activity
20182021
most citedAutomatically Matching Bug Reports With Related App Reviews

3 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing cs.SEShow all

5 papers · 1 filter

cs.SE2021

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…

cs.SE2021★ 1 cited

Lessons Learned from Customizing and Applying ACTA to Design a Novel Device for Emergency Medical Care

Christoph Stanik, Tim Puhlfürß, Anne Mahler +3

Preclinical patient care is both mentally and physically challenging and exhausting for emergency teams. The teams intensively use medical technology to help the patient on site. H…

cs.SE2021★ 3 cited

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…

cs.SE2019

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…

cs.SE2018

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…