Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0
Code smell detection tools not only help practitioners and researchers detect maintainability issues but also enable repository mining and empirical research involving code smells. However, current tools for detecting code smells exhibit notable shortcomings, such as limited coverage for a diverse kind of smells at varying granularities, lack of maintenance, and inadequate support for large-scale mining studies. To address the limitations, the first major version of DesigniteJava supported code smells detection at architecture, design, and implementation smells along with commonly used code quality metrics. This paper presents DesigniteJava 2.0 that adds testability and test smell detection support. Also, the tool offers new analysis modes, including an optimized multi-commit analysis mode, to support large-scale multi-commit analysis. We show that the optimized multi-commit mode reduces analysis time by up to 46% without compromising the analysis efficacy. The tool is available online - https://www.designite-tools.com/static/download/DJE/DesigniteJava.jar. Replication package including all the validation data and scripts can be found online - https://zenodo.org/records/10300873. Demonstration video can be found on YouTube - https://youtu.be/Na3DeJ9Stis.
Tushar Sharma is an assistant professor at Dalhousie University, Canada. He leads Software Maintenance and Analytics Research Team (SMART) lab focusing on software design and architecture, refactoring, code quality, technical debt, and machine learning for software engineering (ML4SE). He earned PhD from Athens University of Economics and Business, Athens, Greece, specializing in software engineering. He obtained an MS in Computer Science from the Indian Institute of Technology-Madras, Chennai, India. His professional experience includes working with Siemens Research, USA, for approximately two years and with Siemens Corporate Technology, India, for seven years. He co-authored Refactoring for Software Design Smells: Managing Technical Debt and two Oracle Java certification books. He founded and developed Designite, a software design quality assessment tool many practitioners and researchers use worldwide.
Mon 15 AprDisplayed time zone: Lisbon change
14:00 - 15:30 | Software QualityTechnical Papers / Registered Reports / Data and Tool Showcase Track at Grande Auditório Chair(s): Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada | ||
14:00 12mTalk | Not all Dockerfile Smells are the Same: An Empirical Evaluation of Hadolint Writing Practices by Experts Technical Papers Giovanni Rosa University of Molise, Simone Scalabrino University of Molise, Gregorio Robles Universidad Rey Juan Carlos, Rocco Oliveto University of Molise | ||
14:12 12mTalk | Supporting High-Level to Low-Level Requirements Coverage Reviewing with Large Language Models Technical Papers Anamaria-Roberta Preda Johannes Kepler University Linz, Christoph Mayr-Dorn JOHANNES KEPLER UNIVERSITY LINZ, Atif Mashkoor Johannes Kepler University Linz, Alexander Egyed Johannes Kepler University Linz DOI Pre-print | ||
14:24 12mTalk | On the Executability of R Markdown Files Technical Papers Md Anaytul Islam Lakehead University, Muhammad Asaduzzman University of Windsor, Shaowei Wang Department of Computer Science, University of Manitoba, Canada | ||
14:36 12mTalk | APIstic: A Large Collection of OpenAPI Metrics Technical Papers souhaila serbout Software Institute @ USI, Cesare Pautasso Software Institute, Faculty of Informatics, USI Lugano | ||
14:48 6mTalk | Improving Automated Code Reviews: Learning From Experience Technical Papers Hong Yi Lin The University of Melbourne, Patanamon Thongtanunam University of Melbourne, Christoph Treude Singapore Management University, Wachiraphan (Ping) Charoenwet The University of Melbourne | ||
14:55 4mTalk | Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0 Data and Tool Showcase Track Tushar Sharma Dalhousie University Pre-print | ||
14:59 4mTalk | SATDAUG - A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt Data and Tool Showcase Track Edi Sutoyo Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Andrea Capiluppi University of Groningen | ||
15:03 4mTalk | Curated Email-Based Code Reviews Datasets Data and Tool Showcase Track Mingzhao Liang The University of Melbourne, Wachiraphan (Ping) Charoenwet The University of Melbourne, Patanamon Thongtanunam University of Melbourne | ||
15:07 4mTalk | TestDossier: A Dataset of Tested Values Automatically Extracted from Test Execution Data and Tool Showcase Track Andre Hora UFMG Pre-print | ||
15:11 4mTalk | Greenlight: Highlighting TensorFlow APIs Energy Footprint Data and Tool Showcase Track Saurabhsingh Rajput Dalhousie University, Maria Kechagia University College London, Federica Sarro University College London, Tushar Sharma Dalhousie University Pre-print | ||
15:15 5mTalk | When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems Registered Reports Gilberto Recupito University of Salerno, Giammaria Giordano University of Salerno, Filomena Ferrucci University of Salerno, Dario Di Nucci University of Salerno, Fabio Palomba University of Salerno | ||
15:20 5mTalk | Comparison of Static Analysis Architecture Recovery Tools for Microservice Applications Registered Reports Simon Schneider Hamburg University of Technology, Alexander Bakhtin University of Oulu, Xiaozhou Li University of Oulu, Jacopo Soldani University of Pisa, Italy, Antonio Brogi Università di Pisa, Tomas Cerny University of Arizona, Riccardo Scandariato Hamburg University of Technology, Davide Taibi University of Oulu and Tampere University | ||
