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

Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks

Seyedreza Mohseni, Sarvesh Baskar, Edward Raff, Manas Gaur ยท 2026

Code deobfuscation is the task of recovering a readable version of a program while preserving its original behavior. In practice, this often requires days or even months of manual work with complex anโ€ฆ

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AgileLog: A Forkable Shared Log for Agents on Data Streams

Shreesha G. Bhat, Tony Hong, Michael Noguera, Ramnatthan Alagappan, Aishwarya Ganesan ยท 2026

In modern data-streaming systems, alongside traditional programs, a new type of entity has emerged that can interact with streaming data: AI agents. Unlike traditional programs, AI agents use LLM reasโ€ฆ

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Prompt-Driven Code Summarization: A Systematic Literature Review

Afia Farjana, Zaiyu Cheng, Antonio Mastropaolo ยท 2026

Software documentation is essential for program comprehension, developer onboarding, code review, and long-term maintenance. Yet producing quality documentation manually is time-consuming and frequentโ€ฆ

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Fast Concurrent Primitives Despite Contention

Michael A. Bender, Guy E. Blelloch, Martin Farach-Colton, Yang Hu, Rob Johnson, Rotem Oshman, Renfei Zhou ยท 2026

We study the problem of constructing concurrent objects in a setting where $P$ processes run in parallel and interact through a shared memory that is subject to write contention. Our goal is to transfโ€ฆ

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Bias in Surface Electromyography Features across a Demographically Diverse Cohort

Aditi Agrawal, Celine John Philip, Giancarlo K. Sagastume, Marcus A. Battraw, Wilsaan M. Joiner, Jonathon S. Schofield, Lee M. Miller, Richard S. Whittle ยท 2026

Neuromotor decoding from upper-limb electromyography (sEMG) can enhance human-machine interfaces and offer a more natural means of controlling prosthetic limbs, virtual reality, and household electronโ€ฆ

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AndroScanner: Automated Backend Vulnerability Detection for Android Applications

Harini Dandu ยท 2026

Mobile applications rely on complex backends that introduce significant security risks, yet developers often lack the tools to assess these risks effectively. This paper presents AndroScanner, an autoโ€ฆ

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Reflections on Traceability for Visualization Research

Jen Rogers, Derya Akbaba, James Scott-Brown, Alexander Lex, Miriah Meyer ยท 2026

Decades of advocacy for reproducibility and replication have advanced open, transparent practices in the sciences. However, traditional notions of reproducibility fit poorly with design-oriented visuaโ€ฆ

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Filament: Denning-Style Information Flow Control for Rust

Jeffrey C. Ching, Quan Zhou, Danfeng Zhang ยท 2026

Existing language-based information-flow control (IFC) tools face a fundamental tension: Denning-style systems that track explicit and implicit flows at the variable level typically require compiler mโ€ฆ

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Challenges and Future Directions in Agentic Reverse Engineering Systems

Salem Radey, Jack West, Kassem Fawaz ยท 2026

Agentic systems built on large language models (LLMs) are increasingly being used for complex security tasks, including binary reverse engineering (RE). Despite recent growth in popularity and capabilโ€ฆ

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"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI

Jordan Taylor, Joel Mire, Alicia DeVrio, Maarten Sap, Haiyi Zhu, Sarah E. Fox ยท 2026

Art-making is a collective social activity through which queer people engage in political resistance, develop identities, archive queer memory, and form community. However, in recent years, generativeโ€ฆ

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Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends

Joao Bettencourt, Sergio Guerreiro ยท 2026

Recent advances in Generative Artificial Intelligence, particularly Large Language Models (LLMs), have stimulated growing interest in automating or assisting Business Process Modeling tasks using natuโ€ฆ

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Learned or Memorized ? Quantifying Memorization Advantage in Code LLMs

Djire Alberick Euraste, Kabore Abdoul Kader, Jordan Samhi, Earl T. Barr, Jacques Klein, Tegawende F. Bissyande ยท 2026

The lack of transparency about code datasets used to train large language models (LLMs) makes it difficult to detect, evaluate, and mitigate data leakage. We present a perturbation-based method to quaโ€ฆ

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Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures

Daniel Rodriguez-Cardenas, David Nader Palacio, Denys Poshyvanyk ยท 2026

Software engineering research has focused on automating maintenance and evolution processes to reduce costs and improve reliability. The emergence of foundation models (FMs) with strong code understanโ€ฆ

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AI Coding Agents Need Better Compiler Remarks

Akash Deo, Simone Campanoni, Tommy McMichen ยท 2026

Modern AI agents optimize programs by refactoring source code to trigger trusted compiler transformations. This preserves program semantics and reduces source code pollution, making the program easierโ€ฆ

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Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go?

Reem Alfayez, Manal Binkhonain ยท 2026

Sentiment analysis in software engineering focuses on understanding emotions expressed in software artifacts. Previous research highlighted the limitations of applying general off-the-shelf sentiment โ€ฆ

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Debugging Performance Issues in WebAssembly Runtimes via Mutation-based Inference

Ruiying Zeng, Shuyao Jiang, Wenxuan Zhao, Yangfan Zhou ยท 2026

Performance debugging in WebAssembly (Wasm) runtimes is essential for ensuring the robustness of Wasm, especially since performance issues have frequently occurred in Wasm runtimes, which can significโ€ฆ

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On the Decidability of Verification under Release/Acquire

Giovanna Kobus Conrado, Andreas Pavlogiannis ยท 2026

The verification of concurrent programs under weak-memory models is a burgeoning effort, owing to the increasing adoption of weak memory in concurrent software and hardware. Release/Acquire has becomeโ€ฆ

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Erlang Binary and Source Code Obfuscation

Gregory Morse, Tamas Kozsik ยท 2026

This paper studies obfuscation techniques for Erlang programs at the source, abstract syntax tree, BEAM assembly, and BEAM bytecode levels. We focus on transformations that complicate reverse engineerโ€ฆ

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RecNextEval: A Reference Implementation for Temporal Next-Batch Recommendation Evaluation

Tze-Kean Ng, Joshua Teng-Khing Khoo, Aixin Sun ยท 2026

A good number of toolkits have been developed in Recommender Systems (RecSys) research to promote fair evaluation and reproducibility. However, recent critical examinations of RecSys evaluation protocโ€ฆ

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Fully Dynamic Maintenance of Loop Nesting Forests in Reducible Flow Graphs

Gregory Morse, Tamas Kozsik ยท 2026

Loop nesting forests (LNFs) are a fundamental abstraction for reasoning about control-flow structure, enabling applications such as compiler optimizations, program analysis, and dominator computation.โ€ฆ

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