DebtViz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt (ICSME 2023 - Tool Demo Track) - ICSME 2023

Sun 1 - Fri 6 October 2023 Bogotá, Colombia

Who

Yikun Li, Mohamed Soliman, Paris Avgeriou, Maarten van Ittersum

Track

ICSME 2023 Tool Demo Track

Time Zone

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When

Wed 4 Oct 2023 10:46 - 10:57 at Session 2 Room - RGD 04 - Software Quality Chair(s): Valentina Lenarduzzi, César França

Yikun Li

University of Groningen

Netherlands

Mohamed Soliman

Paris Avgeriou

University of Groningen, The Netherlands

Netherlands

Maarten van Ittersum

Time Zone

The program is currently displayed in (GMT-05:00) Bogota, Lima, Quito, Rio Branco.

Use conference time zone: (GMT-05:00) Bogota, Lima, Quito, Rio BrancoSelect 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 4 Oct
Displayed time zone: Bogota, Lima, Quito, Rio Branco change

	10:30 - 12:00	Software QualityJournal First Track / Tool Demo Track / New Ideas and Emerging Results Track / Research Track at Session 2 Room - RGD 04 Chair(s): Valentina Lenarduzzi University of Oulu, César França Universidade Federal Rural de Pernambuco

	10:30 16m Talk		Featherweight Assisted Vulnerability Discovery Journal First Track David Binkley Loyola University Maryland, Leon Moonen Simula Research Laboratory and BI Norwegian Business School, Sibren Isaacman Loyola University Maryland
	10:46 11m Talk		DebtViz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt Tool Demo Track Yikun Li University of Groningen, Mohamed Soliman , Paris Avgeriou University of Groningen, The Netherlands, Maarten van Ittersum
	10:57 11m Talk		Mining and Fusing Productivity Metrics with Code Quality Information at Scale Tool Demo Track Harsh Mukeshkumar Shah Dalhousie University, Qurram Zaheer Syed , Bharatwaaj Shankaranarayanan , Indranil Palit Dalhousie University, Arshdeep Singh , Kavya Raval , Kishan Savaliya , Tushar Sharma Dalhousie University Pre-print
	11:08 16m Talk		An Investigation of Confusing Code Patterns in JavaScript Journal First Track Adriano Torres Computer Science Department, University of Brasília, Caio Oliveira Computer Science Department, University of Brasília, Marcio Okimoto Computer Science Department, University of Brasília, Diego Marcilio USI Università della Svizzera italiana, Pedro Queiroga Informatics Center, Federal University of Pernambuco, Fernando Castor Utrecht University & Federal University of Pernambuco, Rodrigo Bonifácio Computer Science Department - University of Brasília, Edna Dias Canedo University of Brasilia (UnB), Márcio Ribeiro Federal University of Alagoas, Brazil, Eduardo Monteiro Statistics Department, University of Brasília
	11:24 11m Talk		StaticTracker: A Diff Tool for Static Code Warnings Tool Demo Track Junjie Li Concordia University, Jinqiu Yang Concordia University
	11:35 11m Talk		Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs New Ideas and Emerging Results Track Rrezarta Krasniqi University of North Carolina at Charlotte, Hyunsook Do University of North Texas
	11:46 14m Live Q&A		1:1 Q&A Research Track