3 citations · 3 across the 1 of their papers we have counts for
5 papers
Unsupervised Topic Discovery in User Comments
Christoph Stanik, Tim Pietz, Walid Maalej
On social media platforms like Twitter, users regularly share their opinions and comments with software vendors and service providers. Popular software products might get thousands…
Automatically Matching Bug Reports With Related App Reviews
Marlo Häring, Christoph Stanik, Walid Maalej
App stores allow users to give valuable feedback on apps, and developers to find this feedback and use it for the software evolution. However, finding user feedback that matches ex…
Requirements Intelligence with OpenReq Analytics
Christoph Stanik, Walid Maalej
With the rise of social media like Twitter and distribution platforms like app stores, users have various ways to express their opinions about software products. Popular software v…
Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning
Christoph Stanik, Marlo Haering, Walid Maalej
With the rise of social media like Twitter and of software distribution platforms like app stores, users got various ways to express their opinion about software products. Popular…
A Simple NLP-based Approach to Support Onboarding and Retention in Open Source Communities
Christoph Stanik, Lloyd Montgomery, Daniel Martens +2
Successful open source communities are constantly looking for new members and helping them become active developers. A common approach for developer onboarding in open source proje…