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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

We propose a novel system, MathMistake Checker, designed to automate step-by-step mistake finding in mathematical problems with lengthy answers through a two-stage process. The system aims to simplify grading, increase efficiency, and…

Artificial Intelligence · Computer Science 2025-06-04 Tianyang Zhang , Zhuoxuan Jiang , Haotian Zhang , Lin Lin , Shaohua Zhang

Logs are widely used to record runtime information of software systems, such as the timestamp and the importance of an event, the unique ID of the source of the log, and a part of the state of a task's execution. The rich information of…

Software Engineering · Computer Science 2022-01-04 Sina Gholamian , Paul A. S. Ward

Automated specification-based testing has a long history with several notable tools having emerged. For example, QuickCheck for Haskell focuses on testing against user-provided properties. Others, such as JMLUnit, use specifications in the…

Programming Languages · Computer Science 2021-03-02 Janice Chin , David Pearce

Non-deterministically passing and failing test cases, so-called flaky tests, have recently become a focus area of software engineering research. While this research focus has been met with some enthusiastic endorsement from industry, prior…

Software Engineering · Computer Science 2022-04-11 Martin Gruber , Gordon Fraser

Machine learning is nowadays a standard technique for data analysis within software applications. Software engineers need quality assurance techniques that are suitable for these new kinds of systems. Within this article, we discuss the…

Software Engineering · Computer Science 2022-01-24 Steffen Herbold , Tobias Haar

Context: Issue tracking systems are used to track and describe tasks in the development process, e.g., requested feature improvements or reported bugs. However, past research has shown that the reported issue types often do not match the…

Software Engineering · Computer Science 2021-10-11 Steffen Herbold , Alexander Trautsch , Fabian Trautsch

Developers always wish to ensure that their latest changes to the code base do not break existing functionality. If test cases fail, they expect these failures to be connected to the submitted changes. Unfortunately, a flaky test can be the…

Software Engineering · Computer Science 2021-09-10 Azeem Ahmad , Ola Leifler , Kristian Sandahl

A self-healing software system is an advanced computer program or system designed to detect, diagnose, and automatically recover from faults or errors without human intervention. These systems are typically employed in mission-critical…

Software Engineering · Computer Science 2024-05-06 Zahra Yazdanparast

In this paper, a novel approach, Inforence, is proposed to isolate the suspicious codes that likely contain faults. Inforence employs a feature selection method, based on mutual information, to identify those bug-related statements that may…

Software Engineering · Computer Science 2017-12-12 Farid Feyzi , Saeed Parsa

Compilers are essential to software systems, and their bugs can propagate to dependent software. Ensuring compiler correctness is critical. However, isolating compiler bugs remains challenging due to the internal complexity of compiler…

Software Engineering · Computer Science 2025-10-16 Yujie Liu , Mingxuan Zhu , Shengyu Cheng , Dan Hao

Flaky tests are defined as tests that manifest non-deterministic behaviour by passing and failing intermittently for the same version of the code. These tests cripple continuous integration with false alerts that waste developers' time and…

Software Engineering · Computer Science 2022-07-22 Sarra Habchi , Guillaume Haben , Jeongju Sohn , Adriano Franci , Mike Papadakis , Maxime Cordy , Yves Le Traon

Data analysis for scientific experiments and enterprises, large-scale simulations, and machine learning tasks all entail the use of complex computational pipelines to reach quantitative and qualitative conclusions. If some of the activities…

Databases · Computer Science 2020-04-15 Raoni Lourenço , Juliana Freire , Dennis Shasha

Correctness and robustness are essential for logic synthesis applications, but they are often only tested with a limited set of benchmarks. Moreover, when the application fails on a large benchmark, the debugging process may be tedious and…

Software Engineering · Computer Science 2022-07-28 Siang-Yun Lee , Heinz Riener , Giovanni De Micheli

Software is used in critical applications in our day-to-day life and it is important to ensure its correctness. One popular approach to assess correctness is to evaluate software on tests. If a test fails, it indicates a fault in the…

Software Engineering · Computer Science 2025-04-01 Max Hort , Leon Moonen

Checkpoint/Restart (C/R) has been widely deployed in numerous HPC systems, Clouds, and industrial data centers, which are typically operated by system engineers. Nevertheless, there is no existing approach that helps system engineers…

Software Engineering · Computer Science 2024-11-06 Xiang Fu , Weiping Zhang , Xin Huang , Wubiao Xu , Shiman Meng , Luanzheng Guo , Kento Sato

Software is infamous for its poor quality and frequent occurrence of bugs. While there is no doubt that thorough testing is an appropriate answer to ensure sufficient quality, the poor state of software generally suggests that developers…

Software Engineering · Computer Science 2023-09-06 Philipp Straubinger , Gordon Fraser

Logs are imperative in the development and maintenance process of many software systems. They record detailed runtime information that allows developers and support engineers to monitor their systems and dissect anomalous behaviors and…

Software Engineering · Computer Science 2019-01-07 Jieming Zhu , Shilin He , Jinyang Liu , Pinjia He , Qi Xie , Zibin Zheng , Michael R. Lyu

We describe the integration of logical and uncertain reasoning methods to identify the likely source and location of software problems. To date, software engineers have had few tools for identifying the sources of error in complex software…

Artificial Intelligence · Computer Science 2013-03-08 Lisa J. Burnell , Eric J. Horvitz

This paper presents the results of a research study related to software system failures, with the goal of understanding how we might better evolve, maintain and support software systems in production. We have qualitatively analyzed thirty…

Software Engineering · Computer Science 2020-08-26 Jonathan Sillito , Esdras Kutomi