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most citedTowards Extracting Ethical Concerns-related Software Requirements from App Reviews

1 citations · 1 across the 7 of their papers we have counts for

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cs.SE2026

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…

cs.SE2025

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…

cs.SE2025

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…

cs.SE2025

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'…

cs.SE2024

Ethical software requirements from user reviews: A systematic literature review

Aakash Sorathiya, Gouri Ginde

Context: The growing focus on ethics within SE, primarily due to the significant reliance of individuals' lives on software and the consequential social and ethical considerations…

cs.SE2024★ 1 cited

Towards Extracting Ethical Concerns-related Software Requirements from App Reviews

Aakash Sorathiya, Gouri Ginde

As mobile applications become increasingly integral to our daily lives, concerns about ethics have grown drastically. Users share their experiences, report bugs, and request new fe…