6 papers
Exploring Ethical Concerns of Mobile Applications from App Reviews: A Literature Survey
Aakash Sorathiya, Gouri Ginde
Privacy, security, and accessibility, like ethical concerns in mobile applications (a.k.a. apps), commonly subsumed under non-functional requirements, are generally reported by use…
Automatic Classification of User Requirements from Online Feedback -- A Replication Study
Meet Bhatt, Nic Boilard, Muhammad Rehan Chaudhary +4
Natural language processing (NLP) techniques have been widely applied in the requirements engineering (RE) field to support tasks such as classification and ambiguity detection. Al…
SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps
Aakash Sorathiya, Gouri Ginde
Mental health (MH) apps often require sensitive user data to customize services for mental wellness needs. However, such data collection practices in some MH apps raise significant…
CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews
Aakash Sorathiya, Gouri Ginde
With the increasing proliferation of mobile applications in our daily lives, the concerns surrounding ethics have surged significantly. Users communicate their feedback in app revi…
Towards Extracting Software Requirements from App Reviews using Seq2seq Framework
Aakash Sorathiya, Gouri Ginde
Mobile app reviews are a large-scale data source for software improvements. A key task in this context is effectively extracting requirements from app reviews to analyze the users'…
Beyond Keywords: A Context-based Hybrid Approach to Mining Ethical Concern-related App Reviews
Aakash Sorathiya, Gouri Ginde
With the increasing proliferation of mobile applications in our everyday experiences, the concerns surrounding ethics have surged significantly. Users generally communicate their f…