Fri 19 Jul 2024 14:36 - 14:54 at Pitomba - Software Maintenance and Comprehension 4 Chair(s): Timo Kehrer

Decompilation is a process of converting a low-level machine code snippet back into a high-level programming language such as C. It serves as a basis to aid reverse engineers in comprehending the contextual semantics of the code. In this respect, commercial decompilers like Hex-Rays have made significant strides in improving the readability of decompiled code over time. While previous work has proposed the metrics for assessing the readability of source code, including identifiers, variable names, function names, and comments, those metrics are unsuitable for measuring the readability of decompiled code primarily due to i) the lack of rich semantic information in the source and ii) the presence of erroneous syntax or inappropriate expressions. In response, to the best of our knowledge, this work first introduces R2I, the Relative Readability Index, a specialized metric tailored to evaluate decompiled code in a relative context quantitatively. In essence, R2I can be computed by i) taking code snippets across different decompilers as input and ii) extracting pre-defined features from an abstract syntax tree. For the robustness of R2I, we thoroughly investigate the enhancement efforts made by existing decompilers and academic research to promote code readability, identifying 31 features to yield a reliable index collectively. Besides, we conducted a user survey to capture subjective factors such as one’s coding styles and preferences. Our empirical experiments demonstrate that R2I is a versatile metric capable of representing the relative quality of decompiled code (e.g., obfuscation, decompiler updates) and being well aligned with human perception in our survey.

Fri 19 Jul

Displayed time zone: Brasilia, Distrito Federal, Brazil change

14:00 - 15:30
Software Maintenance and Comprehension 4Research Papers / Demonstrations / Ideas, Visions and Reflections / Industry Papers at Pitomba
Chair(s): Timo Kehrer University of Bern
14:00
18m
Talk
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
Research Papers
Yifan Zhang Vanderbilt University, Jiliang Li Vanderbilt University, Zachary Karas Vanderbilt University, Aakash Bansal University of Notre Dame, Toby Jia-Jun Li University of Notre Dame, Collin McMillan University of Notre Dame, Kevin Leach Vanderbilt University, Yu Huang Vanderbilt University
14:18
18m
Talk
Predicting Code Comprehension: A Novel Approach to Align Human Gaze with Code Using Deep Neural Networks
Research Papers
Tarek Alakmeh University of Zurich, David Reich University of Potsdam, Lena Jäger University of Zurich, Thomas Fritz University of Zurich
DOI Pre-print
14:36
18m
Talk
R2I: A Relative Readability Metric for Decompiled Code
Research Papers
Haeun Eom Sungkyunkwan University, Dohee Kim Sungkyunkwan University, Sori Lim Sungkyunkwan University, Hyungjoon Koo Sungkyunkwan University, Sungjae Hwang Sungkyunkwan University
14:54
9m
Talk
CognitIDE: An IDE Plugin for Mapping Physiological Measurements to Source Code
Demonstrations
Fabian Stolp Hasso Plattner Institute, University of Potsdam, Malte Stellmacher Hasso Plattner Institute, University of Potsdam, Bert Arnrich Hasso Plattner Institute, University of Potsdam
Link to publication DOI Media Attached
15:03
9m
Talk
The lion, the ecologist and the plankton: a classification of species in multi-bot ecosystems
Ideas, Visions and Reflections
Dimitrios Platis Neat, Linda Erlenhov Chalmers | University of Gothenburg, Francisco Gomes de Oliveira Neto Chalmers | University of Gothenburg
Link to publication
15:12
18m
Talk
S.C.A.L.E: a CO2-aware Scheduler for OpenShift at ING
Industry Papers
Jurriaan Den Toonder TU Delft & ING, Paul Braakman ING, Thomas Durieux TU Delft