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Dale Dzielski
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Cited by
Cited by
Year
Applying machine learning to predict software fault proneness using change metrics, static code metrics, and a combination of them
YA Alshehri, K Goseva-Popstojanova, DG Dzielski, T Devine
SoutheastCon 2018, 1-7, 2018
302018
Investigate, identify and estimate the technical debt: a systematic mapping study
M BenIdris
Available at SSRN 3606172, 2020
192020
Enterprise architecture of mobile healthcare for large crowd events
AIES Eldein, HH Ammar, DG Dzielski
2017 6th International Conference on Information and Communication …, 2017
182017
Prioritizing software components risk: Towards a machine learning-based approach
M BenIdris, H Ammar, D Dzielski, WH Benamer
Proceedings of the 6th International Conference on Engineering & MIS 2020, 1-11, 2020
42020
Refactoring cost estimation for architectural technical debt
S Deeb, M BenIdris, H Ammar, D Dzielski
International Journal of Software Engineering and Knowledge Engineering 31 …, 2021
22021
The technical debt density over multiple releases and the refactoring story
M BenIdris, H Ammar, D Dzielski
International Journal of Software Engineering and Knowledge Engineering 31 …, 2021
22021
SREP+ SAST: A Comparison of Tools for Reverse Engineering Machine Code to Detect Cybersecurity Vulnerabilities in Binary Executables
TR Devine, M Campbell, M Anderson, D Dzielski
2022 International Conference on Computational Science and Computational …, 2022
12022
A Systematic Mapping Study of the Advancement in Software Vulnerability Forecasting
A Gautier, C Whitehead, D Dzielski, T Devine, J Hernandez
SoutheastCon 2023, 545-552, 2023
2023
Online Software Engineering Graduate Program Case Study: Significant Student Engagement and Career Impact
MAM Trujillo, Y Alshehri, DG Dzielski, K Goseva-Popstojanova
2023 ASEE North Central Section Conference, 2023
2023
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