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08/21/2023
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems
This paper introduces the "GPT-in-the-loop" approach, a novel method com...
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07/12/2023
Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems
In autonomic computing, self-adaptation has been proposed as a fundament...
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05/19/2023
Comparing Software Developers with ChatGPT: An Empirical Investigation
The advent of automation in particular Software Engineering (SE) tasks h...
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05/01/2023
Supporting Contextual Conversational Agent-Based Software Development
Software Development (SD) is remarkably dynamic and is critically depend...
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12/21/2022
Agile Assessment Methods: Current State of the Art
Agility Assessment (AA) comprises tools, assessment techniques, and fram...
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02/15/2021
A Reference Model for IoT Embodied Agents Controlled by Neural Networks
Embodied agents is a term used to denote intelligent agents, which are a...
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02/15/2021
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review
Data scientists often develop machine learning models to solve a variety...
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02/10/2021
A Cognitive and Machine Learning-Based Software Development Paradigm Supported by Context
Advances in the use of cognitive and machine learning (ML) enabled syste...
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11/05/2019
Spatial-Temporal Cluster Relations – A Foundation for Trajectory Cluster Lifetime Analysis
Spatial-temporal data, that is information about objects that exist at a...
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12/25/2018
The Next Generation of Metadata-Oriented Testing of Research Software
Research software refers to software development tools that accelerate d...
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12/25/2018
A Variability-Aware Design Approach to the Data Analysis Modeling Process
The massive amount of current data has led to many different forms of da...
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12/25/2018
The iEnvironment Platform: Developing an Open Science Software Platform for Integrated Environmental Monitoring and Modeling of Surface Water
This paper describes the development of iEnvironment, an open science so...
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12/21/2018
Cluster Lifecycle Analysis: Challenges, Techniques, and Framework
Novel forms of data analysis methods have emerged as a significant resea...
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12/14/2018
An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning
Agent-based Internet of Things (IoT) applications have recently emerged ...
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02/12/2018
Machine Learning-based Variability Handling in IoT Agents
Agent-based IoT applications have recently been proposed in several doma...
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02/04/2018
Software Engineers vs. Machine Learning Algorithms: An Empirical Study Assessing Performance and Reuse Tasks
Several papers have recently contained reports on applying machine learn...
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12/08/2017
Developing a Spatial-Temporal Contextual and Semantic Trajectory Clustering Framework
This paper reports on ongoing research investigating more expressive app...
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02/24/2016
