Search Results - "Software and its engineering Software creation and management Software development techniques"

Search-Based LLMs for Code Optimization by Gao, Shuzheng, Gao, Cuiyun, Gu, Wenchao, Lyu, Michael R.

“…The code written by developers usually suffers from efficiency problems and contain various performance bugs. These inefficiencies necessitate the research of…”
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An Empirical Study on Reproducible Packaging in Open-Source Ecosystems by Benedetti, Giacomo, Solarin, Oreofe, Miller, Courtney, Tystahl, Greg, Enck, William, Kastner, Christian, Kapravelos, Alexandros, Merlo, Alessio, Verderame, Luca

“…The integrity of software builds is fundamental to the security of the software supply chain. While Thompson first raised the potential for attacks on build…”
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Boosting Code-line-level Defect Prediction with Spectrum Information and Causality Analysis by Sun, Shiyu, Li, Yanhui, Chen, Lin, Zhou, Yuming, Zhao, Jianhua

“…Code-line-Ievel defect prediction (CLDP) is an effective technique to incorporate comprehensive measures for buggy line identification to optimize efforts in…”
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Software Supply Chain Risk: Characterization, Measurement & Attenuation by Butler, Alexis

“…With the accelerating adoption of open source software, and an ever-growing body of case studies of security vulnerabilities being introduced by said open…”
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MARQ: Engineering Mission-Critical AI-Based Software with Automated Result Quality Adaptation by Gropengiesser, Uwe, Dietz, Elias, Brandherm, Florian, Doula, Achref, Abboud, Osama, Xiao, Xun, Muhlhauser, Max

“…AI-based mission-critical software exposes a blessing and a curse: its inherent statistical nature allows for flexibility in result quality, yet the…”
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Unveiling the Characteristics and Impact of Security Patch Evolution by Xie, Zifan, Wen, Ming, Wei, Zichao, Jin, Hai

“…The number of disclosed vulnerabilities in open-source projects has been increasing steadily over the years, and thus it is important to deploy patches to…”
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Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations by Stradowski, Szymon, Madeyski, Lech

“…This experience paper describes thirteen considerations for implementing machine learning software defect prediction (ML SDP) in vivo. Specifically, we provide…”
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An exploratory study for scoping software product lines in a collaborative way by Ojeda, Marta Cecilia Camacho, Alegría, Julio Ariel Hurtado, Rodriguez, Francisco Javier Álvarez

“…Software companies are looking for strategies that allow them to be competitive and stay in the market, these companies must not be limited to create new…”
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QECOOL: On-Line Quantum Error Correction with a Superconducting Decoder for Surface Code by Ueno, Yosuke, Kondo, Masaaki, Tanaka, Masamitsu, Suzuki, Yasunari, Tabuchi, Yutaka

“…Due to the low error tolerance of a qubit, detecting and correcting errors on it is essential for fault-tolerant quantum computing. Surface code (SC)…”
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Cross-Domain Deep Code Search with Meta Learning by Chai, Yitian, Zhang, Hongyu, Shen, Beijun, Gu, Xiaodong

“…Recently, pre-trained programming language models such as Code-BERT have demonstrated substantial gains in code search. Despite their success, they rely on the…”
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Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases by Tang, Ze, Ge, Jidong, Liu, Shangqing, Zhu, Tingwei, Xu, Tongtong, Huang, Liguo, Luo, Bin

“…Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, due to the lack of domain-specific knowledge, they may not…”
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From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining by Ren, Xiaoxue, Ye, Xinyuan, Zhao, Dehai, Xing, Zhenchang, Yang, Xiaohu

“…Large Language Models (LLMs) have shown promising results in automatic code generation by improving coding efficiency to a certain extent. However, generating…”
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A Closer Look at Different Difficulty Levels Code Generation Abilities of ChatGPT by Yan, Dapeng, Gao, Zhipeng, Liu, Zhiming

“…Code generation aims to generate source code implementing human requirements illustrated with natural language specifications. With the rapid development of…”
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A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum Computing by Tan, Daniel Bochen, Niu, Murphy Yuezhen, Gidney, Craig

“…Quantum error correction is necessary for largescale quantum computing. A promising quantum error correcting code is the surface code. For this code,…”
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Rust-lancet: Automated Ownership-Rule-Violation Fixing with Behavior Preservation by Yang, Wenzhang, Song, Linhai, Xue, Yinxing

“…As a relatively new programming language, Rust is designed to provide both memory safety and runtime performance. To achieve this goal, Rust conducts rigorous…”
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Learning to Handle Exceptions by Zhang, Jian, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Pu, Yanjun, Liu, Xudong

“…Exception handling is an important built-in feature of many modern programming languages such as Java. It allows developers to deal with abnormal or unexpected…”
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LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-Based Code Completion by Wang, Chong, Huang, Kaifeng, Zhang, Jian, Feng, Yebo, Zhang, Lyuye, Liu, Yang, Peng, Xin

“…Large language models (LLMs), pre-trained or fine-tuned on large code corpora, have shown effectiveness in generating code completions. However, in LLM-based…”
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Weighted Range-Constrained Ising-Model Decoder for Quantum Error Correction by Guo, Xinyi, Awano, Hiromitsu, Sato, Takashi

“…Ising model-based Quantum Error Correction decoders reduce topological complexity compared to classical decoders. However, the SOTA Ising decoder has a higher…”
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Understanding and Remediating Open-Source License Incompatibilities in the PyPI Ecosystem by Xu, Weiwei, He, Hao, Gao, Kai, Zhou, Minghui

“…The reuse and distribution of open-source software must be in compliance with its accompanying open-source license. In modern packaging ecosystems, maintaining…”
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On the Relevance of Paper-Type Information in Systematic Mapping Studies in Software Engineering by Bin Ali, Nauman, Borstler, Jurgen

“…Systematic Mapping Studies (SMSs) are valuable in evidence-based software engineering research. SMSs aim to provide an overview of research, identify gaps and…”
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