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ICSE 2022
Sun 8 - Fri 27 May 2022

Android byte-code transformations are used to optimize applications (apps) in terms of run-time performance and size. But do they affect the energy consumption during this process? If they do, then can we employ them to reduce an app’s energy consumption? Given that most existing energy optimization techniques require developers to modify their code, a byte-code level modification technique will save developers’ time and effort. In this paper, we investigate if byte-code transformations, when employed with genetic search, may reduce an app’s energy consumption. After applying our technique on four real-world apps, we find that some byte-code transformations can reduce energy consumption by up to 11%.

Mon 9 May

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

20:00 - 21:00
Search-Based Software Engineering 2NIER - New Ideas and Emerging Results / Technical Track at ICSE room 4-even hours
Chair(s): Ali Ouni ETS Montreal, University of Quebec
20:00
5m
Talk
A Black Box Technique to Reduce Energy Consumption of Android Apps
NIER - New Ideas and Emerging Results
Abdul Ali Bangash University of Alberta, Canada, Karim Ali University of Alberta, Abram Hindle University of Alberta
Pre-print Media Attached
20:05
5m
Talk
Fairness-aware Configuration of Machine Learning Libraries
Technical Track
Saeid Tizpaz-Niari University of Texas at El Paso, Ashish Kumar , Gang (Gary) Tan Pennsylvania State University, Ashutosh Trivedi University of Colorado Boulder
DOI Pre-print Media Attached
20:10
5m
Talk
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings
Technical Track
Zongjie Li The Hong Kong University of Science and Technology, Pingchuan Ma HKUST, Huaijin Wang , Shuai Wang Hong Kong University of Science and Technology, Qiyi Tang Tencent Security Keen Lab, Sen Nie Keen Security Lab, Tencent, Shi Wu Tencent Security Keen Lab
DOI Pre-print Media Attached
20:15
5m
Talk
Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search
Technical Track
Ruidong Han Xidian University, Chao Yang Xidian University, Siqi Ma The University of New South Wales Canberra, Jianfeng Ma Xidian University, Cong Sun Xidian University, Juanru Li Shanghai Jiao Tong University, Elisa Bertino Purdue University
DOI Pre-print Media Attached
20:20
5m
Talk
Search-based Diverse Sampling from Real-world Software Product Lines
Technical Track
Yi Xiang South China University of Technology, Han Huang South China University of Technology, Yuren Zhou School of Data and Computer Science, Sun Yat-sen University, Sizhe Li South China University of Technology, Chuan Luo Beihang University, Qingwei Lin Microsoft Research, Miqing Li University of Birmingham, Xiaowei Yang South China University of Technology
DOI Pre-print Media Attached
20:25
5m
Talk
Code Search based on Context-aware Code Translation
Technical Track
Weisong Sun State Key Laboratory for Novel Software Technology, Nanjing University, Chunrong Fang Nanjing University, Yuchen Chen Nanjing University, Guanhong Tao Purdue University, USA, Tingxu Han Nanjing University, Quanjun Zhang Nanjing University
Pre-print Media Attached

Wed 11 May

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

11:00 - 12:00
Search-Based Software Engineering 3Technical Track / NIER - New Ideas and Emerging Results at ICSE room 3-odd hours
Chair(s): Mohamed Wiem Mkaouer Rochester Institute of Technology
11:00
5m
Talk
A Black Box Technique to Reduce Energy Consumption of Android Apps
NIER - New Ideas and Emerging Results
Abdul Ali Bangash University of Alberta, Canada, Karim Ali University of Alberta, Abram Hindle University of Alberta
Pre-print Media Attached
11:05
5m
Talk
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences
Technical Track
Maliheh Izadi Delft University of Technology, Roberta Gismondi Delft University of Technology, Georgios Gousios Endor Labs & Delft University of Technology
DOI Pre-print
11:10
5m
Talk
Fairness-aware Configuration of Machine Learning Libraries
Technical Track
Saeid Tizpaz-Niari University of Texas at El Paso, Ashish Kumar , Gang (Gary) Tan Pennsylvania State University, Ashutosh Trivedi University of Colorado Boulder
DOI Pre-print Media Attached
11:15
5m
Talk
Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective OptimizationDistinguished Paper Award
Technical Track
Fitash Ul Haq University of Luxembourg, Donghwan Shin University of Luxembourg, Lionel Briand University of Luxembourg; University of Ottawa
Pre-print Media Attached
11:20
5m
Talk
PropR: Property-Based Automatic Program Repair
Technical Track
Matthías Páll Gissurarson Chalmers University of Technology, Sweden, Leonhard Applis Delft University of Technology, Annibale Panichella Delft University of Technology, Arie van Deursen Delft University of Technology, Netherlands, Dave Sands Chalmers
DOI Pre-print Media Attached

Information for Participants
Mon 9 May 2022 20:00 - 21:00 at ICSE room 4-even hours - Search-Based Software Engineering 2 Chair(s): Ali Ouni
Info for room ICSE room 4-even hours:

Click here to go to the room on Midspace

Wed 11 May 2022 11:00 - 12:00 at ICSE room 3-odd hours - Search-Based Software Engineering 3 Chair(s): Mohamed Wiem Mkaouer
Info for room ICSE room 3-odd hours:

Click here to go to the room on Midspace