8 citations · 16 across the 6 of their papers we have counts for
6 papers
Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase
Yulong Pei, Salwa Alamir, Rares Dolga +1
Code revert prediction, a specialized form of software defect detection, aims to forecast or predict the likelihood of code changes being reverted or rolled back in software develo…
Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic
Salwa Alamir, Armineh Nourbakhsh, Cecilia Tilli +2
Research into COVID-19 has been rapidly evolving since the onset of the pandemic. This occasionally results in contradictory recommendations by credible sources of scientific opini…
Search-based Optimisation of LLM Learning Shots for Story Point Estimation
Vali Tawosi, Salwa Alamir, Xiaomo Liu
One of the ways Large Language Models (LLMs) are used to perform machine learning tasks is to provide them with a few examples before asking them to produce a prediction. This is a…
Software Vulnerability and Functionality Assessment using LLMs
Rasmus Ingemann Tuffveson Jensen, Vali Tawosi, Salwa Alamir
While code review is central to the software development process, it can be tedious and expensive to carry out. In this paper, we investigate whether and how Large Language Models…
Translating between SQL Dialects for Cloud Migration
Ran Zmigrod, Salwa Alamir, Xiaomo Liu
Migrations of systems from on-site premises to the cloud has been a fundamental endeavor by many industrial institutions. A crucial component of such cloud migrations is the transi…
Log Summarisation for Defect Evolution Analysis
Rares Dolga, Ran Zmigrod, Rui Silva +2
Log analysis and monitoring are essential aspects in software maintenance and identifying defects. In particular, the temporal nature and vast size of log data leads to an interest…