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Related papers: Compiler Testing: A Systematic Literature Analysis

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Large Language Models (LLMs) are increasingly embedded in academic writing practices. Although numerous studies have explored how researchers employ these tools for scientific writing, their concrete implementation, limitations, and design…

Human-Computer Interaction · Computer Science 2025-12-15 Brenda Nogueira , Werner Geyer , Andrew Anderson , Toby Jia-Jun Li , Dongwhi Kim , Nuno Moniz , Nitesh V. Chawla

Most software that runs on computers undergoes processing by compilers. Since compilers constitute the fundamental infrastructure of software development, their correctness is paramount. Over the years, researchers have invested in…

Software Engineering · Computer Science 2023-06-19 Haoyang Ma

In recent years, end-to-end Large Language Model (LLM) technology has shown substantial advantages across various domains. As critical system software and infrastructure, compilers are responsible for transforming source code into target…

Machine Learning · Computer Science 2025-11-07 Hongbin Zhang , Shihao Gao , Yang Liu , Mingjie Xing , Yanjun Wu , Chen Zhao

Recommender systems are software tools used to generate and provide suggestions for items and other entities to the users by exploiting various strategies. Hybrid recommender systems combine two or more recommendation strategies in…

Information Retrieval · Computer Science 2019-01-15 Erion Çano , Maurizio Morisio

As software becomes larger, programming languages become higher-level, and processors continue to fail to be clocked faster, we'll increasingly require compilers to reduce code bloat, eliminate abstraction penalties, and exploit interesting…

Programming Languages · Computer Science 2018-09-10 Nuno P. Lopes , John Regehr

Large language models (LLMs) have demonstrated significant potential in formal theorem proving, yet state-of-the-art performance often necessitates prohibitive test-time compute via massive roll-outs or extended context windows. In this…

Machine Learning · Computer Science 2026-04-22 Guchan Li , Rui Tian , Hongning Wang

The rapid advancement of AI-assisted software engineering has brought transformative potential to the field of software engineering, but existing tools and paradigms remain limited by cognitive overload, inefficient tool integration, and…

Software Engineering · Computer Science 2026-03-12 Filipe R. Cogo , Gustavo A. Oliva , Ahmed E. Hassan

\textit{Background:} The use of large language models in software testing is growing fast as they support numerous tasks, from test case generation to automation, and documentation. However, their adoption often relies on informal…

Software Engineering · Computer Science 2025-10-21 Maria Deolinda Santana , Cleyton Magalhaes , Ronnie de Souza Santos

Testing is a key concern when developing process-oriented solutions as it supports modeling experts who have to deal with increasingly complex models and scenarios such as cross-organizational processes. However, the complexity of the…

Software Engineering · Computer Science 2015-09-15 Kristof Böhmer , Stefanie Rinderle-Ma

Context: Software testing plays an essential role in product quality improvement. For this reason, several software testing models have been developed to support organizations. However, adoption of testing process models inside…

Software Engineering · Computer Science 2019-01-08 Katarína Hrabovská , Bruno Rossi , Tomáš Pitner

We aim to conduct a systematic mapping in the area of testing ML programs. We identify, analyze and classify the existing literature to provide an overview of the area. We followed well-established guidelines of systematic mapping to…

Machine Learning · Computer Science 2019-07-23 Salman Sherin , Muhammad Uzair khan , Muhammad Zohaib Iqbal

Keeping up with the research literature plays an important role in the workflow of scientists - allowing them to understand a field, formulate the problems they focus on, and develop the solutions that they contribute, which in turn shape…

Information Retrieval · Computer Science 2023-01-11 Sheshera Mysore , Mahmood Jasim , Haoru Song , Sarah Akbar , Andre Kenneth Chase Randall , Narges Mahyar

Background: Software systems powered by large language models are becoming a routine part of everyday technologies, supporting applications across a wide range of domains. In software engineering, many studies have focused on how LLMs…

Software Engineering · Computer Science 2025-08-05 Cleyton Magalhaes , Italo Santos , Brody Stuart-Verner , Ronnie de Souza Santos

Biomedical research results are being published at a high rate, and with existing search engines, the vast amount of published work is usually easily accessible. However, reproducing published results, either experimental data or…

Molecular Networks · Quantitative Biology 2017-06-19 Kai-Wen Liang , Qinsi Wang , Cheryl Telmer , Divyaa Ravichandran , Peter Spirtes , Natasa Miskov-Zivanov

This work presents MLIR, a novel approach to building reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve compilation for heterogeneous hardware, significantly reduce the cost of building…

Context: Software practitioners are a primary provider of information for field studies in software engineering. Research typically recruits practitioners through some kind of sampling. But sampling may not in itself recruit credible…

Software Engineering · Computer Science 2021-12-30 Austen Rainer , Claes Wohlin

The authors present the results of a simple usability test performed on line_explorer, an innovative tool aimed at letting students explore programming. The system offers an interactive environment where students can learn, review, and…

Computers and Society · Computer Science 2017-11-16 Giovanni Vincenti , Scott Hilberg , James Braman , Michael Satzinger , Lily Cao

A compiler bug arises if the behaviour of a compiled concurrent program, as allowed by its architecture memory model, is not a behaviour permitted by the source program under its source model. One might reasonably think that most compiler…

Programming Languages · Computer Science 2024-01-19 Luke Geeson

Large language models (LLMs) have grown in their usage to provide support for question answering across numerous disciplines. The models on their own have already shown promise for answering basic questions, however fail quickly where…

Information Retrieval · Computer Science 2025-04-15 David Brett , Anniek Myatt

The authors' industry experiences suggest that compiler warnings, a lightweight version of program analysis, are valuable early bug detection tools. Significant costs are associated with patches and security bulletins for issues that could…

Software Engineering · Computer Science 2022-01-27 Gunnar Kudrjavets , Aditya Kumar , Nachiappan Nagappan , Ayushi Rastogi