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๐Ÿ” program development ๐Ÿ“‚ Computer Science
Showing 40120 results for "program development" in Computer Science
Computer Science Preprint PDF DOI

Modular Verification of Differential Privacy in Probabilistic Higher-Order Separation Logic (Extended Version)

Philipp G. Haselwarter, Alejandro Aguirre, Simon Oddershede Gregersen, Kwing Hei Li, Joseph Tassarotti, Lars Birkedal ยท 2026

Differential privacy is the standard method for privacy-preserving data analysis. The importance of having strong guarantees on the reliability of implementations of differentially private algorithms โ€ฆ

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TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations

Ashmi Banerjee, Adithi Satish, Wolfgang Worndl, Yashar Deldjoo ยท 2026

Traditional conversational travel recommender systems primarily optimize for user relevance and convenience, often reinforcing popular, overcrowded destinations and carbon-intensive travel choices. Toโ€ฆ

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Computer Science Preprint PDF DOI

Robust Graph Isomorphism, Quadratic Assignment and VC Dimension

Anatole Dahan, Martin Grohe, Daniel Neuen, Tomas Novotny ยท 2026

We present an additive $\varepsilon n^{2}$-approximation algorithm for the Graph Edit Distance problem (GED) on graphs of VC dimension $d$ running in time $n^{O(d/\varepsilon^{2})}$. In particular, thโ€ฆ

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Computer Science Preprint PDF DOI

Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents

Afshan Hashmi ยท 2026

Retrieval-Augmented Generation (RAG) has become the standard paradigm for grounding Large Language Model outputs in external knowledge. Lumer et al. [1] presented the first systematic evaluation compaโ€ฆ

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CodeSpecBench: Benchmarking LLMs for Executable Behavioral Specification Generation

Zaoyu Chen, Jianbo Dai, Boyu Zhu, Jingdong Wang, Huiming Wang, Xin Xu, Haoyang Yuan, Zhijiang Guo, Xiao-Ming Wu ยท 2026

Large language models (LLMs) can generate code from natural language, but the extent to which they capture intended program behavior remains unclear. Executable behavioral specifications, defined via โ€ฆ

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Learning Project-wise Subsequent Code Edits via Interleaving Neural-based Induction and Tool-based Deduction

Chenyan Liu, Yun Lin, Yuhuan Huang, Jiaxin Chang, Binhang Qi, Bo Jiang, Zhiyong Huang, Jin Song Dong ยท 2026

In industrial and open-source software engineering tasks, developers often perform project-wise code editing tasks, including feature enhancement, refactoring, and bug fixing, where the leading AI modโ€ฆ

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Simple Types for Polymorphic Functions

Barry Jay, Johannes Bader ยท 2026

This paper introduces a simple type system for combinatory logic in which combinators have at most one type, whose polymorphism is revealed by application. The combinatory types exactly describe the sโ€ฆ

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The Effect of Document Selection on Query-focused Text Analysis

Sandesh S Rangreji, Mian Zhong, Anjalie Field ยท 2026

Analyses of document collections often require selecting what data to analyze, as not all documents are relevant to a particular research question and computational constraints preclude analyzing all โ€ฆ

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ORBIT: Guided Agentic Orchestration for Autonomous C-to-Rust Transpilation

Muhammad Farrukh, Baris Coskun, Tapti Palit, Michalis Polychronakis ยท 2026

Large-scale migration of legacy C code to Rust offers a promising path toward improving memory safety, but LLM-based C-to-Rust translation remains challenging due to limited context windows and hallucโ€ฆ

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NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions

Shizheng Hou, Wenqi Pei, Nuo Chen, Quang-Trung Ta, Peng Lu, Beng Chin Ooi ยท 2026

Natural Language to SQL (NL2SQL) technology empowers non-expert users to query relational databases without requiring SQL expertise. While large language models (LLMs) have greatly improved NL2SQL algโ€ฆ

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Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals

Minh Le-Anh, Cuong Chi Le, Tien N. Nguyen ยท 2026

Automated Program Repair (APR) has recently benefited from large language models (LLMs). However, most LLM-based APR approaches still rely primarily on coarse end-to-end signals from test-suite outcomโ€ฆ

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Faster Approximate Linear Matroid Intersection

Tatsuya Terao ยท 2026

We consider a fast approximation algorithm for the linear matroid intersection problem. In this problem, we are given two $r \times n$ matrices $M_1$ and $M_2$, and the objective is to find a largest โ€ฆ

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Identifying Disruptive Models in the Open-Source LLM Community

Xiaoting Wei, Lele Kang, Xuelian Pan, Jiannan Yang ยท 2026

The rapid growth of open-source large language models (LLMs) has created a complex ecosystem of model inheritance and reuse. However, existing research has focused mainly on descriptive analyses of liโ€ฆ

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CUTEv2: Unified and Configurable Matrix Extension for Diverse CPU Architectures with Minimal Design Overhead

Jinpeng Ye, Chongxi Wang, Wenqing Li, Bin Yuan, Shiyi Wang, Fenglu Zhang, Junyu Yue, Jianan Xie, Yunhao Ye, Haoyu Deng, Yingkun Zhou, Xin Cheng, Fuxin Zhang, Jian Wang ยท 2026

Matrix extensions have emerged as an essential feature in modern CPUs to address the surging demands of AI workloads. However, existing designs often incur substantial hardware and software design oveโ€ฆ

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FM-Agent: Scaling Formal Methods to Large Systems via LLM-Based Hoare-Style Reasoning

Haoran Ding, Zhaoguo Wang, Haibo Chen ยท 2026

LLM-assisted software development has become increasingly prevalent, and can generate large-scale systems, such as compilers. It becomes crucial to strengthen the correctness of the generated code. Hoโ€ฆ

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Nix: A Solution With Problems

Matias Zwinger ยท 2026

Software deployment suffers from numerous problems pertaining, for example, to reproducibility and dependency resolution. Many of these problems have been successfully solved by the purely functional โ€ฆ

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Fast Atomicity Monitoring

Hunkar Can Tun, Yifan Dong, Andreas Pavlogiannis ยท 2026

Atomicity is a fundamental abstraction in concurrency, specifying that program behavior can be understood by considering specific code blocks executing atomically. However, atomicity invariants are trโ€ฆ

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Epistemic Trust as a Mechanism for Ethics Integration: Failure Modes and Design Principles from 70 Moral Imagination Workshops

Benjamin Lange, Geoff Keeling, Kyle Pedersen, Carmen Heringer, Susan B. Rubin, Ben Zevenbergen, Amanda McCroskery ยท 2026

Bottom-up responsible innovation initiatives seek to empower technology development teams to engage in ethical reflection, yet such interventions frequently fail to achieve practitioner engagement. Whโ€ฆ

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Evaluating LLM Agents on Automated Software Analysis Tasks

Islem Bouzenia, Cristian Cadar, Michael Pradel ยท 2026

Numerous software analysis tools exist today, yet applying them to diverse open-source projects remains challenging due to environment setup, dependency resolution, and tool configuration. LLM-based aโ€ฆ

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Quality-Sensitive Matrix Factorization for Community Notes: Towards Sample Efficiency and Manipulation Resistance

Mohak Goyal, Nishka Arora, Ashish Goel ยท 2026

Community Notes is X's crowdsourced fact-checking program: contributors write short notes that add context to potentially misleading posts, and other contributors rate whether those notes are helpful.โ€ฆ

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