137 citations · 137 across the 3 of their papers we have counts for
4 papers · 1 filter
Extracting and Analyzing Context Information in User-Support Conversations on Twitter
Daniel Martens, Walid Maalej
While many apps include built-in options to report bugs or request features, users still provide an increasing amount of feedback via social media, like Twitter. Compared to tradit…
Release early, release often, and watch your users' emotions
Daniel Martens, Walid Maalej
App stores are highly competitive markets, sometimes offering dozens of apps for a single use case. Unexpected app changes such as a feature removal might incite even loyal users t…
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…
On the Emotion of Users in App Reviews
Daniel Martens, Timo Johann
App store analysis has become an important discipline in recent software engineering research. It empirically studies apps using information mined from their distribution platforms…