TechDebt 2022
Tue 17 - Wed 18 May 2022 Pennsylvania, United States
co-located with ICSE 2022
Tue 17 May 2022 13:16 - 13:33 at TechDebt room - Papers Session 2 - Smells and Metrics

The advancement of artificial intelligence and the implementation of machine learning capabilities in programming languages such as Python, along with cloud services, allow researchers to apply methods to cluster and predict behaviors and patterns in software engineering data. On the other hand, these methods need a large amount of data in order to work with high accuracy in different contexts. This paper introduces Sonarlizer Xplorer: a tool that captures a large number of technical debt items and code metrics from public GitHub projects. Sonarlizer Xplorer is composed of two sub-tools. The first is Github Xplorer, responsible for mining public Github repositories from an initial project. The second is Sonarlizer, responsible for taking projects and analyzing them using SonarQube. We used the tool over four months, collecting technical debt items and code metrics on almost 46,000 public Java projects. In addition, we mined over 57 million repositories and 4 million users.

Tue 17 May

Displayed time zone: Eastern Time (US & Canada) change

13:00 - 13:50
Papers Session 2 - Smells and MetricsTechnical Papers / Tools Track / Catering at TechDebt room
An Architecture Smell Knowledge Base for Managing Architecture Technical Debt
Technical Papers
Paula Rachow Universität Hamburg, Matthias Riebisch University of Hamburg
Sonarlizer Xplorer: a tool to mine Github projects and identify technical debt items using SonarQube
Tools Track
Diogo Pina University of São Paulo, Alfredo Goldman University of São Paulo, Carolyn Seaman University of Maryland Baltimore County
Merging Smell Detectors: Evidence on the Agreement of Multiple Tools
Tools Track
Apostolos Ichtsis University of Macedonia, Nikolaos Mittas International Hellenic University, Apostolos Ampatzoglou University of Macedonia, Alexander Chatzigeorgiou University of Macedonia

Information for Participants
Tue 17 May 2022 13:00 - 13:50 at TechDebt room - Papers Session 2 - Smells and Metrics
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