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LLM-based mutation testing is a promising testing technology, but existing approaches typically rely on a fixed set of mutations as few-shot examples or none at all. This can result in generic low-quality mutations, missed context-specific…

Software Engineering · Computer Science 2026-03-26 Bo Wang , Ming Deng , Mingda Chen , Chengran Yang , Youfang Lin , Mark Harman , Mike Papadakis , Jie M. Zhang

We study the competition between several advantageous mutants in an asexual population (clonal interference) as a function of the time between the appearance of the mutants, their selective advantages, and the rate of deleterious mutations.…

Biological Physics · Physics 2007-05-23 Paulo R. A. Campos , Christoph Adami , Claus O. Wilke

This paper describes Mull, an open-source tool for mutation testing based on the LLVM framework. Mull works with LLVM IR, a low-level intermediate representation, to perform mutations, and uses LLVM JIT for just-in-time compilation. This…

Software Engineering · Computer Science 2019-08-06 Alex Denisov , Stanislav Pankevich

Deep Learning (DL) frameworks are a fundamental component of DL development. Therefore, the detection of DL framework defects is important and challenging. As one of the most widely adopted DL testing techniques, model mutation has recently…

Software Engineering · Computer Science 2025-07-08 Yanzhou Mu , Rong Wang , Juan Zhai , Chunrong Fang , Xiang Chen , Zhiyuan Peng , Peiran Yang , Ruixiang Qian , Shaoyu Yang , Zhenyu Chen

Library dependencies in software ecosystems play a crucial role in the development of software. As newer releases of these libraries are published, developers may opt to pin their dependencies to a particular version. While pinning may have…

Software Engineering · Computer Science 2025-12-22 Vasudev Vikram , Yuvraj Agarwal , Rohan Padhye

Code LLMs often portray inconsistent program behaviors. Developers typically employ benchmarks to assess Code LLMs, but most benchmarks are hand-crafted, static and do not target consistency property. In this work, we pose the scientific…

Software Engineering · Computer Science 2026-04-22 Chua Jin Chou , Khant That Lwin , Ezekiel Soremekun

Previous evolutionary studies demonstrated how evaluating evolving agents in variable environmental conditions enable them to develop solutions that are robust to environmental variation. We demonstrate how the robustness of the agents can…

Neural and Evolutionary Computing · Computer Science 2018-03-05 Nicola Milano , Jônata Tyska Carvalho , Stefano Nolfi

We present a theoretical as well as experimental investigation of a population of self-replicating segments of code subject to random mutation and survival of the fittest. Under the assumption that such a system constitutes a minimal system…

adap-org · Physics 2008-02-03 Chris Adami

It is crucial that smart contracts are tested thoroughly due to their immutable nature. Even small bugs in smart contracts can lead to huge monetary losses. However, testing is not enough; it is also important to ensure the quality and…

Software Engineering · Computer Science 2020-01-23 Pieter Hartel , Richard Schumi

Dynamically Adaptive Systems modify their behav- ior and structure in response to changes in their surrounding environment and according to an adaptation logic. Critical sys- tems increasingly incorporate dynamic adaptation capabilities;…

Software Engineering · Computer Science 2012-05-28 Alexandre Bartel , Benoit Baudry , Freddy Munoz , Jacques Klein , Tejeddine Mouelhi , Yves Le Traon

Mutation-based fuzzing is effective for uncovering compiler bugs, but designing high-quality mutators for modern languages with complex constructs (e.g., templates, macros) remains challenging. Existing methods rely heavily on manual design…

Software Engineering · Computer Science 2026-02-09 Bo Wang , Pengyang Wang , Chong Chen , Ming Deng , Jieke Shi , Qi Sun , Chengran Yang , Youfang Lin , Zhou Yang , Junjie Chen , Jun Sun , David Lo

Existing fine-grained predictive mutation testing studies predominantly rely on deep learning, which faces two critical limitations in practice: (1) Exorbitant computational costs. The deep learning models adopted in these studies demand…

Software Engineering · Computer Science 2025-11-18 Zeyu Lu , Peng Zhang , Chun Yong Chong , Shan Gao , Yibiao Yang , Yanhui Li , Lin Chen , Yuming Zhou

Mutation analysis evaluates test suites and testing techniques by measuring how well they detect seeded defects (mutants). Even though well established in research, mutation analysis is rarely used in practice due to scalability problems…

Software Engineering · Computer Science 2013-03-13 René Just , Michael D. Ernst , Gordon Fraser

The environment in which a population evolves can have a crucial impact on selection. We study evolutionary dynamics in finite populations of fixed size in a changing environment. The population dynamics are driven by birth and death…

Populations and Evolution · Quantitative Biology 2014-09-01 Peter Ashcroft , Philipp M Altrock , Tobias Galla

While Large Language Models (LLMs) excel in reasoning, whether they can sustain persistent latent states remains under-explored. The capacity to maintain and manipulate unexpressed, internal representations-analogous to human working…

Computation and Language · Computer Science 2026-01-27 Jen-tse Huang , Kaiser Sun , Wenxuan Wang , Mark Dredze

Software bugs pose an ever-present concern for developers, and patching such bugs requires a considerable amount of costs through complex operations. In contrast, introducing bugs can be an effortless job, in that even a simple mutation can…

Software Engineering · Computer Science 2023-03-02 Jinhan Kim , Jongchan Park , Shin Yoo

Software process models must change continuously in order to remain consistent over time with the reality they represent, as well as relevant to the task they are intended for. Performing these changes in a sound and disci- plined fashion…

Software Engineering · Computer Science 2014-01-20 Martín Soto , Alexis Ocampo , Jürgen Münch

Our study is focused on an evaluation of the maintainability characteristic in the context of the long-term evolution of open-source software. According to well established software quality models such as the ISO 9126 and the more recent…

Software Engineering · Computer Science 2020-09-03 Arthur-Jozsef Molnar , Simona Motogna

Background: Open source software has an increasing importance in modern software development. However, there is also a growing concern on the sustainability of such projects, which are usually managed by a small number of developers,…

Software Engineering · Computer Science 2019-01-31 Jailton Coelho , Marco Tulio Valente , Luciana L. Silva , Emad Shihab

In verification-aware languages, such as Dafny, despite their critical role, specifications are as prone to error as implementations. Flaws in specifications can result in formally verified programs that deviate from the intended behavior.…

Software Engineering · Computer Science 2026-04-14 Isabel Amaral , Alexandra Mendes , José Campos
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