MSR 2024
Mon 15 - Tue 16 April 2024 Lisbon, Portugal
co-located with ICSE 2024
Mon 15 Apr 2024 15:11 - 15:15 at Grande Auditório - Software Quality Chair(s): Gopi Krishnan Rajbahadur

Deep learning (DL) models are being widely deployed in real-world applications, but their training remains computationally intensive and energy-hungry. While prior work has examined model-level energy usage, the energy footprint of the DL frameworks, such as TensorFlow and PyTorch, used to construct these models, have not been thoroughly studied. We present Greenlight, a large-scale dataset profiling the energy consumption of over 1284 TensorFlow API calls. We utilize a command line tool called CodeGreen that we developed to create the dataset. CodeGreen is based on our framework FECoM that employs static analysis and code instrumentation to isolate invocations of TensorFlow operations and measure their energy consumption precisely. By executing API calls on representative workloads and measuring the consumed energy, we construct detailed energy profiles for the APIs. Several factors, such as input data size and the type of operation, significantly impact energy footprints. Greenlight provides a ground-truth dataset capturing energy consumption along with relevant factors such as input parameter size to take the first step towards optimization of energy-intensive TensorFlow code. The dataset opens up new research directions, such as predicting API energy consumption, automated optimization, modeling efficiency trade-offs, and empirical studies into energy-aware DL system design.

Mon 15 Apr

Displayed 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
12m
Talk
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
12m
Talk
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
12m
Talk
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
12m
Talk
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
6m
Talk
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
4m
Talk
Multi-faceted Code Smell Detection at Scale using DesigniteJava 2.0
Data and Tool Showcase Track
Tushar Sharma Dalhousie University
Pre-print
14:59
4m
Talk
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
4m
Talk
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
4m
Talk
TestDossier: A Dataset of Tested Values Automatically Extracted from Test Execution
Data and Tool Showcase Track
Pre-print
15:11
4m
Talk
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
5m
Talk
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
5m
Talk
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