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Testing plays a crucial role in the software development cycle, enabling the detection of bugs, vulnerabilities, and other undesirable behaviors. To perform software testing, testers need to write code snippets that execute the program…

Software Engineering · Computer Science 2025-02-04 Wenhan Wang , Chenyuan Yang , Zhijie Wang , Yuheng Huang , Zhaoyang Chu , Da Song , Lingming Zhang , An Ran Chen , Lei Ma

Multi-task model merging offers a promising paradigm for integrating multiple expert models into a unified model without additional training. Existing state-of-the-art techniques, such as Task Arithmetic and its variants, merge models by…

Artificial Intelligence · Computer Science 2025-05-15 Wenju Sun , Qingyong Li , Yangli-ao Geng , Boyang Li

The state-of-the-practice in software development is driven by constant change fueled by continuous integration servers. Such constant change demands for frequent and fully automated tests capable to detect faults immediately upon project…

Software Engineering · Computer Science 2021-04-27 Ali Parsai , Serge Demeyer

Type errors in Python often lead to runtime failures, posing significant challenges to software reliability and developer productivity. Existing static analysis tools aim to detect such errors without execution but frequently suffer from…

Software Engineering · Computer Science 2025-10-03 Chen Yang , Ziqi Wang , Yanjie Jiang , Lin Yang , Yuteng Zheng , Jianyi Zhou , Junjie Chen

Rotten green tests are passing tests which have, at least, one assertion not executed. They give developers a false confidence. In this paper, we present, RTj, a framework that analyzes test cases from Java projects with the goal of…

Software Engineering · Computer Science 2019-12-17 Matias Martinez , Anne Etien , Stéphane Ducasse , Christopher Fuhrman

Folklore is often saying "The Java memory model is broken." Therefore, several approaches have proposed repairs, only to find new programs exhibiting unexpected, unintuitive behavior or the model forbidding standard compiler optimizations.…

Programming Languages · Computer Science 2026-04-20 Lukas Panneke , Heike Wehrheim

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

Progress in hardware model checking depends critically on high-quality benchmarks. However, the community faces a significant benchmark gap: existing suites are limited in number, often distributed only in representations such as BTOR2…

Hardware Architecture · Computer Science 2026-02-27 Guangyu Hu , Xiaofeng Zhou , Wei Zhang , Hongce Zhang

Large language models (LLMs) and autonomous coding agents are increasingly used to generate software across a wide range of domains. Yet a core requirement remains unmet: ensuring that generated code is secure without compromising its…

Software Engineering · Computer Science 2025-11-27 Abhijeet Pathak , Suvadra Barua , Dinesh Gudimetla , Rupam Patir , Jiawei Guo , Hongxin Hu , Haipeng Cai

The modern code review process is an integral part of the current software development practice. Considerable effort is given here to inspect code changes, find defects, suggest an improvement, and address the suggestions of the reviewers.…

Software Engineering · Computer Science 2021-10-27 Md. Khairul Islam , Toufique Ahmed , Rifat Shahriyar , Anindya Iqbal , Gias Uddin

Test case prioritization focuses on finding a suitable order of execution of the test cases in a test suite to meet some performance goals like detecting faults early. It is likely that some test cases execute the program parts that are…

Software Engineering · Computer Science 2025-08-27 S. Panda , D. Munjal , D. P. Mohapatra

Large Language Models (LLMs) are increasingly integrated into diverse applications. The rapid evolution of LLMs presents opportunities for developers to enhance applications continuously. However, this constant adaptation can also lead to…

Information Retrieval · Computer Science 2024-09-09 Tanay Dixit , Daniel Lee , Sally Fang , Sai Sree Harsha , Anirudh Sureshan , Akash Maharaj , Yunyao Li

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

Model merging combines multiple models into a single model with aggregated capabilities, making it a powerful tool for large language model (LLM) development. However, scaling model merging is challenging: performance depends on the choice…

Machine Learning · Computer Science 2026-02-03 Oliver Bolton , Aakanksha , Arash Ahmadian , Sara Hooker , Marzieh Fadaee , Beyza Ermis

This paper presents an underlying framework for both automating and accelerating malware classification, more specifically, mapping malicious executables to known Advanced Persistent Threat (APT) groups. The main feature of this analysis is…

Cryptography and Security · Computer Science 2025-04-23 Noah Subedar , Taeui Kim , Saathwick Venkataramalingam

Frequent modifications of unit test cases are inevitable due to software's continuous underlying changes in source code, design, and requirements. Since manually maintaining software test suites is tedious, timely, and costly, automating…

Machine Learning · Computer Science 2023-10-06 Mosab Rezaei , Hamed Alhoori , Mona Rahimi

Although there are many automated software testing suites, they usually focus on unit, system, and interface testing. However, especially software updates such as new security features have the potential to diminish user experience. In this…

Software Engineering · Computer Science 2021-04-09 Chidera Biringa , Gokhan Kul

Unit testing plays a pivotal role in software development, improving software quality and reliability. However, generating effective test cases manually is time-consuming, prompting interest in unit testing research. Recently, Large…

Software Engineering · Computer Science 2024-12-24 Ye Shang , Quanjun Zhang , Chunrong Fang , Siqi Gu , Jianyi Zhou , Zhenyu Chen

Theorem provers has been used extensively in software engineering for software testing or verification. However, software is now so large and complex that additional architecture is needed to guide theorem provers as they try to generate…

Software Engineering · Computer Science 2021-01-11 Jianfeng Chen , Xipeng Shen , Tim Menzies

Common test generators fall into two categories. Generating test inputs at the unit level is fast, but can lead to false alarms when a function is called with inputs that would not occur in a system context. If a generated input at the…

Software Engineering · Computer Science 2019-06-05 Alexander Kampmann , Andreas Zeller