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Many automated test generation techniques have been developed to aid developers with writing tests. To facilitate full automation, most existing techniques aim to either increase coverage, or generate exploratory inputs. However, existing…

Software Engineering · Computer Science 2023-07-26 Sungmin Kang , Juyeon Yoon , Shin Yoo

Assertion-based verification (ABV) is critical in ensuring that register-transfer level (RTL) designs conform to their functional specifications. SystemVerilog Assertions (SVA) effectively specify design properties, but writing and…

Hardware Architecture · Computer Science 2025-09-30 Hongqin Lyu , Yunlin Du , Yonghao Wang , Zhiteng Chao , Tiancheng Wang , Huawei Li

Bug reproduction is a critical developer activity that is also challenging to automate, as bug reports are often in natural language and thus can be difficult to transform to test cases consistently. As a result, existing techniques mostly…

Software Engineering · Computer Science 2023-11-10 Sungmin Kang , Juyeon Yoon , Nargiz Askarbekkyzy , Shin Yoo

Issue-reproducing tests fail on buggy code and pass once a patch is applied, thus increasing developers' confidence that the issue has been resolved and will not be re-introduced. However, past research has shown that developers often…

Software Engineering · Computer Science 2026-03-11 Konstantinos Kitsios , Marco Castelluccio , Alberto Bacchelli

Bug reports often lack sufficient detail for developers to reproduce and fix the underlying defects. Bug Reproduction Tests (BRTs), tests that fail when the bug is present and pass when it has been resolved, are crucial for debugging, but…

Software Engineering · Computer Science 2025-03-12 Runxiang Cheng , Michele Tufano , Jürgen Cito , José Cambronero , Pat Rondon , Renyao Wei , Aaron Sun , Satish Chandra

Assertion-based verification (ABV) is a cornerstone of modern hardware design, yet manually translating design intent into formal SystemVerilog Assertions (SVAs) remains labor-intensive and error-prone. While Large Language Models (LLMs)…

Hardware Architecture · Computer Science 2026-05-28 Yuchao Wu , Wenji Fang , Jing Wang , Wenkai Li , Ziyan Guo , Zhiyao Xie

Software testing is a core discipline in software engineering where a large array of research results has been produced, notably in the area of automatic test generation. Because existing approaches produce test cases that either can be…

Software Engineering · Computer Science 2023-10-11 Laura Plein , Wendkûuni C. Ouédraogo , Jacques Klein , Tegawendé F. Bissyandé

Unit testing is crucial for detecting bugs in individual program units but consumes time and effort. Recently, large language models (LLMs) have demonstrated remarkable capabilities in generating unit test cases. However, several problems…

Software Engineering · Computer Science 2025-04-01 Siqi Gu , Quanjun Zhang , Kecheng Li , Chunrong Fang , Fangyuan Tian , Liuchuan Zhu , Jianyi Zhou , Zhenyu Chen

Assertion-based verification (ABV) is a critical method to ensure logic designs comply with their architectural specifications. ABV requires assertions, which are generally converted from specifications through human interpretation by…

Hardware Architecture · Computer Science 2024-11-25 Zhiyuan Yan , Wenji Fang , Mengming Li , Min Li , Shang Liu , Zhiyao Xie , Hongce Zhang

SystemVerilog Assertions (SVAs) are essential for verifying Register Transfer Level (RTL) designs, as they can be embedded into key functional paths to detect unintended behaviours. During simulation, assertion failures occur when the…

Hardware Architecture · Computer Science 2025-03-07 Jie Zhou , Youshu Ji , Ning Wang , Yuchen Hu , Xinyao Jiao , Bingkun Yao , Xinwei Fang , Shuai Zhao , Nan Guan , Zhe Jiang

Functional simulation is an essential step in digital hardware design. Recently, there has been a growing interest in leveraging Large Language Models (LLMs) for hardware testbench generation tasks. However, the inherent instability…

Software Engineering · Computer Science 2024-11-14 Ruidi Qiu , Grace Li Zhang , Rolf Drechsler , Ulf Schlichtmann , Bing Li

Bugs are notoriously challenging: they slow down software users and result in time-consuming investigations for developers. These challenges are exacerbated when bugs must be reported in natural language by users. Indeed, we lack reliable…

Software Engineering · Computer Science 2023-10-11 Laura Plein , Tegawendé F. Bissyandé

Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, the training data used to develop these models often contain a significant amount of buggy code. Yet, it remains unclear to what extent these…

Software Engineering · Computer Science 2025-03-17 Liwei Guo , Sixiang Ye , Zeyu Sun , Xiang Chen , Yuxia Zhang , Bo Wang , Jie M. Zhang , Zheng Li , Yong Liu

Fault-detection, localization, and repair methods are vital to software quality; but it is difficult to evaluate their generality, applicability, and current effectiveness. Large, diverse, realistic datasets of durably-reproducible faults…

Large Language Models (LLMs) have significantly advanced automated test generation, yet existing methods often rely on ground-truth code for verification, risking bug propagation and limiting applicability in test-driven development. We…

Software Engineering · Computer Science 2026-02-12 Hamed Taherkhani , Alireza DaghighFarsoodeh , Mohammad Chowdhury , Hung Viet Pham , Hadi Hemmati

Large Language Models (LLMs) often fail to generate correct code on the first attempt, which requires using generated unit tests as verifiers to validate the solutions. Despite the success of recent verification methods, they remain…

Artificial Intelligence · Computer Science 2026-03-03 Sicheng Zhu , Jiajun Wang , Jiawei Ai , Xin Li

Providing personalized and timely feedback for student's programming assignments is useful for programming education. Automated program repair (APR) techniques have been used to fix the bugs in programming assignments, where the Large…

Computers and Society · Computer Science 2024-10-30 Fang Liu , Zhenwei Liu , Qianhui Zhao , Jing Jiang , Li Zhang , Ge Li , Zian Sun , Zhongqi Li , Yuchi Ma

Debugging is an essential skill when learning to program, yet its instruction and emphasis often vary widely across introductory courses. In the era of code-generating large language models (LLMs), the ability for students to reason about…

Software Engineering · Computer Science 2024-11-26 Victor-Alexandru Pădurean , Paul Denny , Adish Singla

Large language models (LLMs) offer significant potential to accelerate systematic literature reviews (SLRs), yet current approaches often rely on brittle, manually crafted prompts that compromise reliability and reproducibility. This…

Computation and Language · Computer Science 2025-09-03 Teo Susnjak

One of the critical phases in software development is software testing. Testing helps with identifying potential bugs and reducing maintenance costs. The goal of automated test generation tools is to ease the development of tests by…

Software Engineering · Computer Science 2023-09-01 Arghavan Moradi Dakhel , Amin Nikanjam , Vahid Majdinasab , Foutse Khomh , Michel C. Desmarais
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