Christoph Stanik
Title
Cited by
Cited by
Year
On the automatic classification of app reviews
W Maalej, Z Kurtanović, H Nabil, C Stanik
Requirements Engineering 21 (3), 311-331, 2016
1752016
Safe: A simple approach for feature extraction from app descriptions and app reviews
T Johann, C Stanik, W Maalej
2017 IEEE 25th International Requirements Engineering Conference (RE), 21-30, 2017
962017
Classifying multilingual user feedback using traditional machine learning and deep learning
C Stanik, M Haering, W Maalej
2019 IEEE 27th International Requirements Engineering Conference Workshops …, 2019
282019
A simple nlp-based approach to support onboarding and retention in open source communities
C Stanik, L Montgomery, D Martens, D Fucci, W Maalej
2018 IEEE International Conference on Software Maintenance and Evolution …, 2018
132018
Requirements intelligence with openreq analytics
C Stanik, W Maalej
2019 IEEE 27th International Requirements Engineering Conference (RE), 482-483, 2019
92019
Requirements Intelligence: On the Analysis of User Feedback
C Stanik
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
52020
Unsupervised Topic Discovery in User Comments
C Stanik, T Pietz, W Maalej
arXiv preprint arXiv:2108.08543, 2021
12021
Automatically Matching Bug Reports With Related App Reviews
M Haering, C Stanik, W Maalej
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
12021
Which App Features Are Being Used? Learning App Feature Usages from Interaction Data
C Stanik, M Haering, C Jesdabodi, W Maalej
12020
Künstliche Intelligenz in der Öffentlichen Verwaltung
A Felfernig, M Stettinger, M Wundara, C Stanik
Handbuch E-Government, 491-504, 2019
12019
Research on NLP for RE at the University of Hamburg: A Report.
D Fucci, C Stanik, L Montgomery, Z Kurtanovic, T Johann, W Maalej
REFSQ Workshops, 2018
12018
Lessons Learned from Customizing and Applying ACTA to Design a Novel Device for Emergency Medical Care
C Stanik, T Puhlfürß, A Mahler, PB Sasu, W Reip, W Maalej
arXiv preprint arXiv:2108.05622, 2021
2021
Künstliche Intelligenz in der Öffentlichen Verwaltung–Status Quo und zukünftige Entwicklungen1
A Felfernig, M Stettinger, M Wundara, C Stanik
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