Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks (ICSE 2022 - Journal-First Papers)

Who

NIKITA MEHROTRA, NAVDHA AGARWAL, PIYUSH GUPTA, SAKET ANAND, David Lo, Rahul Purandare

Track

ICSE 2022 Journal-First Papers

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Save

When

Tue 10 May 2022 05:05 - 05:10 at ICSE room 1-odd hours - Machine Learning with and for SE 1 Chair(s): Gemma Catolino
Thu 12 May 2022 13:00 - 13:05 at ICSE room 4-odd hours - Machine Learning with and for SE 12 Chair(s): Wei Yang

Link to Publication

https://ieeexplore.ieee.org/document/9516896/

DOI

https://doi.org/10.1109/TSE.2021.3105556

NIKITA MEHROTRA

Indraprastha Institute of Information Technology

India

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

Singapore

Rahul Purandare

IIIT-Delhi

India

Modelling Functionla Similarity in Source Code with Graph-Based Siamese Networks

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

Display full programSpecify a time band

Save

Session Program

Tue 10 May
Displayed time zone: Eastern Time (US & Canada) change

05:00 - 06:00	Machine Learning with and for SE 1NIER - New Ideas and Emerging Results / Technical Track / Journal-First Papers at ICSE room 1-odd hours Chair(s): Gemma Catolino Tilburg University & Jheronimus Academy of Data Science

05:00 5m Talk		SQAPlanner: Generating Data-Informed Software Quality Improvement Plans -- A Journal-First Presentation Journal-First Papers Dilini Rajapaksha Monash University, Kla Tantithamthavorn Monash University, Jirayus Jiarpakdee Monash University, Australia, Christoph Bergmeir Monash University, John Grundy Monash University, Wray Buntine Monash University Link to publication Pre-print Media Attached
05:05 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
05:10 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
05:15 5m Talk		Learning to Recommend Method Names with Global Context Technical Track Fang Liu Peking University, Ge Li Peking University, Zhiyi Fu Peking University, Shuai Lu Peking University, Yiyang Hao Silicon Heart Tech Co., Zhi Jin Peking University Pre-print Media Attached
05:20 5m Talk		On the Importance of Building High-quality Training Datasets for Neural Code SearchNominated for Distinguished Paper Technical Track Zhensu Sun The Hong Kong Polytechnic University, Li Li Monash University, Yan Liu Tongji University, Xiaoning Du Monash University, Australia, Li Li Monash University Pre-print Media Attached
05:25 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

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

Tue 10 May 2022 05:00 - 06:00 at ICSE room 1-odd hours - Machine Learning with and for SE 1 Chair(s): Gemma Catolino

Info for room ICSE room 1-odd 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