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ChatDev: Communicative Agents for Software Development [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Software development is a complex task that necessitates cooperation among multiple members with diverse skills. Numerous studies used deep learning to improve specific phases in a waterfall model, such as design, coding, and testing.
Cheng Qian +13 more
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Remote Sensing, 2022 The verification and monitoring of agricultural subsidy claims requires combined evaluation of several criteria at the scale of over a million cultivation units.
László Henits +5 more
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A teamwork effectiveness model for agile software development
Empirical Software Engineering, 2022 Teamwork is crucial in software development, particularly in agile development teams which are cross-functional and where team members work intensively together to develop a cohesive software solution.
D. Strode +2 more
semanticscholar +1 more source
How does Machine Learning Change Software Development Practices?
IEEE Transactions on Software Engineering, 2021 Adding an ability for a system to learn inherently adds uncertainty into the system. Given the rising popularity of incorporating machine learning into systems, we wondered how the addition alters software development practices. We performed a mixture of
Zhiyuan Wan +3 more
semanticscholar +1 more source
External features enriched model for biomedical question answering
BMC Bioinformatics, 2021 Background Biomedical question answering (QA) is a sub-task of natural language processing in a specific domain, which aims to answer a question in the biomedical field based on one or more related passages and can provide people with accurate healthcare-
Gezheng Xu +4 more
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Towards Predicting Architectural Design Patterns: A Machine Learning Approach
Computers, 2022 Software architecture plays an important role in software development, especially in software quality and maintenance. Understanding the impact of certain architectural patterns on software quality and verification of software requirements has become ...
Sirojiddin Komolov +3 more
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An Effective Camera-to-Lidar Spatiotemporal Calibration Based on a Simple Calibration Target
Sensors, 2022 In this contribution, we present a simple and intuitive approach for estimating the exterior (geometrical) calibration of a Lidar instrument with respect to a camera as well as their synchronization shifting (temporal calibration) during data acquisition.
Lazaros Grammatikopoulos +4 more
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Cross-Task Mental Workload Recognition Based on EEG Tensor Representation and Transfer Learning
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 The accurate evaluation of mental workload of operators in human machine systems is of great significance in ensuring the safety of operators and the correct execution of tasks.
Kai Guan +3 more
doaj +1 more source
Applied Sciences, 2023 Domain generation algorithms (DGAs) play an important role in network attacks and can be mainly divided into two types: dictionary-based and character-based.
Shaojie Chen +3 more
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Sequential Graph Neural Network for Urban Road Traffic Speed Prediction
IEEE Access, 2020 Accurate speed predictions for urban roads are highly important for traffic monitoring and route planning, and also help relieve the pressure of traffic congestion.
Zhipu Xie +5 more
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