8 citations · 20 across the 12 of their papers we have counts for
12 papers
LLM Agents for Automated Dependency Upgrades
Vali Tawosi, Salwa Alamir, Xiaomo Liu +1
As a codebase expands over time, its library dependencies can become outdated and require updates to maintain innovation and security. However, updating a library can introduce bre…
Bridging LLM Planning Agents and Formal Methods: A Case Study in Plan Verification
Keshav Ramani, Vali Tawosi, Salwa Alamir +1
We introduce a novel framework for evaluating the alignment between natural language plans and their expected behavior by converting them into Kripke structures and Linear Temporal…
ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework
Vali Tawosi, Keshav Ramani, Salwa Alamir +1
Multi-agent Large Language Model (LLM) systems have been leading the way in applied LLM research across a number of fields. One notable area is software development, where research…
Meta-RAG on Large Codebases Using Code Summarization
Vali Tawosi, Salwa Alamir, Xiaomo Liu +1
Large Language Model (LLM) systems have been at the forefront of applied Artificial Intelligence (AI) research in a multitude of domains. One such domain is software development, w…
CodeMirage: Hallucinations in Code Generated by Large Language Models
Vibhor Agarwal, Yulong Pei, Salwa Alamir +1
Large Language Models (LLMs) have shown promising potentials in program generation and no-code automation. However, LLMs are prone to generate hallucinations, i.e., they generate t…
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…
Neural Transition-based Parsing of Library Deprecations
Petr Babkin, Nacho Navarro, Salwa Alamir +1
This paper tackles the challenging problem of automating code updates to fix deprecated API usages of open source libraries by analyzing their release notes. Our system employs a t…