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
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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Applications of natural language processing in software traceability: A systematic mapping study
Pauzi, Z. & Capiluppi, A., Apr-2023, In: Journal of Systems and Software. 198, 19 p., 111616.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)148 Downloads (Pure) -
Artifact Traceability in DevOps: An Industrial Experience Report
Pauzi, Z., Thind, R. & Capiluppi, A., 14-Jun-2023, Proceedings of EASE 2023 - Evaluation and Assessment in Software Engineering. Association for Computing Machinery, p. 180-183 4 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile5 Downloads (Pure) -
Burnout in software engineering: A systematic mapping study
Tulili, T. R., Capiluppi, A. & Rastogi, A., Mar-2023, In: Information and Software Technology. 155, 19 p., 107116.Research output: Contribution to journal › Review article › peer-review
Open AccessFile73 Downloads (Pure) -
From Descriptive to Predictive: Forecasting Emerging Research Areas in Software Traceability Using NLP from Systematic Studies
Pauzi, Z. & Capiluppi, A., 2023, Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2023. Kaindl, H., Kaindl, H., Kaindl, H., Mannion, M., Maciaszek, L. & Maciaszek, L. (eds.). Science and Technology Publications, Lda, p. 538-545 8 p. (International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings; vol. 2023-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
GitRanking: A ranking of GitHub topics for software classification using active sampling
Sas, C., Capiluppi, A., Sipio, C. D., Rocco, J. D. & Di Ruscio, D., 18-Jul-2023, (E-pub ahead of print) In: Software - Practice and Experience. 25 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Downloads (Pure)
Datasets
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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