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2023
S. Malik, M. A. Naqvi and L. Moonen. CHESS: A Framework for Evaluation of Self-adaptive Systems based on Chaos Engineering. arXiv, 2023.PDF icon 2303.07283.pdf (1.51 MB)
S. Malik, M. A. Naqvi and L. Moonen. Using Fault Injection to Generate Labeled Anomaly Datasets for Improving Fault Tolerance in Microservice-based Distributed Systems. Oslo, Norway: Simula Research Laboratory, 2023.
2022
D. Binkley and L. Moonen. Assessing the Impact of Execution Environment on Observation-Based Slicing. arXiv, 2022.PDF icon binkley2022_assessing_arxiv.pdf (237.97 KB)
D. Binkley and L. Moonen. Assessing the Impact of Execution Environment on Observation-Based Slicing In IEEE Working Conference on Source Code Analysis and Manipulation. IEEE, 2022.PDF icon binkley_moonen_assessing_2022.pdf (212.12 KB)
L. Moonen and L. Vidziunas. CVEfixes Dataset v1.0.7: Automatically Collected Vulnerabilities and Their Fixes from Open-Source Software. Zenodo, 2022.
M. A. Naqvi, S. Malik, M. Astekin and L. Moonen. On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering In IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE, 2022.PDF icon naqvi2022_evaluating_arxiv.pdf (627.4 KB)
M. A. Naqvi, S. Malik, M. Astekin and L. Moonen. On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering. arXiv, 2022.PDF icon naqvi_et_al_2022_on_evaluating_self-adaptive_and_self-healing_systems_using_chaos_engineering_.pdf (627.4 KB)
D. Binkley, L. Moonen and S. Isaacman. "Featherweight Assisted Vulnerability Discovery." Information and Software Technology 146 (2022): 106844.PDF icon binkley2022_featherweight.pdf (782.28 KB)
D. Binkley, L. Moonen and S. Isaacman. Featherweight Assisted Vulnerability Discovery. arXiv, 2022.PDF icon binkley2022_featherweight_arxiv.pdf (709.01 KB)
D. Binkley, L. Moonen and S. Isaacman. Replication package for the paper Featherweight Assisted Vulnerability Discovery. Zenodo, 2022.
S. Malik and L. Moonen. Replication package for the paper On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering. Zenodo, 2022.
O. I. Al-Bataineh and L. Moonen. Towards Extending the Range of Bugs That Automated Program Repair Can Handle In IEEE International Conference on Software Quality, Reliability and Security (QRS). IEEE, 2022.PDF icon qrs_r107_albataineh_moonen_extending_apr.pdf (350.53 KB)
O. I. Al-Bataineh and L. Moonen. Towards Extending the Range of Bugs That Automated Program Repair Can Handle. arXiv, 2022.PDF icon al-bataineh_moonen_2022_towards_extending_the_range_of_bugs_that_automated_program_repair_can_handle_.pdf (436.21 KB)
2021
M. A. Naqvi, M. Astekin, S. Malik and L. Moonen. Adaptive Immunity for Software: Towards Autonomous Self-healing Systems In 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, 2021.PDF icon naqvi_et_al-adaptive_immunity_for_software.pdf (122.44 KB)
G. P. Bhandari, A. Naseer and L. Moonen. CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software In 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2021), Edited by X. Xia and S. Amasaki. ACM, 2021.PDF icon bhandari-naseer-moonen_-_cvefixes.pdf (438.49 KB)
O. I. Al-Bataineh, A. Grishina and L. Moonen. Towards More Reliable Automated Program Repair by Integrating Static Analysis Techniques. arXiv, 2021.PDF icon 2111.05713.pdf (205.88 KB)
O. I. Al-Bataineh, A. Grishina and L. Moonen. Towards More Reliable Automated Program Repair by Integrating Static Analysis Techniques In 21st IEEE International Conference on Software Quality, Reliability, and Security. IEEE, 2021.PDF icon al-bataineh_grishina_moonen_-_reliable-apr.pdf (263.16 KB)
2020
L. Moonen, D. Binkley and S. Pugh. "On Adaptive Change Recommendation." Journal of Systems and Software 164 (2020).PDF icon moonen_-_on_adaptive_change_recommendation.pdf (1.44 MB)
C. M. Rosenberg and L. Moonen. Spectrum-Based Log Diagnosis In Empirical Software Engineering and Measurement (ESEM), Edited by M. Kalinowski and F. Sarro. ACM, 2020.PDF icon rosenberg_moonen_-_spectrum-based_log_diagnosis.pdf (1.94 MB)
2019
M. Monperrus, B. O'Reilly, L. Moonen and G. Grosch. Antifragility and Chaos Engineering In HiQ, Stockholm, Sweden, Edited by R. Williams., 2019.
L. Moonen. cureIT and secureIT: Towards Resilient and Secure Software Systems In The 14th Certus User Partner Workshop, Larvik, Norway., 2019.
L. Moonen. Supporting Continuous Engineering 
with Automated Log Clustering and Diagnosis In KTH Royal Institute of Technology, Stockholm, Sweden., 2019.
2018
T. G. Rolfsnes, L. Moonen, S. Di Alesio, R. Behjati and D. Binkley. "Aggregating Association Rules to Improve Change Recommendation." Journal of Empirical Software Engineering (EMSE) 23, no. 2 (2018): 987-1035.PDF icon aggregating_association_rules_to_improve_change_recommendation.pdf (3.6 MB)
S. Pugh, D. Binkley and L. Moonen. The Case for Adaptive Change Recommendation In 18th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 2018.PDF icon the_case_for_adaptive_change_recommendation.pdf (255.87 KB)
L. Moonen, T. G. Rolfsnes, D. Binkley and S. Di Alesio. Data set for the paper What are the Effects of History Length and Age on Mining Software Change Impact?. Zenodo, 2018.

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