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Larissa Chazette
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2020 – today
- 2023
- [b1]Larissa Chazette:
Requirements engineering for explainable systems. University of Hanover, Hannover, Germany, 2023 - [j6]Walid Maalej
, Yen Dieu Pham, Larissa Chazette
Tailoring Requirements Engineering for Responsible AI. Computer 56(4): 18-27 (2023) - [j5]Wasja Brunotte
Privacy explanations - A means to end-user trust. J. Syst. Softw. 195: 111545 (2023) - [c12]Marc Herrmann, Martin Obaidi, Larissa Chazette, Jil Klünder:
On the Subjectivity of Emotions in Software Projects: How Reliable are Pre-Labeled Data Sets for Sentiment Analysis? (Summary). Software Engineering 2023: 67-68 - [i5]Walid Maalej, Yen Dieu Pham, Larissa Chazette:
Tailoring Requirements Engineering for Responsible AI. CoRR abs/2302.10816 (2023) - 2022
- [j4]Marc Herrmann
On the subjectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis? J. Syst. Softw. 193: 111448 (2022) - [j3]Larissa Chazette
Explainable software systems: from requirements analysis to system evaluation. Requir. Eng. 27(4): 457-487 (2022) - [c11]Larissa Chazette, Jil Klünder, Merve Balci, Kurt Schneider:
How Can We Develop Explainable Systems? Insights from a Literature Review and an Interview Study. ICSSP/ICGSE 2022: 1-12 - [c10]Wasja Brunotte
What About My Privacy?Helping Users Understand Online Privacy Policies. ICSSP/ICGSE 2022: 56-65 - [c9]Larissa Chazette, Verena Klös, Florian Herzog, Kurt Schneider:
Requirements on Explanations: A Quality Framework for Explainability. RE 2022: 140-152 - [c8]Wasja Brunotte
Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering. REFSQ 2022: 26-32 - [p1]Larissa Chazette:
Requirements Engineering für Erklärbare Systeme. Ausgezeichnete Informatikdissertationen 2022: 31-40 - [i4]Larissa Chazette, Jil Klünder, Merve Balci, Kurt Schneider:
How Can We Develop Explainable Systems? Insights from a Literature Review and an Interview Study. CoRR abs/2204.01438 (2022) - [i3]Marc Herrmann, Martin Obaidi, Larissa Chazette, Jil Klünder:
On the Subjectivity of Emotions in Software Projects: How Reliable are Pre-Labeled Data Sets for Sentiment Analysis? CoRR abs/2207.07954 (2022) - [i2]Wasja Brunotte, Alexander Specht, Larissa Chazette, Kurt Schneider:
Privacy Explanations - A Means to End-User Trust. CoRR abs/2210.09706 (2022) - 2021
- [c7]Wasja Brunotte, Larissa Chazette, Verena Klös, Eric Knauss, Timo Speith
Welcome to the First International Workshop on Requirements Engineering for Explainable Systems (RE4ES). RE Workshops 2021: 157-158 - [c6]Wasja Brunotte
Can Explanations Support Privacy Awareness? A Research Roadmap. RE Workshops 2021: 176-180 - [c5]Larissa Chazette, Wasja Brunotte
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue. RE 2021: 197-208 - [i1]Larissa Chazette, Wasja Brunotte, Timo Speith:
Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue. CoRR abs/2108.03012 (2021) - 2020
- [j2]Larissa Chazette
Explainability as a non-functional requirement: challenges and recommendations. Requir. Eng. 25(4): 493-514 (2020) - [j1]Larissa Chazette, Melanie Busch, Maximilian Schrapel, Kai Korte, Kurt Schneider:
Designing Software Transparency: A Multidisciplinary Endeavor. Softwaretechnik-Trends 40(1): 5-6 (2020)
2010 – 2019
- 2019
- [c4]Larissa Chazette
Do End-Users Want Explanations? Analyzing the Role of Explainability as an Emerging Aspect of Non-Functional Requirements. RE 2019: 223-233 - [c3]Larissa Chazette
Mitigating Challenges in the Elicitation and Analysis of Transparency Requirements. RE 2019: 470-475 - 2018
- [c2]Joel Greenyer, Larissa Chazette, Daniel Gritzner, Eric Wete
A Scenario-Based MDE Process for Dynamic Topology Collaborative Reactive Systems - Early Virtual Prototyping of Car-to-X System Specifications. Modellierung (Workshops) 2018: 111-120 - 2016
- [c1]Larissa Chazette, Matthias Becker
Basic algorithms for bee hive monitoring and laser-based mite control. SSCI 2016: 1-8
Coauthor Index
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