prof. dr. A. Capiluppi

Faculty of Science and Engineering

Telephone:

+31 50 36 33939

E-mail:

a.capiluppi rug.nl

ORCID Research Portal

Research interests

open source technologies
software development
software components
software maintenance
natural language processing
machine learning

Publications

An empirical analysis of source code metrics and smart contract resource consumption

Ajienka, N., Vangorp, P. & Capiluppi, A. , Oct-2020 , In : Journal of software-Evolution and process. 32 , 10 , 22 p. , e2267.

Research output: Contribution to journal › Article › Academic › peer-review

Collaboration and Innovation Dynamics in Software Ecosystems: A Technology Management Research Perspective

Den Besten, M., Amrit, C., Capiluppi, A. & Robles, G., 2020 , In : IEEE Transactions on Engineering Management. p. 1-6

Research output: Contribution to journal › Article › Academic › peer-review

Detecting Java software similarities by using different clustering techniques

Capiluppi, A. , Di Ruscio, D., Di Rocco, J., Nguyen, P. T. & Ajienka, N., 1-Jun-2020 , In : Information and Software Technology. 122 , 106279.

Research output: Contribution to journal › Article › Academic › peer-review

Lexical content as a cooperation aide: A study based on Java software

Capiluppi, A. & Ajienka, N., Jun-2020 , In : Journal of Systems and Software. 164 , 110543.

Research output: Contribution to journal › Article › Academic › peer-review

The Effect of Multiple Developers on Structural Attributes: A study Based on Java Software

Capiluppi, A. , Ajienka, N. & Counsell, S., Sep-2020 , In : Journal of Systems and Software. 167 , 110593.

Research output: Contribution to journal › Article › Academic › peer-review

Towards A Dependency-Driven Taxonomy of Software Types

Capiluppi, A. & Ajienka, N., 27-Jun-2020 , Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020: co-located with 42nd International Conference on Software Engineering (ICSE 2020). Association for Computing Machinery, Inc , p. 687-694 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Using the lexicon from source code to determine application domain

Capiluppi, A. , Ajienka, N., Ali, N., Arzoky, M., Counsell, S., Destefanis, G., Miron, A., Nagaria, B., Neykova, R. & Shepperd, M., 20-Apr-2020 , Proceedings of The International Conference on Evaluation and Assessment in Software Engineering (EASE 2020), Trondheim, Norway, 15-17 April 2020). ACM Press , p. 110-119 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Reducing procrastination while improving performance: A Wiki-powered Experiment with Students

Balderas, A., Capiluppi, A. , Palomo-Duarte, M., Malizia, A. & Dodero, J. M., 20-Aug-2019 , Proceedings of the 15th International Symposium on Open Collaboration, OpenSym 2019. Association for Computing Machinery, Inc , p. 1-10

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

The prevalence of errors in machine learning experiments

Shepperd, M., Guo, Y., Li, N., Arzoky, M., Capiluppi, A. , Counsell, S., Destefanis, G., Swift, S., Tucker, A. & Yousefi, L., 2019 , Intelligent Data Engineering and Automated Learning – IDEAL 2019. Yin, H., Camacho, D., Tino, P., Tallón-Ballesteros, A., Menezes, R. & Allmendinger, R. (eds.). Cham: SPRINGER , p. 102-109 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11871 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

The Relevance of Application Domains in Empirical Findings

Capiluppi, A. , 2019 , Proceedings of the 2Nd International Workshop on Software Health. Bilof, R. S. (ed.). IEEE , p. 17-24 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

All (86) publications

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