Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CSCI 4950 Senior Software Project Course for AY 26 by Medtronic
Rayadurgam, S. (PI) & Fazzini, M. (Co-Principal Investigator)
8/18/25 → 5/29/26
Project: Research project
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Improving Software Failure Management Through the Use of Log Information
Fazzini, M. (PI)
6/10/25 → 5/31/26
Project: Research project
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Travel: NSF Student Travel Grant for the 2023 IEEE/ACM International Conference on Software Engineering (ICSE)
Fazzini, M. (PI)
THE NATIONAL SCIENCE FOUNDATION
2/1/23 → 10/31/25
Project: Research project
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DataTD: A Dataset of Java Projects Including Test Doubles
Li, M. & Fazzini, M., 2025, Proceedings - 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories, MSR 2025. Institute of Electrical and Electronics Engineers Inc., p. 851-855 5 p. (Proceedings - 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories, MSR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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ICST Tool Competition 2025 - Self-Driving Car Testing Track
Birchler, C., Klikovits, S., Fazzini, M. & Panichella, S., 2025, 2025 IEEE Conference on Software Testing, Verification and Validation, ICST 2025. Fasolino, A. R., Panichella, S., Aleti, A. & Mesbah, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 801-804 4 p. (2025 IEEE Conference on Software Testing, Verification and Validation, ICST 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
6 Scopus citations -
Toward Understanding and Detecting Battery Saver Issues in Android Apps
Siemers, W., Cruz, L. & Fazzini, M., 2025, Proceedings - 2025 IEEE/ACM 12th International Conference on Mobile Software Engineering and Systems, MOBILESoft 2025. Institute of Electrical and Electronics Engineers Inc., p. 82-93 12 p. (Proceedings - 2025 IEEE/ACM 12th International Conference on Mobile Software Engineering and Systems, MOBILESoft 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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ARUS: A Tool for Automatically Removing Unnecessary Stubbings from Test Suites
Li, M. & Fazzini, M., Oct 27 2024, Proceedings - 2024 39th ACM/IEEE International Conference on Automated Software Engineering, ASE 2024. Association for Computing Machinery, Inc, p. 2374-2377 4 p. (Proceedings - 2024 39th ACM/IEEE International Conference on Automated Software Engineering, ASE 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Automatically Removing Unnecessary Stubbings from Test Suites
Li, M. & Fazzini, M., 2024, Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024. Institute of Electrical and Electronics Engineers Inc., p. 233-244 12 p. (Proceedings - 2024 IEEE Conference on Software Testing, Verification and Validation, ICST 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations
Datasets
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ICST 2025 SDC Tool Competition Results
Birchler, C., Klikovits, S., Fazzini, M. & Panichella, S., ZENODO, Jan 24 2025
DOI: 10.5281/zenodo.14733136, https://zenodo.org/records/14733136
Dataset
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Artifact for Automatically Removing Unnecessary Stubbings from Test Suites
Li, M. & Fazzini, M., ZENODO, Oct 25 2023
DOI: 10.5281/zenodo.10041796, https://zenodo.org10041796
Dataset
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An Artifact for "Toward Understanding and Detecting Battery Saver Issues in Android Apps"
Siemers, W., Cruz, L. & Fazzini, M., ZENODO, Dec 6 2024
DOI: 10.5281/zenodo.14326522, https://zenodo.org/records/14326522
Dataset
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Artifacts for Characterizing Human Aspects in Reviews of COVID-19 Apps
Fazzini, M., Khalajzadeh, H., Haggag, O., Li, Z., Obie, H., Arora, C., Hussain, W. & Grundy, J., ZENODO, 2022
DOI: 10.5281/zenodo.6392198, https://zenodo.org/record/6392198
Dataset