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ASE 2021
Mon 15 - Fri 19 November 2021 Australia

Call for Papers

Goal and Scopes

The overarching goal of the ASE Late Breaking Ideas track is to provide a highly interactive and collaborative venue for ASE researchers of all backgrounds to conduct impactful, meaningful discussions about cutting edge or emerging work conducted related to automated software engineering.

The scopes and the topics of the LBR track are the same as the topics of the ASE 2021 research track (https://conf.researchr.org/track/ase-2021/ase-2021-papers).

A submission is expected to address a non-trivial problem by presenting a novel and sound method. To attract recent work that is still in progress, the submission does not require preliminary results or a detailed evaluation. Submissions which challenge the status-quo, have controversial ideas, or have late-breaking advances are encouraged. In addition, the LBR track provides a platform to seek comments and suggestions on ongoing work. We hope that the feedback from the LBR track will help the research to mature to submissions at top software engineering conferences in the future. Please note that merely summarizing an existing paper does not qualify for this track.

Accepted LBR papers will be presented as a part of an interactive poster session, where presenters and participants are encouraged to have a lively discussion about the work.

Evaluation Criteria

Each submission will be reviewed and evaluated in terms of the following quality criteria:

  • The importance and significance of the work and the problem.
  • The novelty and soundness of method but not require preliminary results or a detailed evaluation
  • How will this work be extended?
  • What is the Impact to the broader ASE community?

Submission

Papers must be submitted electronically through the ASE 2021 (LBR) HotCRP submission site.

Format: All submissions must be in PDF format and conform, at time of submission, to the IEEE Conference Proceedings Formatting Guidelines (title in 24pt font and full text in 10pt type, LaTeX users must use \documentclass[10pt,conference]{IEEEtran} without including the compsoc or compsocconf option). A submission must not exceed 2 pages, including all text, appendices, figures, and must have at most 1 page of references. The review option adds line numbers, thereby allowing referees to refer to specific lines in their comments.

Originality: By submitting to the ASE LBR Track, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism (https://www.acm.org/publications/policies/plagiarism) and the IEEE Plagiarism FAQ (https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html). In particular, papers submitted to ASE LBR 2021 must not have been published elsewhere and must not be under review or submitted for review elsewhere whilst under consideration for ASE LBR 2021.

Contravention of this concurrent submission policy will be deemed a serious breach of scientific ethics, and appropriate action will be taken in all such cases. To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences with overlapping review periods and (2) use external plagiarism detection software, under contract to the ACM or IEEE, to detect violations of these policies.

Double-Blind Submission Guidelines

The ASE LBR 2021 adopts a double-blind review process. No submitted paper may reveal its authors’ identities. The authors must make every effort to honour the double-blind review process; reviewers will be asked to honour the double-blind review process as much as possible. Any author having further questions on double-blind reviewing is encouraged to contact the track’s program co-chairs by email. Any submission that does not comply with the double-blind review process will be desk-rejected. Further advice, guidance and explanation about the double-blind review process can be found in the Q&A page (https://conf.researchr.org/track/ase-2021/ase-2021-papers#FAQs-on-Double-Blind).

Proceedings

Accepted LBR paper authors have the option to include their paper in the official ASE 2021 proceedings. All authors of accepted LBR papers are encouraged to upload their papers on ArXiv.org. The ASE 2021 website will link to these papers and/or posters. For those not included in the official ASE proceedings, the copyright is retained by the authors.

Accepted Papers

After acceptance, the list of paper authors can not be changed under any circumstances and the list of authors on camera-ready papers must be identical to those on submitted papers. After acceptance paper titles can not be changed except by permission of the Track Chairs, and only then when referees recommended a change for clarity or accuracy with paper content.

Dates
Tracks

This program is tentative and subject to change.

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Mon 15 Nov

Displayed time zone: Hobart change

08:00 - 08:55
DS Opening and KeynoteDoctoral Symposium at Wombat
08:00
55m
Keynote
DS Opening and Keynote
Doctoral Symposium
A: Barbora Buhnova Masaryk University, A: Li Li Monash University, K: Marsha Chechik University of Toronto
09:05 - 10:20
DS Session 1Doctoral Symposium at Wombat
09:05
15m
Talk
A Prediction Model for Software Requirements Change Impact
Doctoral Symposium
Kareshna Zamani PhD candidate
09:20
15m
Talk
DSInfoSearch: Supporting experimentation process of data scientists
Doctoral Symposium
Shangeetha Sivasothy Applied Artificial Intelligence Institute, Deakin University
09:35
15m
Talk
Towards the generation of machine learning defect reports
Doctoral Symposium
Tuan Dung Lai Deakin University
09:50
15m
Talk
Leveraging Code Clones and Natural Language Processing for Log Statement Prediction
Doctoral Symposium
Sina Gholamian University of Waterloo
Pre-print
10:05
15m
Other
Discussion with presenters
Doctoral Symposium

10:30 - 12:00
DS Session 2Doctoral Symposium at Wombat
10:30
15m
Talk
An Automated Pipeline for Privacy Leak Analysis of Android Applications
Doctoral Symposium
Yifan Zhou The University of Adelaide
10:45
15m
Talk
Training Automated Test Oracles to Identify Semantic Bugs
Doctoral Symposium
Charaka Geethal Monash University
11:00
15m
Talk
Binary Code Similarity Detection
Doctoral Symposium
Zian Liu Swinburne University of Technology; Data61, CSIRO, Chao Chen James Cook University, Jun Zhang Digital Research & Innovation Capability Platform, Swinburne University of Technology, Dongxi Liu Data61, CSIRO, Muhammad Ejaz Ahmed Data61, CSIRO, Yang Xiang Digital Research & Innovation Capability Platform, Swinburne University of Technology
11:15
15m
Talk
API Compatibility Issue Detection, Testing and Analysis for Android Apps
Doctoral Symposium
Tarek Mahmud Texas State University
11:30
15m
Other
Discussion with presenters
Doctoral Symposium

11:45
15m
Talk
Wrap-up first half DS
Doctoral Symposium
Li Li Monash University
18:30 - 20:00
DS Session 3Doctoral Symposium at Wombat
18:30
15m
Talk
Opening 2nd part DS
Doctoral Symposium
Barbora Buhnova Masaryk University
18:45
15m
Talk
Effectively Analyzing Evolving Software with Differential Facts
Doctoral Symposium
Xiuheng Wu Nanyang Technological University
19:00
15m
Talk
Automated Approach for System-level Testing of Unmanned Aerial Systems
Doctoral Symposium
Hassan Sartaj National University of Computer and Emerging Sciences, Islamabad, Pakistan
19:15
15m
Talk
Cross-Lingual Transfer Learning Framework for Program Analysis
Doctoral Symposium
Zhiming Li Nanyang Technological University, Singapore
19:30
15m
Talk
Fuzzing Methods Recommendation Based on Feature Vectors
Doctoral Symposium
Chi Zhang Jiangsu University
19:45
15m
Other
Discussion with presenters
Doctoral Symposium

20:15 - 22:00
DS Session 4Doctoral Symposium at Wombat
20:15
15m
Talk
Gas Estimation and Optimization for Smart Contracts on Ethereum
Doctoral Symposium
Chunmiao Li National Institute of Informatics
20:30
15m
Talk
Quality analysis of mobile applications with special focus on security aspects
Doctoral Symposium
Kristiina Rahkema University of Tartu
20:45
15m
Other
Discussion with presenters
Doctoral Symposium

21:00
15m
Talk
Semi-automated Cross-Component Issue Management and Impact Analysis
Doctoral Symposium
Sandro Speth Institute of Software Engineering, University of Stuttgart
File Attached
21:15
15m
Talk
Tackling Flaky Tests: Understanding the Problem and Providing Practical Solutions
Doctoral Symposium
Martin Gruber BMW Group
21:30
15m
Talk
How can Subgroup Discovery help AIOps?
Doctoral Symposium
Youcef REMIL INSA Lyon, INFOLOGIC, Anes Bendimerad Infologic, Mehdi Kaytoue INFOLOGIC, Jean-François Boulicaut INSA Lyon
21:45
15m
Talk
Closing of DS
Doctoral Symposium
Li Li Monash University, Barbora Buhnova Masaryk University

Wed 17 Nov

Displayed time zone: Hobart change

20:00 - 21:00
LBR + DS Poster (1) (Wed 07:00 - 10:00)Doctoral Symposium / Late Breaking Results at Kangaroo
20:00
2m
Talk
Time-Aware Coverage Criteria for Testing of AI-Enabled Hybrid Control Systems
Late Breaking Results
Zhenya Zhang Kyushu University, Deyun Lyu Kyushu university, Paolo Arcaini National Institute of Informatics , Lei Ma University of Alberta, Ichiro Hasuo National Institute of Informatics, Japan, Jianjun Zhao Kyushu University
20:02
2m
Talk
Metamorphic Testing on Multi-module UAV Systems
Late Breaking Results
Rui Li Swinburne University of Technology, Huai Liu Swinburne University of Technology, Guannan Lou Macquarie University, Xi Zheng Macquarie University, Xiao Liu School of Information Technology, Deakin University, Tsong Yueh Chen Swinburne University of Technology
20:04
2m
Talk
Quality analysis of mobile applications with special focus on security aspects
Doctoral Symposium
Kristiina Rahkema University of Tartu
20:06
2m
Talk
Semi-automated Cross-Component Issue Management and Impact Analysis
Doctoral Symposium
Sandro Speth Institute of Software Engineering, University of Stuttgart
File Attached
20:08
2m
Talk
Cross-Lingual Transfer Learning Framework for Program Analysis
Doctoral Symposium
Zhiming Li Nanyang Technological University, Singapore
20:10
2m
Talk
Decoupling Server and Client Code Through Cloud-Native Domain-Specific Functions
Late Breaking Results
José Miguel Pérez-Álvarez NAVER LABS Europe, Adrian Mos NAVER LABS Europe, Benjamin V. Hanrahan Pennsylvania State University, Iyadunni J. Adenuga Pennsylvania State University
20:12
2m
Talk
Tackling Flaky Tests: Understanding the Problem and Providing Practical Solutions
Doctoral Symposium
Martin Gruber BMW Group
20:14
2m
Talk
Effectively Analyzing Evolving Software with Differential Facts
Doctoral Symposium
Xiuheng Wu Nanyang Technological University
20:16
2m
Talk
Automatically Annotating Sentences for Task-specific Bug Report Summarization
Late Breaking Results
Akalanka Galappaththi University of Alberta, John Anvik University of Lethbridge, Rafat Bin Islam University of Lethbridge
20:18
2m
Talk
Genetic Optimisation of C++ Applications
Late Breaking Results
Rafail Giavrimis Turing Intelligence Technology, Alexis Butler Turing Intelligence Technology, Constantin Cezar Petrescu University of Surrey, Michail Basios Turing Intelligence Technology, Santanu Kumar Dash University of Surrey, UK
20:20
2m
Talk
Revisiting Textual Feature of Bug-Triage Approach
Late Breaking Results
Zexuan Li Shanghai Jiao Tong University, Hao Zhong Shanghai Jiao Tong University
20:22
2m
Talk
Training Automated Test Oracles to Identify Semantic Bugs
Doctoral Symposium
Charaka Geethal Monash University
20:24
2m
Talk
Automated Approach for System-level Testing of Unmanned Aerial Systems
Doctoral Symposium
Hassan Sartaj National University of Computer and Emerging Sciences, Islamabad, Pakistan
20:26
2m
Talk
How can Subgroup Discovery help AIOps?
Doctoral Symposium
Youcef REMIL INSA Lyon, INFOLOGIC, Anes Bendimerad Infologic, Mehdi Kaytoue INFOLOGIC, Jean-François Boulicaut INSA Lyon
20:28
2m
Talk
Gas Estimation and Optimization for Smart Contracts on Ethereum
Doctoral Symposium
Chunmiao Li National Institute of Informatics
20:30
2m
Talk
Fuzzing Methods Recommendation Based on Feature Vectors
Doctoral Symposium
Chi Zhang Jiangsu University

Thu 18 Nov

Displayed time zone: Hobart change

10:00 - 11:00
LBR + DS Poster (2) (Thursday 21:00 - 00:00)Late Breaking Results / Doctoral Symposium at Kangaroo
10:00
2m
Talk
API Compatibility Issue Detection, Testing and Analysis for Android Apps
Doctoral Symposium
Tarek Mahmud Texas State University
10:02
2m
Talk
Towards the generation of machine learning defect reports
Doctoral Symposium
Tuan Dung Lai Deakin University
10:04
2m
Talk
DSInfoSearch: Supporting experimentation process of data scientists
Doctoral Symposium
Shangeetha Sivasothy Applied Artificial Intelligence Institute, Deakin University
10:06
2m
Talk
A First Look at the Effect of Deep Learning inCoverage-guided Fuzzing
Late Breaking Results
Siqi Li Tianjin University, Yun Lin National University of Singapore, Xiaofei Xie Kyushu University, Yuekang Li Nanyang Technological University, Li Xiaohong TianJin University, Weimin Ge Tianjin University, Yang Liu Nanyang Technological University, Jin Song Dong National University of Singapore
10:08
2m
Talk
Counterexample Guided Inductive Repair of Reactive Contracts
Late Breaking Results
Soha Hussein University of Minnesota, USA / Ain Shams University, Egypt, Vaibhav Sharma University of Minnesota, USA, Stephen McCamant University of Minnesota, USA, Sanjai Rayadurgam University of Minnesota, Mats Heimdahl University of Minnesota
10:10
2m
Talk
AST-Transformer: Encoding Abstract Syntax TreesEfficiently for Code Summarization
Late Breaking Results
Ze Tang Software Institute, Nanjing University, Chuanyi Li Software Institute, Nanjing University, Jidong Ge , Xiaoyu Shen Alexa AI, Amazon, Zheling Zhu Software Institute, Nanjing University, Bin Luo Software Institute, Nanjing University
10:12
2m
Talk
An Automated Pipeline for Privacy Leak Analysis of Android Applications
Doctoral Symposium
Yifan Zhou The University of Adelaide
10:14
2m
Talk
Detecting Adversarial Samples with Graph-Guided Testing
Late Breaking Results
Zuohui Chen Zhejiang University of Technology, Renxuan Wang Zhejiang University of Technology, Jingyang Xiang Zhejiang University of Technology, Yue Yu College of Computer, National University of Defense Technology, Changsha 410073, China, Xin Xia Huawei Software Engineering Application Technology Lab, Shouling Ji Zhejiang University, Qi Xuan Zhejiang University of Technology, Xiaoniu Yang Zhejiang University of Technology
10:16
2m
Talk
Using Static Analysis to Address Microservice Architecture Reconstruction
Late Breaking Results
Vincent Bushong Baylor University, Dipta Das Baylor University, Abdullah Al Maruf Baylor University, Tomas Cerny Baylor University
10:18
2m
Talk
Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms
Late Breaking Results
Elizabeth Forest James Cook University, Anne Swinbourne James Cook University, Trina Myers Queensland University of Technology, Mitchell Scovell James Cook University
Link to publication
10:20
2m
Talk
Business Process Extraction Using Static Analysis
Late Breaking Results
Rofiqul Islam Baylor University, Tomas Cerny Baylor University
10:22
2m
Talk
Binary Code Similarity Detection
Doctoral Symposium
Zian Liu Swinburne University of Technology; Data61, CSIRO, Chao Chen James Cook University, Jun Zhang Digital Research & Innovation Capability Platform, Swinburne University of Technology, Dongxi Liu Data61, CSIRO, Muhammad Ejaz Ahmed Data61, CSIRO, Yang Xiang Digital Research & Innovation Capability Platform, Swinburne University of Technology
10:24
2m
Talk
Improving Mutation-Based Fault Localization with Plausible-code Generating Mutation Operators
Late Breaking Results
Juyoung Jeon Handong Global University, Shin Hong Handong Global University
10:26
2m
Talk
Using Version Control and Issue Tickets to detect Code Debt and Economical Cost
Late Breaking Results
Abdullah Al Maruf Baylor University, Noah Lambaria Baylor University, Amr El-Sayed Mohamed Abdelfattah Baylor University, Tomas Cerny Baylor University
10:28
2m
Talk
Human-in-the-Loop XAI-enabled Vulnerability Detection, Investigation, and Mitigation
Late Breaking Results
Tien N. Nguyen University of Texas at Dallas, Kim-Kwang Raymond Choo University of Texas at San Antonio
10:30
2m
Talk
A Prediction Model for Software Requirements Change Impact
Doctoral Symposium
Kareshna Zamani PhD candidate
10:32
2m
Talk
Leveraging Code Clones and Natural Language Processing for Log Statement Prediction
Doctoral Symposium
Sina Gholamian University of Waterloo
Pre-print

Accepted Papers

Title
A First Look at the Effect of Deep Learning inCoverage-guided Fuzzing
Late Breaking Results
AST-Transformer: Encoding Abstract Syntax TreesEfficiently for Code Summarization
Late Breaking Results
Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms
Late Breaking Results
Link to publication
Automatically Annotating Sentences for Task-specific Bug Report Summarization
Late Breaking Results
Business Process Extraction Using Static Analysis
Late Breaking Results
Counterexample Guided Inductive Repair of Reactive Contracts
Late Breaking Results
Decoupling Server and Client Code Through Cloud-Native Domain-Specific Functions
Late Breaking Results
Detecting Adversarial Samples with Graph-Guided Testing
Late Breaking Results
Genetic Optimisation of C++ Applications
Late Breaking Results
Human-in-the-Loop XAI-enabled Vulnerability Detection, Investigation, and Mitigation
Late Breaking Results
Improving Mutation-Based Fault Localization with Plausible-code Generating Mutation Operators
Late Breaking Results
Metamorphic Testing on Multi-module UAV Systems
Late Breaking Results
Revisiting Textual Feature of Bug-Triage Approach
Late Breaking Results
Time-Aware Coverage Criteria for Testing of AI-Enabled Hybrid Control Systems
Late Breaking Results
Using Static Analysis to Address Microservice Architecture Reconstruction
Late Breaking Results
Using Version Control and Issue Tickets to detect Code Debt and Economical Cost
Late Breaking Results