Research output per year
Research output per year
Personal profile
Research interests
- open source technologies
- software development
- software components
- software maintenance
- natural language processing
- machine learning
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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Dive into the research topics where Andrea Capiluppi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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Applying SOLID principles for the refactoring of legacy code: An experience report
Yanakiev, I., Lazar, B. M. & Capiluppi, A., Feb-2025, In: Journal of Systems and Software. 220, 15 p., 112254.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile10 Downloads (Pure) -
Beyond the Systematic: Forecasting Importance and Emergence of Research Areas in Applications of Software Traceability Using NLP
Pauzi, Z. & Capiluppi, A., 2024, Evaluation of Novel Approaches to Software Engineering. Kaindl, H., Mannion, M. & Maciaszek, L. A. (eds.). Springer, p. 119-140 22 p. (Communications in Computer and Information Science; vol. 2028 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile23 Downloads (Pure) -
Multi-granular software annotation using file-level weak labelling
Sas, C. & Capiluppi, A., Jan-2024, In: Empirical Software Engineering. 29, 1, 34 p., 12.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)65 Downloads (Pure) -
Refactoring Legacy Code Using Cleaning Up Cycles: An Experience Report
Girjoaba, A. V. & Capiluppi, A., 19-Dec-2024, 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE, p. 753-764 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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SATDAUG - A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
Sutoyo, E. & Capiluppi, A., 2024, MSR '24: Proceedings of the 21st International Conference on Mining Software Repositories. O'Conner, L. (ed.). Association for Computing Machinery, p. 289-293 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)54 Downloads (Pure)
Datasets
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Automatic Bottom-Up Taxonomy Construction: A Software Application Domain Study - Data
Sas, C. (Contributor) & Capiluppi, A. (Contributor), ZENODO, 29-Aug-2024
Dataset
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Automatic Bottom-Up Taxonomy Construction: A Software Application Domain Study - Data
Sas, C. (Contributor) & Capiluppi, A. (Contributor), ZENODO, 11-Oct-2024
Dataset
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LabelGit: A dataset for software repositories classification using attributed dependency graphs
Sas, C. (Contributor) & Capiluppi, A. (Contributor), ZENODO, 1-Feb-2021
Dataset
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GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling
Sas, C. (Contributor), Capiluppi, A. (Contributor), Di Sipio, C. (Contributor), Di Rocco, J. (Contributor) & Di Ruscio, D. (Contributor), ZENODO, 19-Jan-2022
Dataset
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Multi-granular Software Classification using File-Level Weak Supervision - Data
Sas, C. (Contributor) & Capiluppi, A. (Contributor), ZENODO, 17-May-2023
Dataset