniel Mendez, Manuel Wimmer, Johannes Bergsmann (eds.) |
| title_fullStr | Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings Dietmar Winkler, Stefan Biffl, Daniel Mendez, Manuel Wimmer, Johannes Bergsmann (eds.) |
| title_full_unstemmed | Software quality: future perspectives on software engineering quality 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings Dietmar Winkler, Stefan Biffl, Daniel Mendez, Manuel Wimmer, Johannes Bergsmann (eds.) |
| title_short | Software quality: future perspectives on software engineering quality |
| title_sort | software quality future perspectives on software engineering quality 13th international conference swqd 2021 vienna austria january 19 21 2021 proceedings |
| title_sub | 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021: proceedings |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Maschinelles Lernen Künstliche Intelligenz Konferenzschrift 2021 online |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032512320&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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