debtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt (EASE 2021 - Vision and Emerging Results Track) - EASE 2021

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Mon 21 - Thu 24 June 2021

Who

Irene Sala, Antonela Tommasel, Francesca Arcelli Fontana

Track

EASE 2021 Vision and Emerging Results Track

Time Zone

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When

Wed 23 Jun 2021 11:37 - 12:00 at Zoom - Software Maintenance Chair(s): Peng Liang

Link to Preprint

https://docs.google.com/spreadsheets/d/1zplyVgXYGzMGLF-bpaOVdzgnbWtTkkwc/edit#gid=1866361317

Irene Sala

University of Milano - Bicocca

Antonela Tommasel

ISISTAN Research Institute, CONICET-UNCPBA

Francesca Arcelli Fontana

University of Milano-Bicocca

Italy

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

Use conference time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, ViennaSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Wed 23 Jun
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	10:30 - 12:00	Software MaintenanceVision and Emerging Results Track / EASE 2021 at Zoom Chair(s): Peng Liang Wuhan University

	10:30 22m Full-paper		Human-level Ordinal Maintainability Prediction Based on Static Code Metrics EASE 2021 Markus Schnappinger Technical University of Munich, Arnaud Fietzke , Alexander Pretschner Technical University of Munich Pre-print
	10:52 22m Full-paper		Test Smell Detection Tools: A Systematic Mapping Study EASE 2021 Wajdi Aljedaani Alkharj College of Technology, Anthony Peruma Rochester Institute of Technology, Ahmed Aljohani Rochester Institute of Technology, Mazen Alotaibi Rochester Institute of Technology, Mohamed Wiem Mkaouer Rochester Institute of Technology, Ali Ouni ETS Montreal, University of Quebec, Christian D. Newman Rochester Institute of Technology, Abdullatif Ghallab University of North Taxes, Stephanie Ludi University of North Texas Pre-print
	11:15 22m Full-paper		Modernizing Legacy Systems with Microservices: A Roadmap EASE 2021 Daniele Wolfart PPGComp - Western Paraná State University (UNIOESTE), Wesley Assunção Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Ivonei F. da Silva PPGComp - Western Paraná State University (UNIOESTE), Diogo C. P. Domingos PPGComp - Western Paraná State University (UNIOESTE), Ederson Schmeing PPGComp - Western Paraná State University (UNIOESTE), Guilherme Villaca PPGComp - Western Paraná State University (UNIOESTE), Diogo do N. Paza PPGComp - Western Paraná State University (UNIOESTE)
	11:37 22m Vision and Emerging Results		debtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt Vision and Emerging Results Track Irene Sala University of Milano - Bicocca, Antonela Tommasel ISISTAN Research Institute, CONICET-UNCPBA, Francesca Arcelli Fontana University of Milano-Bicocca Pre-print