Search Results for author:
Found 11 papers, 4 papers with code
Tailoring Requirements Engineering for Responsible AI
Requirements Engineering (RE) is the discipline for identifying, analyzing, as well as ensuring the implementation and delivery of user, technical, and societal requirements.
Beyond Duplicates: Towards Understanding and Predicting Link Types in Issue Tracking Systems
For instance, Duplication links tend to represent simpler issue graphs often with two components and Composition links present the highest amount of hierarchical tree structures (97. 7%).
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers
To maximize the accuracy and increase the overall acceptance of text classifiers, we propose a framework for the efficient, in-operation moderation of classifiers' output.
REM: Efficient Semi-Automated Real-Time Moderation of Online Forums
This paper presents REM, a novel tool for the semi-automated real-time moderation of large scale online forums.
Forum 4.0: An Open-Source User Comment Analysis Framework
With the increasing number of user comments in diverse domains, including comments on online journalism and e-commerce websites, the manual content analysis of these comments becomes time-consuming and challenging.
Automatically Matching Bug Reports With Related App Reviews
App stores allow users to give valuable feedback on apps, and developers to find this feedback and use it for the software evolution.
Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs
Estimating uncertainties of Neural Network predictions paves the way towards more reliable and trustful text classifications.
Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning
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.
Extracting and Analyzing Context Information in User-Support Conversations on Twitter
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.
Software Engineering
Towards Understanding and Detecting Fake Reviews in App Stores
This inspired the development of a simple classifier to automatically detect fake reviews in app stores.
Who is Addressed in this Comment? Automatically Classifying Meta-Comments in News Comments
We report on the most significant classification features with the results of a qualitative analysis and discuss how our work contributes to making participation in online journalism more constructive.
