1 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
On the Adoption of AI Coding Agents in Open-source Android and iOS Development
Muhammad Ahmad Khan, Hasnain Ali, Muneeb Rana +2
AI coding agents are increasingly contributing to software development, yet their impact on mobile development has received little empirical attention. In this paper, we present th…
Cluster-guided LLM-Based Anonymization of Software Analytics Data: Studying Privacy-Utility Trade-offs in JIT Defect Prediction
Maaz Khan, Gul Sher Khan, Ahsan Raza +2
The increasing use of machine learning (ML) for Just-In-Time (JIT) defect prediction raises concerns about privacy leakage from software analytics data. Existing anonymization meth…
IRJIT: A Simple, Online, Information Retrieval Approach for Just-In-Time Software Defect Prediction
Hareem Sahar, Abdul Ali Bangash, Abram Hindle +1
Just-in-Time software defect prediction (JIT-SDP) prevents the introduction of defects into the software by identifying them at commit check-in time. Current software defect predic…
On the Time-Based Conclusion Stability of Cross-Project Defect Prediction Models
Abdul Ali Bangash, Hareem Sahar, Abram Hindle +1
Researchers in empirical software engineering often make claims based on observable data such as defect reports. Unfortunately, in many cases, these claims are generalized beyond t…