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Related papers: Source Code Optimization using Equivalent Mutants

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With the increasing release of powerful language models trained on large code corpus (e.g. CodeBERT was trained on 6.4 million programs), a new family of mutation testing tools has arisen with the promise to generate more "natural" mutants…

Software Engineering · Computer Science 2023-03-09 Aayush Garg , Renzo Degiovanni , Mike Papadakis , Yves Le Traon

Industrial robotic systems (IRS) are increasingly deployed in diverse environments, where failures can result in severe accidents and costly downtime. Ensuring the reliability of the software controlling these systems is therefore critical.…

Robotics · Computer Science 2025-11-19 Marcela Gonçalves dos Santos , Sylvain Hallé , Fábio Petrillo

Mutation analysis is a well-established technique for assessing test quality in the traditional software development paradigm by injecting artificial faults into programs. Its application to deep learning (DL) has expanded beyond classical…

Software Engineering · Computer Science 2025-12-19 Zaheed Ahmed , Philip Makedonski , Jens Grabowski

Optimizing compilers have become a cornerstone for high-performance program generation in research and industry. Optimizations, including those implemented manually by a user and those target-specific and non-target-specific, are used to…

Programming Languages · Computer Science 2026-05-05 Emily Tucker , Louis-Noël Pouchet , Erika Hunhoff , Stephen Neuendorffer , Erwei Wang

Refactoring is a critical task in software maintenance, and is usually performed to enforce better design and coding practices, while coping with design defects. The Extract Method refactoring is widely used for merging duplicate code…

In recent years, Neural Machine Translator (NMT) has shown promise in automatically editing source code. Typical NMT based code editor only considers the code that needs to be changed as input and suggests developers with a ranked list of…

Software Engineering · Computer Science 2021-08-17 Saikat Chakraborty , Baishakhi Ray

Neutral landscapes and mutational robustness are believed to be important enablers of evolvability in biology. We apply these concepts to software, defining mutational robustness to be the fraction of random mutations that leave a program's…

Software Engineering · Computer Science 2013-06-28 Eric Schulte , Zachary P. Fry , Ethan Fast , Westley Weimer , Stephanie Forrest

Similarity search in math is to find mathematical expressions that are similar to a user's query. We conceptualized the similarity factors between mathematical expressions, and proposed an approach to math similarity search (MSS) by…

Information Retrieval · Computer Science 2015-06-01 Qun Zhang , Abdou Youssef

Mutation testing can help minimize the delivery of faulty software. Therefore, it is a recommended practice for developing embedded software in safety-critical cyber-physical systems (CPS). However, state-of-the-art mutation testing…

Software Engineering · Computer Science 2025-07-04 Jaekwon Lee , Fabrizio Pastore , Lionel Briand

Computing according to laymens procedures is changed to contain a paradigm of inoptimality in the high level and assembled code. The code is changed to maximize the flow of information contained in the electrons so that they function more…

General Physics · Physics 2007-05-23 Gordon Chalmers

As developers increasingly rely on LLM-generated code summaries for documentation, testing, and review, it is important to study whether these summaries accurately reflect what the program actually does. LLMs often produce confident…

Software Engineering · Computer Science 2026-02-23 Lara Khatib , Micheal Pu , Bogdan Vasilescu , Meiyappan Nagappan

In computer programming languages, indentation formats program source code to improve readability. Programming languages make use of indentation to define program structure .Programmers use indentation to understand the structure of their…

Programming Languages · Computer Science 2013-11-14 Niranjan Kumar Parvatham

This paper delves into the intricacies of code summarization using advanced transformer-based language models. Through empirical studies, we evaluate the efficacy of code summarization by altering function and variable names to explore…

Machine Learning · Computer Science 2023-10-30 Debanjan Mondal , Abhilasha Lodha , Ankita Sahoo , Beena Kumari

This paper presents our approach to use refactoring techniques together with code generation. Refactoring is particularly useful if not only the generated classes but also the generator itself can be adapted in an automatic fashion. We have…

Software Engineering · Computer Science 2014-09-24 Holger Krahn , Bernhard Rumpe

It is well known that anti-malware scanners depend on malware signatures to identify malware. However, even minor modifications to malware code structure results in a change in the malware signature thus enabling the variant to evade…

Cryptography and Security · Computer Science 2025-05-27 Ritwik Murali , C Shunmuga Velayutham

As a new research area, quantum software testing lacks systematic testing benchmarks to assess testing techniques' effectiveness. Recently, some open-source benchmarks and mutation analysis tools have emerged. However, there is insufficient…

Software Engineering · Computer Science 2025-05-05 Eñaut Mendiluze Usandizaga , Tao Yue , Paolo Arcaini , Shaukat Ali

In this article, we propose the definition of specific mutation operators for testing Geographic Information Systems. We describe the process for applying the operators and generating mutants, and present a case study where these mutation…

Software Engineering · Computer Science 2020-03-03 Suilen H. Alvarado

AlphaCode is a code generation system for assisting software developers in solving competitive programming problems using natural language problem descriptions. Despite the advantages of the code generating system, the open source community…

Mutation testing may be used to guide test case generation and as a technique to assess the quality of test suites. Despite being used frequently, mutation testing is not so commonly applied in the mobile world. One critical challenge in…

An approximate program transformation is a transformation that can change the semantics of a program within a specified empirical error bound. Such transformations have wide applications: they can decrease computation time, power…

Programming Languages · Computer Science 2013-04-23 Edwin Westbrook , Swarat Chaudhuri