Daniel Martens
Daniel Martens
Research associate/PhD candidate, Applied Software Technology Group
Email verificata su - Home page
Citata da
Citata da
Towards understanding and detecting fake reviews in app stores
D Martens, W Maalej
Empirical Software Engineering 24 (6), 3316-3355, 2019
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
On the emotion of users in app reviews
D Martens, T Johann
2017 IEEE/ACM 2nd International workshop on emotion awareness in software …, 2017
Release early, release often, and watch your users' emotions: Lessons from emotional patterns
D Martens, W Maalej
IEEE Software 36 (5), 32-37, 2019
Extracting and analyzing context information in user-support conversations on twitter
D Martens, W Maalej
2019 IEEE 27th International Requirements Engineering Conference (RE), 131-141, 2019
Reviewchain: Untampered product reviews on the blockchain
D Martens, W Maalej
Proceedings of the 1st international workshop on emerging trends in software …, 2018
Release early, release often, and watch your users' emotions
D Martens, W Maalej
arXiv preprint arXiv:1906.06403, 2019
Improving the Quality of User Feedback for Continuous Software Evolution
D Martens
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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