Verifying Agile Black-Box Test Case Quality Measurements: Expert Review

SO Barraood, H Mohd, F Baharom… - IEEE Access, 2023 - ieeexplore.ieee.org
Tests on software are performed to ensure it has no defects. Software testing companies and
organizations claimed that the testing problem increased their time and budget for testing by …

The human side of fuzzing: Challenges faced by developers during fuzzing activities

O Nourry, Y Kashiwa, B Lin, G Bavota… - ACM transactions on …, 2023 - dl.acm.org
Fuzz testing, also known as fuzzing, is a software testing technique aimed at identifying
software vulnerabilities. In recent decades, fuzzing has gained increasing popularity in the …

Detecting machining defects inside engine piston chamber with computer vision and machine learning

MM Abagiu, D Cojocaru, F Manta, A Mariniuc - Sensors, 2023 - mdpi.com
This paper describes the implementation of a solution for detecting the machining defects
from an engine block, in the piston chamber. The solution was developed for an automotive …

A grey literature review on data stream processing applications testing

A Vianna, FK Kamei, K Gama, C Zimmerle… - Journal of Systems and …, 2023 - Elsevier
Abstract Context: The Data Stream Processing (DSP) approach focuses on real-time data
processing by applying specific techniques for capturing and processing relevant data for on …

Exploring the role of simulator fidelity in the safety validation of learning‐enabled autonomous systems

A Baheri - AI Magazine, 2023 - Wiley Online Library
This article presents key insights from the New Faculty Highlights talk given at AAAI 2023,
focusing on the crucial role of fidelity simulators in the safety evaluation of learning‐enabled …

Using quantum computers to speed up dynamic testing of software

A Miranskyy - Proceedings of the 1st International Workshop on …, 2022 - dl.acm.org
Software under test can be analyzed dynamically, while it is being executed, to find defects.
However, as the number and possible values of input parameters increase, the cost of …

Deep imperative mutations have less impact

WB Langdon, D Clark - Automated Software Engineering, 2025 - Springer
Abstract Information theory and entropy loss predict deeper more hierarchical software will
be more robust. Suggesting silent errors and equivalent mutations will be more common in …

Testing education: a survey on a global scale

SM Melo, VXS Moreira, LN Paschoal… - Proceedings of the XXXIV …, 2020 - dl.acm.org
[Background]: The software industry has a high demand for professionals in the software
quality area. However, computing students, in general, leave the university with little or no …

Deep mutations have little impact

W Langdon, D Clark - Proceedings of the 13th ACM/IEEE International …, 2024 - dl.acm.org
Using MAGPIE (Machine Automated General Performance Improvement via Evolution of
software), we measure the impact of genetic improvement (GI) on a non-deterministic deeply …

An initial investigation of the effect of quality factors on Agile test case quality through experts' review

SO Barraood, H Mohd, F Baharom - Cogent Engineering, 2022 - Taylor & Francis
A test case is a cornerstone of the testing process; hence, it is quintessential to ensure the
quality of the test cases. However, test case design in the Agile testing process has …