TechDebt 2022
Tue 17 - Wed 18 May 2022 Pennsylvania, United States
co-located with ICSE 2022
Tue 17 May 2022 11:43 - 12:00 at TechDebt room - ML for TD

To date, the identification and quantification of Technical Debt (TD) rely heavily on a few sophisticated tools that check for violations of certain predefined rules, usually through static analysis. Different tools result in divergent TD estimates calling into question the reliability of findings derived by a single tool. To alleviate this issue, we present a tool that employs machine learning on a dataset built upon the convergence of three widely-adopted TD Assessment tools to automatically assess the class-level TD for any arbitrary Java project. The proposed tool is able to classify software classes as high-TD or not, by synthesizing source code and repository activity information retrieved by employing four popular open source analyzers. The classification results are combined with proper visualization techniques, to enable the identification of classes that are more likely to be problematic. To demonstrate the proposed tool and evaluate its usefulness, a case study is conducted based on a real-world open-source software project. The proposed tool is expected to facilitate TD management activities and enable further experimentation through its use in an academic or industrial setting.

Tue 17 May

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

11:10 - 12:00
Research paper
Comprehending the Use of Intelligent Techniques to Support Technical Debt Management
Technical Papers
Danyllo Albuquerque UFCG, Brazil, Everton Guimaraes Pennsylvania State University, USA, Graziela Tonin , Mirko Perkusich VIRTUS, Hyggo Almeida , Angelo Perkusich
PILOT: Synergy between Text Processing and Neural Networks to Detect Self-Admitted Technical Debt
Technical Papers
Amleto Di Salle University of L'Aquila, Alessandra Rota University of Milano Bicocca, Phuong T. Nguyen University of L’Aquila, Davide Di Ruscio University of L'Aquila, Francesca Arcelli Fontana University of Milano-Bicocca, Irene Sala University of Milano - Bicocca
TD Classifier: Automatic Identification of Java Classes with High Technical Debt
Tools Track
Dimitrios Tsoukalas CERTH/ITI, Alexander Chatzigeorgiou University of Macedonia, Apostolos Ampatzoglou University of Macedonia, Nikolaos Mittas International Hellenic University, Dionysios Kehagias Centre for Research and Technology Hellas, Thessaloniki, Greece

Information for Participants
Tue 17 May 2022 11:10 - 12:00 at TechDebt room - ML for TD
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