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Mutation testing is an established fault-based testing technique. It operates by seeding faults into the programs under test and asking developers to write tests that reveal these faults. These tests have the potential to reveal a large…

Software Engineering · Computer Science 2023-01-10 Ahmed Khanfir , Renzo Degiovanni , Mike Papadakis , Yves Le Traon

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…

The competent programmer hypothesis states that most programmers are competent enough to create correct or almost correct source code. Because this implies that bugs should usually manifest through small variations of the correct code, the…

Software Engineering · Computer Science 2023-05-17 Zaheed Ahmed , Eike Stein , Steffen Herbold , Fabian Trautsch , Jens Grabowski

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

Context: Mining software repositories is a popular means to gain insights into a software project's evolution, monitor project health, support decisions and derive best practices. Tools supporting the mining process are commonly applied by…

Software Engineering · Computer Science 2025-11-13 Nicole Hoess , Carlos Paradis , Rick Kazman , Wolfgang Mauerer

Simulation modelling systems are routinely used to test or understand real-world scenarios in a controlled setting. They have found numerous applications in scientific research, engineering, and industrial operations. Due to their complex…

Software Engineering · Computer Science 2024-09-09 Riasat Mahbub , Mohammad Masudur Rahman , Muhammad Ahsanul Habib

Large Language Models (LLMs) have recently been used to generate mutants in both research work and in industrial practice. However, there has been no comprehensive empirical study of their performance for this increasingly important…

Software Engineering · Computer Science 2026-01-23 Bo Wang , Mingda Chen , Ming Deng , Youfang Lin , Mark Harman , Mike Papadakis , Jie M. Zhang

Evaluating Software testability can assist software managers in optimizing testing budgets and identifying opportunities for refactoring. In this paper, we abandon the traditional approach of pursuing testability measurements based on the…

Software Engineering · Computer Science 2021-02-23 Luca Guglielmo , Andrea Riboni , Giovanni Denaro

During the software lifecycle, a program can evolve several times for different reasons such as the optimisation of a bottle-neck, the refactoring of an obscure function, etc. These code changes often involve several functions or modules,…

Programming Languages · Computer Science 2017-09-18 David Insa , Sergio Pérez , Josep Silva , Salvador Tamarit

Mutation testing research has indicated that a major part of its application cost is due to the large number of low utility mutants that it introduces. Although previous research has identified this issue, no previous study has proposed any…

Software Engineering · Computer Science 2022-03-02 Aayush Garg , Milos Ojdanic , Renzo Degiovanni , Thierry Titcheu Chekam , Mike Papadakis , Yves Le Traon

Mutation analysis has many applications, such as assessing the quality of test cases, fault localization, test input generation, security analysis, etc. Such applications involve running test suite against a large number of program mutants…

Software Engineering · Computer Science 2021-02-24 Ali Ghanbari , Andrian Marcus

An extreme transformation removes the body of a method that is reached by one test case at least. If the test suite passes on the original program and still passes after the extreme transformation, the transformation is said to be…

Software Engineering · Computer Science 2019-09-12 Oscar Luis Vera-Pérez , Benjamin Danglot , Martin Monperrus , Benoit Baudry

Information Retrieval (IR) systems are exposed to constant changes in most components. Documents are created, updated, or deleted, the information needs are changing, and even relevance might not be static. While it is generally expected…

Information Retrieval · Computer Science 2024-09-10 Jüri Keller , Timo Breuer , Philipp Schaer

Many software engineering techniques, such as fault localization, operate based on relevance relationships between tests and code. These relationships are often inferred through the use of dynamic test execution information (test execution…

Software Engineering · Computer Science 2022-03-23 Jeongju Sohn , Mike Papadakis

Large Language Models (LLMs) are increasingly integrated into software applications. Downstream application developers often access LLMs through APIs provided as a service. However, LLM APIs are often updated silently and scheduled to be…

Software Engineering · Computer Science 2024-02-08 Wanqin Ma , Chenyang Yang , Christian Kästner

Understanding how software defects manifest and evolve in production environments is critical for improving reliability. While previous research has largely focused on pre-release defects, the nature of residual faults, i.e., those escaping…

Software Engineering · Computer Science 2026-04-30 Domenico Cotroneo , Giuseppe De Rosa , Cristina Improta , Benedetta Gaia Varriale

Contrast set consistency is a robustness measurement that evaluates the rate at which a model correctly responds to all instances in a bundle of minimally different examples relying on the same knowledge. To draw additional insights, we…

Computation and Language · Computer Science 2023-10-24 Jacob K. Johnson , Ana Marasović

Large Language Models (LLMs) changed the way we design and interact with software systems. Their ability to process and extract information from text has drastically improved productivity in a number of routine tasks. Developers that want…

Machine Learning · Computer Science 2025-08-26 Federico Errica , Giuseppe Siracusano , Davide Sanvito , Roberto Bifulco

Mutation testing has emerged as a powerful technique for evaluating the effectiveness of test suites for Deep Neural Networks. Among existing approaches, the statistical mutant killing criterion of DeepCrime has leveraged statistical…

Software Engineering · Computer Science 2025-07-16 Jinhan Kim , Nargiz Humbatova , Gunel Jahangirova , Shin Yoo , Paolo Tonella

Software testing is the important phase of software development process. But, this phase can be easily missed by software developers because of their limited time to complete the project. Since, software developers finish their software…

Software Engineering · Computer Science 2010-02-11 Mrs. R. Jeevarathinam , Dr. Antony Selvadoss Thanamani
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