Daniel Martens
Daniel Martens
Research associate/PhD candidate, Applied Software Technology Group
Bestätigte E-Mail-Adresse bei informatik.uni-hamburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Towards understanding and detecting fake reviews in app stores
D Martens, W Maalej
Empirical Software Engineering 24 (6), 3316-3355, 2019
262019
On the emotion of users in app reviews
D Martens, T Johann
2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software …, 2017
162017
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
112018
Release Early, Release Often, and Watch Your Users' Emotions: Lessons From Emotional Patterns
D Martens, W Maalej
IEEE Software 36 (5), 32-37, 2019
82019
Reviewchain: untampered product reviews on the blockchain
D Martens, W Maalej
Proceedings of the 1st International Workshop on Emerging Trends in Software …, 2018
72018
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
62019
Scaling in words on Twitter
E Bokányi, D Kondor, G Vattay
Royal Society open science 6 (10), 190027, 2019
32019
Release early, release often, and watch your users' emotions
D Martens, W Maalej
arXiv preprint arXiv:1906.06403, 2019
12019
Improving the Quality of User Feedback for Continuous Software Evolution
D Martens
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
2020
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