3 citations · 5 across the 18 of their papers we have counts for
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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'…
BugsRepo: A Comprehensive Curated Dataset of Bug Reports, Comments and Contributors Information from Bugzilla
Jagrit Acharya, Gouri Ginde
Bug reports help software development teams enhance software quality, yet their utility is often compromised by unclear or incomplete information. This issue not only hinders devel…
Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation
Jagrit Acharya, Gouri Ginde
Bug reports contain the information developers need to triage and fix software bugs. However, unclear, incomplete, or ambiguous information may lead to delays and excessive manual…