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ICSE 2022
Sun 8 - Fri 27 May 2022
Mon 9 May 2022 20:00 - 20:05 at ICSE room 1-even hours - Machine Learning with and for SE 4 Chair(s): Gias Uddin
Thu 12 May 2022 13:05 - 13:10 at ICSE room 4-odd hours - Machine Learning with and for SE 12 Chair(s): Wei Yang

Numerous methods can build predictive models from software data. However, what methods and conclusions should we endorse as we move from analytics in-the-small (dealing with a handful of projects) to analytics in-the-large (dealing with hundreds of projects)?

To answer this question, we recheck prior small-scale results (about process versus product metrics for defect prediction and the granularity of metrics) using 722,471 commits from 700 Github projects. We find that some analytics in-the-small conclusions still hold when scaling up to analytics in-the-large. For example, like prior work, we see that process metrics are better predictors for defects than product metrics (best process/product-based learners respectively achieve recalls of 98%/44% and AUCs of 95%/54%, median values).

That said, we warn that it is unwise to trust metric importance results from analytics in-the-small studies since those change dramatically when moving to analytics in-the-large. Also, when reasoning in-the-large about hundreds of projects, it is better to use predictions from multiple models (since single model predictions can become confused and exhibit a high variance).

Revisiting Process versus Product Metrics: a Large Scale Analysis (Revisiting Process versus Product Metrics- a Large Scale Analysis.pdf)2.3MiB

Mon 9 May

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

20:00 - 21:00
Machine Learning with and for SE 4Journal-First Papers / Technical Track / SEIP - Software Engineering in Practice at ICSE room 1-even hours
Chair(s): Gias Uddin University of Calgary, Canada
20:00
5m
Talk
Revisiting Process versus Product Metrics: a Large Scale Analysi
Journal-First Papers
Suvodeep Majumder North Carolina State University, Pranav Mody North Carolina State University, Tim Menzies North Carolina State University
Link to publication DOI Pre-print Media Attached File Attached
20:05
5m
Talk
Learning to Recognize Actionable Static Code Warnings (is Intrinsically Easy)
Journal-First Papers
Xueqi Yang NCSU, Jianfeng Chen North Carolina State University, Rahul Yedida North Carolina State University, Zhe Yu , Tim Menzies North Carolina State University
Link to publication DOI Pre-print Media Attached
20:10
5m
Talk
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps
SEIP - Software Engineering in Practice
Amrita Saha Salesforce Research Asia, Steven C.H. Hoi Salesforce Research Asia
Pre-print Media Attached
20:15
5m
Talk
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Technical Track
Xuanqi Gao Xi'an Jiaotong University, Juan Zhai Rutgers University, Shiqing Ma Rutgers University, Chao Shen Xi'an Jiaotong University, Yufei Chen Xi'an Jiaotong University, Qian Wang Wuhan University
DOI Pre-print Media Attached
20:20
5m
Talk
EREBA: Black-box Energy Testing of Adaptive Neural Networks
Technical Track
Mirazul Haque UT Dallas, Yaswanth Yadlapalli University of Texas at Dallas, Wei Yang University of Texas at Dallas, Cong Liu University of Texas at Dallas, USA
Pre-print Media Attached
20:25
5m
Talk
Training Data Debugging for the Fairness of Machine Learning Software
Technical Track
Yanhui Li Department of Computer Science and Technology, Nanjing University, Linghan Meng Nanjing University, Lin Chen Department of Computer Science and Technology, Nanjing University, Li Yu Nanjing University, Di Wu Momenta, Yuming Zhou Nanjing University, Baowen Xu Nanjing University
Pre-print Media Attached

Thu 12 May

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

13:00 - 14:00
Machine Learning with and for SE 12Journal-First Papers / Technical Track / NIER - New Ideas and Emerging Results at ICSE room 4-odd hours
Chair(s): Wei Yang University of Texas at Dallas
13:00
5m
Talk
Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks
Journal-First Papers
NIKITA MEHROTRA Indraprastha Institute of Information Technology, NAVDHA AGARWAL Indraprastha Institute of Information Technology, Delhi, PIYUSH GUPTA Indraprastha Institute of Information Technology, Delhi, SAKET ANAND Indraprastha Institute of Information Technology, Delhi, David Lo Singapore Management University, Rahul Purandare IIIT-Delhi
Link to publication DOI Media Attached
13:05
5m
Talk
Revisiting Process versus Product Metrics: a Large Scale Analysi
Journal-First Papers
Suvodeep Majumder North Carolina State University, Pranav Mody North Carolina State University, Tim Menzies North Carolina State University
Link to publication DOI Pre-print Media Attached File Attached
13:10
5m
Talk
Learning to Recognize Actionable Static Code Warnings (is Intrinsically Easy)
Journal-First Papers
Xueqi Yang NCSU, Jianfeng Chen North Carolina State University, Rahul Yedida North Carolina State University, Zhe Yu , Tim Menzies North Carolina State University
Link to publication DOI Pre-print Media Attached
13:15
5m
Talk
Improving the Learnability of Machine Learning APIs by Semi-Automated API Wrapping
NIER - New Ideas and Emerging Results
Lars Reimann University of Bonn, Günter Kniesel-Wünsche University of Bonn
DOI Pre-print Media Attached
13:20
5m
Talk
Improving Machine Translation Systems via Isotopic Replacement
Technical Track
Zeyu Sun Peking University, Jie M. Zhang King's College London, Yingfei Xiong Peking University, Mark Harman University College London, Mike Papadakis University of Luxembourg, Luxembourg, Lu Zhang Peking University
Pre-print Media Attached
13:25
5m
Talk
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and ProcessDistinguished Paper Award
Technical Track
Nadia Nahar Carnegie Mellon University, Shurui Zhou University of Toronto, Grace Lewis Carnegie Mellon Software Engineering Institute, Christian Kästner Carnegie Mellon University
Pre-print Media Attached

Information for Participants
Mon 9 May 2022 20:00 - 21:00 at ICSE room 1-even hours - Machine Learning with and for SE 4 Chair(s): Gias Uddin
Info for room ICSE room 1-even hours:

Click here to go to the room on Midspace

Thu 12 May 2022 13:00 - 14:00 at ICSE room 4-odd hours - Machine Learning with and for SE 12 Chair(s): Wei Yang
Info for room ICSE room 4-odd hours:

Click here to go to the room on Midspace