English
Related papers

Related papers: Studying the Impact of Early Test Termination Due …

200 papers

Early stopping is a widely used technique to prevent poor generalization performance when training an over-expressive model by means of gradient-based optimization. To find a good point to halt the optimizer, a common practice is to split…

Machine Learning · Computer Science 2017-06-07 Maren Mahsereci , Lukas Balles , Christoph Lassner , Philipp Hennig

The test suite is essential for fault detection during software development. First-order mutation coverage is an accurate metric to quantify the quality of the test suite. However, it is computationally expensive. Hence, the adoption of…

Software Engineering · Computer Science 2016-10-18 Ali Parsai , Alessandro Murgia , Serge Demeyer

Assertion checking is an invaluable programmer's tool for finding many classes of errors or verifying their absence in dynamic languages such as Prolog. For Prolog programmers this means being able to have relevant properties such as modes,…

The growing adoption of prompt-based automation in software testing raises important issues regarding its computational and environmental sustainability. Existing sustainability studies in AI-driven testing primarily focus on large language…

Software Engineering · Computer Science 2026-04-06 Pragati Kumari , Novarun Deb

Universal quantifiers occur frequently in proof obligations produced by program verifiers, for instance, to axiomatize uninterpreted functions and to express properties of arrays. SMT-based verifiers typically reason about them via…

Programming Languages · Computer Science 2021-12-15 Alexandra Bugariu , Arshavir Ter-Gabrielyan , Peter Müller

Assertion messages significantly enhance unit tests by clearly explaining the reasons behind test failures, yet they are frequently omitted by developers and automated test-generation tools. Despite recent advancements, Large Language…

Software Engineering · Computer Science 2025-09-25 Ahmed Aljohani , Anamul Haque Mollah , Hyunsook Do

Monitoring is a runtime verification technique that allows one to check whether an ongoing computation of a system (partial trace) satisfies a given formula. It does not need a complete model of the system, but it typically requires the…

Artificial Intelligence · Computer Science 2025-08-26 Andrea Brunello , Luca Geatti , Angelo Montanari , Nicola Saccomanno

Background: Debugging is a key task during the software development cycle. Spectrum-based Fault Localization (SFL) is a promising technique to improve and automate debugging. SFL techniques use control-flow spectra to pinpoint the most…

Code coverage is a valuable guide for testing, but in AAA games the overhead of instrumentation conflicts with strict performance requirements and can destabilize automated tests. We propose and assess a selective instrumentation approach…

Software Engineering · Computer Science 2026-01-26 Ian Gauk , Doriane Olewicki , Joshua Romoff , Cor-Paul Bezemer

Background: Test suites are frequently used to quantify relevant software attributes, such as quality or productivity. Problem: We have detected that the same response variable, measured using different test suites, yields different…

Software Engineering · Computer Science 2022-04-26 Oscar Dieste , Fernando Uyaguari , Sira Vegas , Natalia Juristo

Automated test generators, such as search based software testing (SBST) techniques, replace the tedious and expensive task of manually writing test cases. SBST techniques are effective at generating tests with high code coverage. However,…

Software Engineering · Computer Science 2022-06-15 Anjana Perera

Fault localization is a fundamental aspect of debugging, aiming to identify code regions likely responsible for failures. Traditional techniques primarily correlate statement execution with failures, yet program behavior is influenced by…

Software Engineering · Computer Science 2025-02-27 Marius Smytzek , Martin Eberlein , Lars Grunske , Andreas Zeller

Bug reproduction is critical in the software debugging and repair process, yet the majority of bugs in open-source and industrial settings lack executable tests to reproduce them at the time they are reported, making diagnosis and…

Software Engineering · Computer Science 2026-01-09 Lara Khatib , Noble Saji Mathews , Meiyappan Nagappan

Increasing test-time computation is a straightforward approach to enhancing the quality of responses in Large Language Models (LLMs). While Best-of-N sampling and Self-Consistency with majority voting are simple and effective, they require…

Machine Learning · Computer Science 2025-03-04 Chengsong Huang , Langlin Huang , Jixuan Leng , Jiacheng Liu , Jiaxin Huang

Code completion is widely used by software developers to provide coding suggestions given a partially written code snippet. Apart from the traditional code completion methods, which only support single token completion at minimal positions,…

Software Engineering · Computer Science 2021-06-29 Jingxuan Li , Rui Huang , Wei Li , Kai Yao , Weiguo Tan

Multiple hypothesis testing problems arise naturally in science. In this paper, we introduce the new Fast Closed Testing (FACT) method for multiple testing, controlling the family-wise error rate. This error rate is state of the art in many…

Methodology · Statistics 2020-01-22 Edgar Dobriban

Recent observations have underscored a disparity between the inflated benchmark scores and the actual performance of LLMs, raising concerns about potential contamination of evaluation benchmarks. This issue is especially critical for…

Computation and Language · Computer Science 2024-04-05 Chunyuan Deng , Yilun Zhao , Xiangru Tang , Mark Gerstein , Arman Cohan

In games, and more generally in the field of software development, early detection of bugs is vital to maintain a high quality of the final product. Automated tests are a powerful tool that can catch a problem earlier in development by…

Machine Learning · Computer Science 2024-06-12 Leonardo Marini , Linus Gisslén , Alessandro Sestini

Code language models are increasingly adopted for both understanding and generative tasks. Despite their success, these models frequently produce overconfident incorrect predictions and underconfident correct predictions, undermining their…

Software Engineering · Computer Science 2026-05-20 Ravishka Rathnasuriya , Wei Yang

Much of the recent work developing formal methods techniques to specify or learn the behavior of autonomous systems is predicated on a belief that formal specifications are interpretable and useful for humans when checking systems. Though…

Artificial Intelligence · Computer Science 2023-05-30 Ho Chit Siu , Kevin Leahy , Makai Mann