9 citations · 48 across the 29 of their papers we have counts for
14 papers · 1 filter
TimeLess: A Vision for the Next Generation of Software Development
Zeeshan Rasheed, Malik Abdul Sami, Jussi Rasku +16
Present-day software development faces three major challenges: complexity, time consumption, and high costs. Developing large software systems often requires battalions of teams an…
A System for Critical Facility and Resource Optimization in Disaster Management and Planning
Emmanuel Tung, Ali Mostafavi, Maoxu Li +3
Disruptions to medical infrastructure during disasters pose significant risks to critically ill patients with advanced chronic kidney disease or end-stage renal disease. To enhance…
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework
Minxuan Duan, Yinlong Qian, Lingyi Zhao +4
Existing methods for anomaly detection often fall short due to their inability to handle the complexity, heterogeneity, and high dimensionality inherent in real-world mobility data…
Uncertainty-aware Human Mobility Modeling and Anomaly Detection
Haomin Wen, Shurui Cao, Zeeshan Rasheed +2
Given the temporal GPS coordinates from a large set of human agents, how can we model their mobility behavior toward effective anomaly (e.g. bad-actor or malicious behavior) detect…
NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks
Chris Stanford, Suman Adari, Xishun Liao +10
Collecting real-world mobility data is challenging. It is often fraught with privacy concerns, logistical difficulties, and inherent biases. Moreover, accurately annotating anomali…
AI based Multiagent Approach for Requirements Elicitation and Analysis
Malik Abdul Sami, Muhammad Waseem, Zheying Zhang +3
Requirements Engineering (RE) plays a pivotal role in software development, encompassing tasks such as requirements elicitation, analysis, specification, and change management. Des…
A Tool for Test Case Scenarios Generation Using Large Language Models
Abdul Malik Sami, Zeeshan Rasheed, Muhammad Waseem +3
Large Language Models (LLMs) are widely used in Software Engineering (SE) for various tasks, including generating code, designing and documenting software, adding code comments, re…
Experimenting with Multi-Agent Software Development: Towards a Unified Platform
Malik Abdul Sami, Muhammad Waseem, Zeeshan Rasheed +3
Large language models are redefining software engineering by implementing AI-powered techniques throughout the whole software development process, including requirement gathering,…
Prioritizing Software Requirements Using Large Language Models
Malik Abdul Sami, Zeeshan Rasheed, Muhammad Waseem +3
Large Language Models (LLMs) are revolutionizing Software Engineering (SE) by introducing innovative methods for tasks such as collecting requirements, designing software, generati…
AI-powered Code Review with LLMs: Early Results
Zeeshan Rasheed, Malik Abdul Sami, Muhammad Waseem +5
In this paper, we present a novel approach to improving software quality and efficiency through a Large Language Model (LLM)-based model designed to review code and identify potent…
Large Language Model Evaluation Via Multi AI Agents: Preliminary results
Zeeshan Rasheed, Muhammad Waseem, Kari Systä +1
As Large Language Models (LLMs) have become integral to both research and daily operations, rigorous evaluation is crucial. This assessment is important not only for individual tas…
System for systematic literature review using multiple AI agents: Concept and an empirical evaluation
Abdul Malik Sami, Zeeshan Rasheed, Kai-Kristian Kemell +6
Systematic literature review (SLR) is foundational to evidence-based research, enabling scholars to identify, classify, and synthesize existing studies to address specific research…
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology
Zeeshan Rasheed, Muhammad Waseem, Kai-Kristian Kemell +5
Existing Large Language Model (LLM)-based multi-agent systems are capable of executing tasks and providing data-driven recommendations, thereby enabling automation and decision sup…
Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis
Zeeshan Rasheed, Muhammad Waseem, Aakash Ahmad +4
Context: Manual qualitative data analysis is time-intensive and can compromise validity and replicability, affecting analysis design, implementation, and reporting. Large Language…