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1
Program Logic for Weak Memory Concurrency ...
Doko, Marko. - : Technische Universität Kaiserslautern, 2021
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2
Neural Network Learning for Robust Speech Recognition
Qu, Leyuan. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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3
Student Performance and Collaboration in Introductory Courses to Theory of Computation ; Studierendenperformance und Kollaboration in Einführungskursen der Theoretischen Informatik
Frede, Christiane. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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4
Classifying user information needs in cooking dialogues – an empirical performance evaluation of transformer networks
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5
Entwicklung und Evaluation eines Tools zur lexikonbasierten Sentiment Analysis für die Digital Humanities
Dangel, Johanna. - 2021
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6
Language representations for computational argumentation
Lauscher, Anne. - 2021
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7
Accessible digital documentary heritage : guidelines for the preparation of documentary heritage in accessible formats for persons with disabilities ...
Darvishy, Alireza; Manning, Juliet. - : UNESCO, 2020
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8
Erfahrung und Gewissheit – Orientierungen in den Wissenschaften und im Alltag. IV. Regensburger Symposium vom 24.-26. März 2011 ...
Thim-Mabrey, Christiane; Brack, Matthias. - : Universität Regensburg, 2020
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9
Conversational Language Learning for Human-Robot Interaction
Bothe, Chandrakant Ramesh. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
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10
Natural Language Visual Grounding via Multimodal Learning ; Natürliche Sprache Visual Grounding durch multimodales Lernen
Mi, Jinpeng. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
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11
Erfahrung und Gewissheit – Orientierungen in den Wissenschaften und im Alltag. IV. Regensburger Symposium vom 24.-26. März 2011
Thim-Mabrey, Christiane; Brack, Matthias. - : Universitätsbibliothek Regensburg, 2020
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12
ANNIS: A graph-based query system for deeply annotated text corpora ...
Krause, Thomas. - : Humboldt-Universität zu Berlin, 2019
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13
Generating Formal Representations of System Specification from Natural Language Requirements
Irfan, Zeeshan. - 2019
Abstract: Natural Language (NL) requirements play a significant role in specifying the system design, implementation and testing processes. Nevertheless, NL requirements are generally syntactically ambiguous and semantically inconsistent. Issues with NL requirements can result into inaccurate and preposterous system design, implementation and testing. Moreover, informal nature of NL is a major hurdle in machine processing of system requirements specifications. To confront this problem, a requirement template is introduced, based on controlled NL to produce deterministic and consistent representation of the system. The ultimate focus of this thesis is to generate test cases from system specifications driven from requirements communicated in natural language. Manual software systems testing is a labour intensive, error prone and high cost activity. Traditionally, model-driven test generation approaches are employed for automated testing. However, system models are created manually for test generation. The test cases generated from system models are not generally deterministic and traceable with individual requirements. This thesis proposes an approach for software system testing based on template-driven requirements. This systematic approach is applied on the requirements elicited from system stakeholders. For this purpose natural language processing (NLP) methods are used. Using NLP approaches, useful information is extracted from controlled NL requirements and afterwards the gathered information is processed to generate test scenarios. Our inceptive observation exhibits that this method provides remarkable gains in terms of reducing the cost, time and complexity of requirements based testing.
Keyword: ddc:004; info:eu-repo/classification/ddc/004; Informatik; Natürliche Sprache; Natural Language; NLP; Requirements templates
URL: https://monarch.qucosa.de/api/qucosa%3A72329/attachment/ATT-1/
https://monarch.qucosa.de/api/qucosa%3A72329/attachment/ATT-0/
https://monarch.qucosa.de/id/qucosa%3A72329
https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-723293
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14
ANNIS: A graph-based query system for deeply annotated text corpora
Krause, Thomas. - : Humboldt-Universität zu Berlin, 2019
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15
Acquiring Architecture Knowledge for Technology Design Decisions ; Erfassung von Architekturwissen für Technologieentwurfsentscheidungen
Soliman, Mohamed Aboubakr Mohamed. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019
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16
Adaptive Approaches to Natural Language Processing in Annotation and Application ; Adaptive Ansätze zur Verarbeitung natürlicher Sprache in Annotation und Anwendung
Yimam, Seid Muhie. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019
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17
Predictive Dependency Parsing ; Vorhersagendes Dependenzparsing
Köhn, Arne. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019
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18
Automatic generation of lexical recognition tests using natural language processing
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19
Mining and Analyzing User Rationale in Software Engineering ; Gewinnung und Analyse von Nutzerbegründungen in der Softwaretechnik
Kurtanović, Zijad. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2018
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20
Operations on Graphs, Arrays and Automata ; Operationen auf Graphen, Arrays und Automaten
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