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2020 – today
- 2024
[j9]Nimmi Rashinika Weeraddana
, Mahmoud Alfadel, Shane McIntosh:
Dependency-Induced Waste in Continuous Integration: An Empirical Study of Unused Dependencies in the npm Ecosystem. Proc. ACM Softw. Eng. 1(FSE): 2632-2655 (2024)- [j8]Nimmi Rashinika Weeraddana, Mahmoud Alfadel, Shane McIntosh:
Characterizing Timeout Builds in Continuous Integration. IEEE Trans. Software Eng. 50(6): 1450-1463 (2024) - [j7]Partha Chakraborty, Krishna Kanth Arumugam, Mahmoud Alfadel, Meiyappan Nagappan, Shane McIntosh:
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets. IEEE Trans. Software Eng. 50(8): 2163-2177 (2024) - [j6]Aniruddhan Murali, Mahmoud Alfadel, Meiyappan Nagappan, Meng Xu, Chengnian Sun:
AddressWatcher: Sanitizer-Based Localization of Memory Leak Fixes. IEEE Trans. Software Eng. 50(9): 2398-2411 (2024) - [j5]Partha Chakraborty, Mahmoud Alfadel, Meiyappan Nagappan:
RLocator: Reinforcement Learning for Bug Localization. IEEE Trans. Software Eng. 50(10): 2695-2708 (2024) - [c6]Aniruddhan Murali, Noble Saji Mathews, Mahmoud Alfadel, Meiyappan Nagappan, Meng Xu:
FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level Fuzzing. ICSE 2024: 65:1-65:13 - [c5]Mahmoud Alfadel, Shane McIntosh:
The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology. ICSE 2024: 233:1-233:12 - [i6]Aniruddhan Murali, Noble Saji Mathews, Mahmoud Alfadel, Meiyappan Nagappan, Meng Xu:
FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing. CoRR abs/2402.01923 (2024) - [i5]Partha Chakraborty, Krishna Kanth Arumugam, Mahmoud Alfadel, Meiyappan Nagappan, Shane McIntosh:
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets. CoRR abs/2407.03093 (2024) - [i4]Partha Chakraborty, Mahmoud Alfadel, Meiyappan Nagappan:
BLAZE: Cross-Language and Cross-Project Bug Localization via Dynamic Chunking and Hard Example Learning. CoRR abs/2407.17631 (2024) - [i3]Aniruddhan Murali, Mahmoud Alfadel, Meiyappan Nagappan, Meng Xu, Chengnian Sun:
AddressWatcher: Sanitizer-Based Localization of Memory Leak Fixes. CoRR abs/2408.04764 (2024) - 2023
- [j4]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab:
Empirical analysis of security vulnerabilities in Python packages. Empir. Softw. Eng. 28(3): 59 (2023) - [j3]Nimmi Rashinika Weeraddana, Xiaoyan Xu, Mahmoud Alfadel, Shane McIntosh, Meiyappan Nagappan:
An empirical comparison of ethnic and gender diversity of DevOps and non-DevOps contributions to open-source projects. Empir. Softw. Eng. 28(6): 150 (2023) - [j2]Mahmoud Alfadel, Nicholas Alexandre Nagy, Diego Elias Costa, Rabe Abdalkareem, Emad Shihab:
Empirical analysis of security-related code reviews in npm packages. J. Syst. Softw. 203: 111752 (2023) - [j1]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab, Bram Adams:
On the Discoverability of npm Vulnerabilities in Node.js Projects. ACM Trans. Softw. Eng. Methodol. 32(4): 91:1-91:27 (2023) - [c4]Mahtab Nejati, Mahmoud Alfadel, Shane McIntosh:
Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions. ICSE 2023: 1213-1224 - [i2]Partha Chakraborty, Mahmoud Alfadel, Meiyappan Nagappan:
RLocator: Reinforcement Learning for Bug Localization. CoRR abs/2305.05586 (2023) - 2021
- [c3]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab, Mouafak Mkhallalati:
On the Use of Dependabot Security Pull Requests. MSR 2021: 254-265 - [c2]Mahmoud Alfadel, Diego Elias Costa, Emad Shihab:
Empirical Analysis of Security Vulnerabilities in Python Packages. SANER 2021: 446-457 - 2020
- [i1]Mahmoud Alfadel, Diego Elias Costa, Mouafak Mkhallalati, Emad Shihab, Bram Adams:
On the Threat of npm Vulnerable Dependencies in Node.js Applications. CoRR abs/2009.09019 (2020)
2010 – 2019
- 2016
- [c1]Khaleque Md. Aashiq Kamal, Mahmoud Alfadel, Munawara Saiyara Munia:
Memory forensics tools: Comparing processing time and left artifacts on volatile memory. IWCI 2016: 84-90
Coauthor Index
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