Using Deep Learning to Generate Complete Log Statements (ICSE 2022 - Technical Track)

Who

Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota

Track

ICSE 2022 Technical Track

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When

Wed 11 May 2022 04:10 - 04:15 at ICSE room 3-even hours - Recommender Systems 1 Chair(s): Alessio Ferrari
Wed 11 May 2022 13:25 - 13:30 at ICSE room 5-odd hours - Recommender Systems 2 Chair(s): Gabriele Bavota
Fri 27 May 2022 09:05 - 09:10 at Room 306+307 - Papers 18: Recommender Systems, tools and environments Chair(s): Christian Bird
Fri 27 May 2022 13:30 - 15:00 at Ballroom Gallery - Posters 3

Abstract

Logging is a practice widely adopted in several phases of the software lifecycle. For example, during software development log statements allow engineers to verify and debug the system by exposing fine-grained information of the running software. While the benefits of logging are undisputed, taking proper decisions about where to inject log statements, what information to log, and at which log level (e.g., error, warning) is crucial for the logging effectiveness. In this paper, we present LANCE (Log stAtemeNt reCommEnder), the first approach supporting developers in all these decisions. LANCE features a Text-To-Text-Transfer-Transformer (T5) model that has been trained on 6,894,456 Java methods. LANCE takes as input a Java method and injects in it a full log statement, including a human-comprehensible logging message and properly choosing the needed log level and the statement location. Our results show that LANCE is able to (i) properly identify the location in the code where to inject the statement in 65.94% of Java methods requiring it; (ii) selecting the proper log level in 66.24% of cases; and (iii) generate a completely correct log statement including a meaningful logging message in 15.20% of cases.

Link to Preprint

https://arxiv.org/abs/2201.04837

Antonio Mastropaolo

Università della Svizzera italiana

Luca Pascarella

Università della Svizzera italiana (USI)

Switzerland

Gabriele Bavota

Software Institute, USI Università della Svizzera italiana

Switzerland

Using Deep Learning to Generate Complete Log Statements

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Session Program

Wed 11 May
Displayed time zone: Eastern Time (US & Canada) change

04:00 - 05:00	Recommender Systems 1SEIP - Software Engineering in Practice / Technical Track / Journal-First Papers at ICSE room 3-even hours Chair(s): Alessio Ferrari CNR-ISTI

04:00 5m Talk		Predicting the Objective and Priority of Issue Reports in Software Repositories Journal-First Papers Maliheh Izadi Sharif University of Technology, Kiana Akbari Sharif University of technology, Abbas Heydarnoori Sharif University of Technology Link to publication DOI Pre-print Media Attached
04:05 5m Talk		Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction SEIP - Software Engineering in Practice Qiuyuan Chen Zhejiang University, Dezhen Kong Zhejiang University, Lingfeng Bao Zhejiang University, Chenxing Sun Tencent, Xin Xia Huawei Software Engineering Application Technology Lab, Shanping Li Zhejiang University Pre-print Media Attached
04:10 5m Talk		Using Deep Learning to Generate Complete Log Statements Technical Track Antonio Mastropaolo Università della Svizzera italiana, Luca Pascarella Università della Svizzera italiana (USI), Gabriele Bavota Software Institute, USI Università della Svizzera italiana Pre-print Media Attached
04:15 5m Talk		Modeling Review History for Reviewer Recommendation: A Hypergraph Approach Technical Track Guoping Rong Nanjing University, YiFan Zhang Nanjing University, Lanxin Yang Nanjing University, Fuli Zhang Nanjing University, Hongyu Kuang Nanjing University, He Zhang Nanjing University Pre-print Media Attached
04:20 5m Talk		ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion Technical Track Neng Zhang School of Software Engineering, Sun Yat-sen University, Chao Liu Chongqing University, Xin Xia Huawei Software Engineering Application Technology Lab, Christoph Treude University of Melbourne, Ying Zou Queen's University, Kingston, Ontario, David Lo Singapore Management University, Zibin Zheng School of Data and Computer Science, Sun Yat-sen University DOI Pre-print Media Attached
04:25 5m Talk		CLEAR: Contrastive Learning for API Recommendation Technical Track Moshi Wei York University, Nima Shiri Harzevili York University, Yuchao Huang Institute of Software Chinese Academy of Sciences, Junjie Wang Institute of Software at Chinese Academy of Sciences, Song Wang York University Pre-print Media Attached

13:00 - 14:00	Recommender Systems 2Technical Track / NIER - New Ideas and Emerging Results / SEIP - Software Engineering in Practice at ICSE room 5-odd hours Chair(s): Gabriele Bavota Software Institute, USI Università della Svizzera italiana

13:00 5m Talk		Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning NIER - New Ideas and Emerging Results Martin Weyssow DIRO, Université de Montréal, Houari Sahraoui Université de Montréal, Bang Liu DIRO & Mila, Université de Montréal Pre-print Media Attached
13:05 5m Talk		Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction SEIP - Software Engineering in Practice Qiuyuan Chen Zhejiang University, Dezhen Kong Zhejiang University, Lingfeng Bao Zhejiang University, Chenxing Sun Tencent, Xin Xia Huawei Software Engineering Application Technology Lab, Shanping Li Zhejiang University Pre-print Media Attached
13:10 5m Talk		Recommending Good First Issues in GitHub OSS Projects Technical Track Wenxin Xiao School of Computer Science, Peking University, Hao He Peking University, Weiwei Xu School of Computer Science and Technology, Soochow University, Xin Tan Beihang University, China, Jinhao Dong Peking University, Minghui Zhou Peking University, China Pre-print Media Attached
13:15 5m Talk		Modeling Review History for Reviewer Recommendation: A Hypergraph Approach Technical Track Guoping Rong Nanjing University, YiFan Zhang Nanjing University, Lanxin Yang Nanjing University, Fuli Zhang Nanjing University, Hongyu Kuang Nanjing University, He Zhang Nanjing University Pre-print Media Attached
13:20 5m Talk		ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion Technical Track Neng Zhang School of Software Engineering, Sun Yat-sen University, Chao Liu Chongqing University, Xin Xia Huawei Software Engineering Application Technology Lab, Christoph Treude University of Melbourne, Ying Zou Queen's University, Kingston, Ontario, David Lo Singapore Management University, Zibin Zheng School of Data and Computer Science, Sun Yat-sen University DOI Pre-print Media Attached
13:25 5m Talk		Using Deep Learning to Generate Complete Log Statements Technical Track Antonio Mastropaolo Università della Svizzera italiana, Luca Pascarella Università della Svizzera italiana (USI), Gabriele Bavota Software Institute, USI Università della Svizzera italiana Pre-print Media Attached

Fri 27 May
Displayed time zone: Eastern Time (US & Canada) change

09:00 - 10:30	Papers 18: Recommender Systems, tools and environmentsTechnical Track / Journal-First Papers / NIER - New Ideas and Emerging Results / SEIP - Software Engineering in Practice at Room 306+307 Chair(s): Christian Bird Microsoft Research

09:00 5m Talk		Predicting the Objective and Priority of Issue Reports in Software Repositories Journal-First Papers Maliheh Izadi Sharif University of Technology, Kiana Akbari Sharif University of technology, Abbas Heydarnoori Sharif University of Technology Link to publication DOI Pre-print Media Attached
09:05 5m Talk		Using Deep Learning to Generate Complete Log Statements Technical Track Antonio Mastropaolo Università della Svizzera italiana, Luca Pascarella Università della Svizzera italiana (USI), Gabriele Bavota Software Institute, USI Università della Svizzera italiana Pre-print Media Attached
09:10 5m Talk		Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning NIER - New Ideas and Emerging Results Martin Weyssow DIRO, Université de Montréal, Houari Sahraoui Université de Montréal, Bang Liu DIRO & Mila, Université de Montréal Pre-print Media Attached
09:15 5m Talk		"Project smells" — Experiences in Analysing the Software Quality of ML Projects with mllint SEIP - Software Engineering in Practice Bart van Oort Delft University of Technology, Luís Cruz Deflt University of Technology, Babak Loni ING Bank N.V., Arie van Deursen Delft University of Technology, Netherlands Pre-print Media Attached
09:20 5m Talk		Discovering Repetitive Code Changes in Python ML Systems Technical Track Malinda Dilhara University of Colorado Boulder, USA, Ameya Ketkar Oregon State University, USA, Nikhith Sannidhi University of Colorado Boulder, Danny Dig University of Colorado Boulder, USA DOI Pre-print Media Attached
09:25 5m Talk		FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment Technical Track Maxime Cordy University of Luxembourg, Luxembourg, Renaud Rwemalika University of Luxembourg, Adriano Franci University of Luxembourg, Mike Papadakis University of Luxembourg, Luxembourg, Mark Harman University College London Pre-print Media Attached
09:30 5m Talk		Semantic Image Fuzzing of AI Perception Systems Technical Track Trey Woodlief University of Virginia, Sebastian Elbaum University of Virginia, Kevin Sullivan University of Virginia DOI Pre-print Media Attached
09:35 5m Talk		Understanding and improving artifact sharing in software engineering research Journal-First Papers Christopher Steven Timperley Carnegie Mellon University, Lauren Herckis Carnegie Mellon University, Claire Le Goues Carnegie Mellon University, Michael Hilton Carnegie Mellon University, USA Link to publication DOI Pre-print Media Attached
09:40 5m Talk		ARCLIN: Automated API Mention Resolution for Unformatted Texts Technical Track Yintong Huo The Chinese University of Hong Kong, Yuxin Su Sun Yat-sen University, Hongming Zhang The Hong Kong University of Science and Technology, Michael Lyu The Chinese University of Hong Kong DOI Pre-print Media Attached

13:30 - 15:00	Posters 3NIER - New Ideas and Emerging Results / Technical Track / Journal-First Papers / SEIS - Software Engineering in Society / Posters / SRC - ACM Student Research Competition / SEIP - Software Engineering in Practice / DEMO - Demonstrations at Ballroom Gallery

13:30 90m Talk		Investigating User Perceptions of Conversational Agents for Software-related Exploratory Web Search NIER - New Ideas and Emerging Results Matthew Frazier University of Delaware, Shaayal Kumar University of Delaware, Kostadin Damevski Virginia Commonwealth University, Lori Pollock University of Delaware DOI Pre-print Media Attached
13:30 90m Talk		Bots for Pull Requests: The Good, the Bad, and the Promising Technical Track Mairieli Wessel Delft University of Technology, Ahmad Abdellatif Concordia University, Igor Wiese Federal University of Technology - Paraná (UTFPR), Tayana Conte Universidade Federal do Amazonas, Emad Shihab Concordia University, Marco Gerosa Northern Arizona University, USA, Igor Steinmacher Northern Arizona University Pre-print
13:30 90m Talk		Post2Vec: Learning Distributed Representations of Stack Overflow Posts Journal-First Papers Bowen Xu Singapore Management University, Thong Hoang Singapore Management University, Singapore, Abhishek Sharma Veracode, Inc., Chengran Yang Singapore Management University, Xin Xia Huawei Software Engineering Application Technology Lab, David Lo Singapore Management University Link to publication DOI Pre-print
13:30 90m Talk		Detecting Interpersonal Conflict in Issues and Code Review: Cross Pollinating Open- and Closed-Source Approaches SEIS - Software Engineering in Society Huilian Sophie Qiu Carnegie Mellon University, USA, Bogdan Vasilescu Carnegie Mellon University, USA, Christian Kästner Carnegie Mellon University, Carolyn Egelman Google, Ciera Jaspan , Emerson Murphy-Hill Google Pre-print Media Attached
13:30 90m Poster		Poster: Comprehensive Comparisons of Embedding Approaches for Cryptographic API Completion Posters Ya Xiao Virginia Tech, Salman Ahmed Virginia Polytechnic Institute and State University, Xinyang Ge Microsoft Research, Bimal Viswanath Virginia Tech, Na Meng Virginia Tech, Daphne Yao Virginia Tech
13:30 90m Talk		Semantic Image Fuzzing of AI Perception Systems Technical Track Trey Woodlief University of Virginia, Sebastian Elbaum University of Virginia, Kevin Sullivan University of Virginia DOI Pre-print Media Attached
13:30 90m		To Disengage or Not to Disengage: A Look at Contributor Disengagement in Open Source Software SRC - ACM Student Research Competition Philip Gray New College of Florida
13:30 90m Talk		Hashing It Out: A Survey of Programmers’ Cannabis Usage, Perception, and Motivation Technical Track Madeline Endres University of Michigan, Kevin Boehnke University of Michigan, Westley Weimer University of Michigan DOI Pre-print Media Attached
13:30 90m Talk		Bus Factor In Practice SEIP - Software Engineering in Practice Elgun Jabrayilzade Bilkent University, Mikhail Evtikhiev JetBrains Research, Eray Tüzün Bilkent University, Vladimir Kovalenko JetBrains Research Pre-print Media Attached
13:30 90m Talk		Garbage Collection Makes Rust Easier to Use: A Randomized Controlled Trial of the Bronze Garbage CollectorNominated for Distinguished Paper Technical Track Michael Coblenz University of Maryland at College Park, Michelle Mazurek University of Maryland, Michael Hicks University of Maryland at College Park DOI Pre-print Media Attached
13:30 90m Talk		Learning and Programming Challenges of Rust: A Mixed-Methods Study Technical Track Shuofei Zhu The Pennsylvania State University, Ziyi Zhang University of Wisconsin–Madison, Boqin Qin China Telecom Cloud Computing Corporation, Aiping Xiong The Pennsylvania State University, Linhai Song Pennsylvania State University, USA DOI Pre-print Media Attached
13:30 90m Talk		Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning NIER - New Ideas and Emerging Results Martin Weyssow DIRO, Université de Montréal, Houari Sahraoui Université de Montréal, Bang Liu DIRO & Mila, Université de Montréal Pre-print Media Attached
13:30 90m Talk		Defect Reduction Planning (using TimeLIME) Journal-First Papers Kewen Peng North Carolina State University, Tim Menzies North Carolina State University Authorizer link Pre-print Media Attached
13:30 90m Demonstration		Gamekins: Gamifying Software Testing in Jenkins DEMO - Demonstrations Philipp Straubinger University of Passau, Gordon Fraser University of Passau DOI Pre-print Media Attached
13:30 90m Talk		How Do I Refactor This? An Empirical Study on Refactoring Trends and Topics in Stack Overflow Journal-First Papers Anthony Peruma Rochester Institute of Technology, Steven Simmons Rochester Institute of Technology, Eman Abdullah AlOmar Stevens Institute of Technology, Christian D. Newman Rochester Institute of Technology, Mohamed Wiem Mkaouer Rochester Institute of Technology, Ali Ouni ETS Montreal, University of Quebec Link to publication DOI Pre-print Media Attached
13:30 90m Talk		Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection Journal-First Papers Nadia Daoudi SnT, University of Luxembourg, Kevin Allix University of Luxembourg, Tegawendé F. Bissyandé SnT, University of Luxembourg, Jacques Klein University of Luxembourg Link to publication Pre-print Media Attached
13:30 90m		Mu2: Using Mutation Analysis to Guide Mutation-Based Fuzzing SRC - ACM Student Research Competition Isabella Laybourn Carnegie Mellon Silicon Valley
13:30 90m Talk		Emotions and Perceived Productivity of Software Developers at the Workplace Journal-First Papers Daniela Girardi University of Bari, Filippo Lanubile University of Bari, Nicole Novielli University of Bari, Alexander Serebrenik Eindhoven University of Technology Link to publication DOI Pre-print Media Attached
13:30 90m Poster		CRustS: A Transpiler from Unsafe C to Safer Rust Posters Michael Ling Huawei Technologies Canada, Yijun Yu The Open University, UK, Haitao Wu Huawei Technologies Canada, Yuan Wang Huawei Sweden Research Center, James R. Cordy Queen's University, Ahmed E. Hassan Queen's University
13:30 90m Talk		Multilingual training for Software Engineering Technical Track Toufique Ahmed University of California at Davis, Prem Devanbu Department of Computer Science, University of California, Davis DOI Pre-print Media Attached
13:30 90m Talk		An Empirical Investigation on the Challenges Faced by Women in the Software Industry: A Case StudySEIS-track Award SEIS - Software Engineering in Society Bianca Trinkenreich Northern of Arizona Univeristy, Ricardo Britto Ericsson / Blekinge Institute of Technology, Marco Gerosa Northern Arizona University, USA, Igor Steinmacher Northern Arizona University Pre-print Media Attached
13:30 90m Talk		Using Deep Learning to Generate Complete Log Statements Technical Track Antonio Mastropaolo Università della Svizzera italiana, Luca Pascarella Università della Svizzera italiana (USI), Gabriele Bavota Software Institute, USI Università della Svizzera italiana Pre-print Media Attached
13:30 90m 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
13:30 90m Talk		Discovering Repetitive Code Changes in Python ML Systems Technical Track Malinda Dilhara University of Colorado Boulder, USA, Ameya Ketkar Oregon State University, USA, Nikhith Sannidhi University of Colorado Boulder, Danny Dig University of Colorado Boulder, USA DOI Pre-print Media Attached
13:30 90m Talk		Towards Mining OSS Skills from GitHub Activity NIER - New Ideas and Emerging Results Jenny T. Liang University of Washington, Thomas Zimmermann Microsoft Research, Denae Ford Microsoft Research DOI Pre-print Media Attached
13:30 90m 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
13:30 90m Talk		"Project smells" — Experiences in Analysing the Software Quality of ML Projects with mllint SEIP - Software Engineering in Practice Bart van Oort Delft University of Technology, Luís Cruz Deflt University of Technology, Babak Loni ING Bank N.V., Arie van Deursen Delft University of Technology, Netherlands Pre-print Media Attached
13:30 90m Poster		Improving Responsiveness of Android Activity Navigation via Genetic Improvement Posters James Callan UCL, Justyna Petke University College London

Information for Participants

Wed 11 May 2022 04:00 - 05:00 at ICSE room 3-even hours - Recommender Systems 1 Chair(s): Alessio Ferrari

Info for room ICSE room 3-even hours:

Click here to go to the room on Midspace

Wed 11 May 2022 13:00 - 14:00 at ICSE room 5-odd hours - Recommender Systems 2 Chair(s): Gabriele Bavota

Info for room ICSE room 5-odd hours:

Click here to go to the room on Midspace