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iSMELL: Assembling LLMs with Expert Toolsets for Code Smell Detection and Refactoring by Wu, Di, Mu, Fangwen, Shi, Lin, Guo, Zhaoqiang, Liu, Kui, Zhuang, Weiguang, Zhong, Yuqi, Zhang, Li

“…Detecting and refactoring code smells is challenging, laborious, and sustaining. Although large language models have demonstrated potential in identifying…”
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Closing the Gap Between Sensor Inputs and Driving Properties: A Scene Graph Generator for CARLA by Woodlief, Trey, Toledo, Felipe, Elbaum, Sebastian, Dwyer, Matthew B.

“…The software engineering community has increasingly taken up the task of assuring safety in autonomous driving systems by applying software engineering principles to create techniques to develop…”
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Caffeine: Towards uniformed representation and acceleration for deep convolutional neural networks by Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong

“… In this paper we design and implement Caffeine, a hardware/software co-designed library to efficiently accelerate the entire CNN on FPGAs…”
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Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models by Pujar, Saurabh, Buratti, Luca, Guo, Xiaojie, Dupuis, Nicolas, Lewis, Burn, Suneja, Sahil, Sood, Atin, Nalawade, Ganesh, Jones, Matt, Morari, Alessandro, Puri, Ruchir

“…The recent improvement in code generation capabilities due to the use of large language models has mainly benefited general purpose programming languages…”
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SODA: Stencil with Optimized Dataflow Architecture by Chi, Yuze, Cong, Jason, Wei, Peng, Zhou, Peipei

“…Stencil computation is one of the most important kernels in many application domains such as image processing, solving partial differential equations, and…”
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On the Evaluation of Neural Code Translation: Taxonomy and Benchmark by Jiao, Mingsheng, Yu, Tingrui, Li, Xuan, Qiu, Guanjie, Gu, Xiaodong, Shen, Beijun

“…In recent years, neural code translation has gained increasing attention. While most of the research focuses on improving model architectures and training…”
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Distilling Reference Architectures from Open Source Repositories by Tran, Thi Dinh

“…Reference architectures (RAs) play a crucial role in simplifying and speeding up the design and evolution of software systems across various domains…”
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Pattern-Based Generation and Adaptation of Quantum Workflows by Beisel, Martin, Barzen, Johanna, Leymann, Frank, Stiliadou, Lavinia, Vietz, Daniel, Weder, Benjamin

“…Building quantum applications requires deep knowledge of quantum computing and software engineering…”
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A Large-Scale Study of Model Integration in ML-Enabled Software Systems by Sens, Yorick, Knopp, Henriette, Peldszus, Sven, Berger, Thorsten

“… While software engineering traditionally focused on manually created code artifacts with dedicated processes and architectures, ML-enabled systems require additional data-science methods and tools…”
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Calibration and Correctness of Language Models for Code by Spiess, Claudio, Gros, David, Pai, Kunal Suresh, Pradel, Michael, Rabin, Md Rafiqul Islam, Alipour, Amin, Jha, Susmit, Devanbu, Prem, Ahmed, Toufique

“… Calibration has so far been studied in mostly non-generative (e.g., classification) settings, especially in software…”
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Adaptive REST API Testing with Reinforcement Learning by Kim, Myeongsoo, Sinha, Saurabh, Orso, Alessandro

“…Modern web services increasingly rely on REST APIs. Effectively testing these APIs is challenging due to the vast search space to be explored, which involves…”
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Microservice Decomposition Techniques: An Independent Tool Comparison by Wang, Yingying, Bornais, Sarah, Rubin, Julia

“…The microservice-based architecture - a SOA-inspired principle of dividing systems into components that communicate with each other using language-agnostic APIs - has gained increased popularity in industry…”
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Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching by Kulkarni, Shubham, Marda, Arya, Vaidhyanathan, Karthik

“…). However, numerous software engineering challenges persist in propelling these MLS into production, largely due to various run-time uncertainties that impact the overall Quality of Service (QoS…”
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A Framework for On the Fly Input Refinement for Deep Learning Models by Rathnasuriya, Ravishka

“…Advancements in deep learning have significantly improved model performance across tasks involving code, text, and image processing. However, these models…”
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Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs by Lee, Jounghoo, Choi, Jinwoo, Kim, Jaeyeon, Lee, Jinho, Kim, Youngsok

“…We present dataflow mirroring, architectural support for low-overhead fine-grained systolic array allocation which overcomes the limitations of prior…”
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An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization by Batole, Fraol, OBrien, David, Nguyen, Tien N., Dyer, Robert, Rajan, Hridesh

“…Maintaining software design quality is crucial for the long-term maintainability and evolution of systems…”
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A Catalog of Micro Frontends Anti-Patterns by da Silva, Nabson Paiva Souza, Rodrigues, Eriky, Conte, Tayana

“… Drawing on both established microservice (MS) anti-patterns and the analysis of real problems faced by software development teams that adopt MFE, this paper presents a catalog of 12 MFE anti-patterns…”
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MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing by Ghiasi, Nika Mansouri, Sadrosadati, Mohammad, Mustafa, Harun, Gollwitzer, Arvid, Firtina, Can, Eudine, Julien, Mao, Haiyu, Lindegger, Joel, Cavlak, Meryem Banu, Alser, Mohammed, Park, Jisung, Mutlu, Onur

“… Metagenomic analysis suffers from significant data movement overhead due to moving large amounts of low-reuse data from the storage system to the rest of the system…”
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EXPRESS 2.0: An Intelligent Service Management Framework for AIoT Systems in the Edge by Xu, Jia, Liu, Xiao, Pan, Wuzhen, Li, Xuejun, Yao, Aiting, Yang, Yun

“…AIoT (Artificial Intelligence of Things) which integrates AI and IoT has received rapidly growing interest from the software engineering community in recent years…”
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Towards Synthetic Trace Generation of Modeling Operations using In-Context Learning Approach by Muttillo, Vittoriano, Di Sipio, Claudio, Rubei, Riccardo, Berardinelli, Luca, Dehghani, MohammadHadi

“…Producing accurate software models is crucial in model-driven software engineering (MDE…”
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