Please note, due to COVID-19, the Symposium will be held “virtual” and hence PhD students from all over the world can participate without travelling to Melbourne
Call for Papers
The goal of the ASE 2020 Doctoral Symposium is to provide a supportive and stimulating forum in which the Ph.D. students have an opportunity to present and discuss their research with other researchers in the ASE community. The symposium aims at providing students useful guidance and feedback on their research and to facilitate networking within the scientific community by interacting with established researchers and with their peers at a similar stage in their careers.
The technical scope of the symposium is that of ASE. Students should consider participating in the Doctoral Symposium after they have settled on a dissertation topic with some initial research results. The ASE 2020 Doctoral Symposium is open to Ph.D. students at any stage of their research, whereby students at the initial stage (e.g., first or second year) will be able to challenge their ideas and current research directions, while students at a later stage (e.g., third or fourth year) will be able to present their preliminary results and get advice for improvement and for better exposition of their contributions and conclusions. As explained below, the symposium two paper categories for early and late-stage students.
Evaluation
The Doctoral Symposium Committee will select participants using the following criteria:
- Relevance of the research plan to the Automated Software Engineering
- Novelty, technical soundness and potential implications of the proposed research
- For later stage proposals, soundness and appropriateness of its evaluation (plan)
Students should not infer that a list of prior publications is in any way expected or required; we welcome submissions from students for whom this will be their first formal submission as well as those who have previously published.
Submission
To apply as a student participant in the ASE 2020 Doctoral Symposium, one should prepare a submission package consisting of two parts, both of which must be submitted by the submission deadline (see instructions below).
All submissions must be in PDF format and conform, at the time of submission, to the ACM proceedings format, available at https://www.acm.org/publications/proceedings-template for both LaTeX and Word users. LaTeX users must use the provided acmart.cls and ACM-Reference-Format.bst without modification, enable the conference format in the preamble of the document (i.e., \documentclass[sigconf,review]{acmart})
, and use the ACM reference format for the bibliography (i.e., \bibliographystyle{ACM-Reference-Format})
. This is the same format as the research track.
Submission must be submitted electronically through the ASE 2020 HotCRP submission site.
The doctoral symposium foresees two types of submissions:
- Early-stage PhD students (2 pages of text+one page of references only)
- Late-stage PhD students (4 pages+one pages of references only)
Important note: differently from the research track, Doctoral Symposium papers are NOT double-blind, and therefore must contain the author’s name.
Part 1: Research Abstract
The research abstract must conform to the ASE 2020 formatting and submission instructions and should cover all of the following:
- The research problem statement, with proper motivations
- A brief discussion on the state-of-the-art
- An outline of the proposed approach or solution
- The expected contributions of the dissertation research
- Progress that has been made so far in solving the stated problem
- The methods that are or will be used to carry out the research
- A plan for evaluating the work and presenting credible evidence to the research community
- (For later stage students) a very brief outline of the evaluation results
- References to relevant publications (if any) of the submitter (appeared, accepted, submitted)
Students at the initial stage of their research might have some difficulty in addressing some of these instructions, but should make the best attempt. The research abstract should include the title of the work, the submitter’s name a one-paragraph summary in the style of an abstract for a regular paper, and a text body that covers the points above.
A paper for a doctoral symposium typically describes the work of a single student and shall not have any coauthors. During the submission process, the system will additionally ask for the name of the advisor(s), contact information, and a link to the submitter’s academic web page.
The deadline for submitting the research abstract is July 15th 2020; notifications are expected on July 31st 2020.
Part 2: Recommendation Letter (optional)
In addition to the research abstract, a submitter must provide a recommendation letter from their Ph.D. advisor. This letter should include the student’s name and a candid assessment of the current status of the dissertation research and an expected date for dissertation submission. The recommendation letter should be in PDF, and sent to the co-chairs with the subject “ASE 2020 DOCTORAL SYMPOSIUM RECOMMENDATION” at TBA
Mon 21 SepDisplayed time zone: (UTC) Coordinated Universal Time change
09:00 - 10:15 | Opening & KeynoteDoctoral Symposium at Kangaroo Chair(s): Massimiliano Di Penta University of Sannio, Italy, Jean-Guy Schneider Deakin University | ||
09:00 10mDay opening | Opening of Doctoral Symposium Doctoral Symposium | ||
09:10 65mKeynote | Taming your PhD Doctoral Symposium Oscar Nierstrasz University of Bern, Switzerland |
10:15 - 11:00 | DS: Presentation 1Doctoral Symposium at Kangaroo Chair(s): Massimiliano Di Penta University of Sannio, Italy | ||
10:15 22mTalk | Towards Robust Production Machine Learning Systems: Managing Dataset Shift Doctoral Symposium Hala Abdelkader Applied Artificial Intelligence Institute, Deakin University | ||
10:37 22mTalk | Using Defect Prediction to Improve the Bug Detection Capability of Search-Based Software Testing Doctoral Symposium Anjana Perera Monash University DOI Pre-print |
16:00 - 16:40 | |||
16:00 20mTalk | Towards transparency-encouraging partial software disclosure to enable trust in data usage Doctoral Symposium Christian Schindler Institute for Enterprise Systems, University of Mannheim | ||
16:20 20mTalk | SAT-Based Arithmetic Support for Alloy Doctoral Symposium Cesar Cornejo University of Rio Cuarto and CONICET |
16:40 - 17:15 | |||
16:40 17mTalk | Applying Learning Techniques to Oracle Synthesis Doctoral Symposium Facundo Molina University of Río Cuarto | ||
16:57 17mTalk | Automated generation of client-specific backends utilizing existing microservices and architectural knowledge Doctoral Symposium Nils Wieber Institute for Enterprise Systems (InES), University of Mannheim |
17:15 - 18:20 | |||
17:15 45m | Panel Discussion Doctoral Symposium | ||
18:00 10mDay closing | Closing of ASE 2020 Doctoral Symposium Doctoral Symposium |
Tue 22 SepDisplayed time zone: (UTC) Coordinated Universal Time change
10:20 - 11:20 | LBR + DS Poster (1)Late Breaking Results / Doctoral Symposium at Koala Chair(s): Kevin Lee Deakin University | ||
10:20 5mPoster | Efficient Multiplex Symbolic Execution with Adaptive Search Strategy Late Breaking Results Tianqi Zhang National University of Defense Technology, Yufeng Zhang College of Information Science and Engineering, Hunan University, Zhenbang Chen College of Computer, National University of Defense Technology, Changsha, PR China, Ziqi Shuai National University of Defense Technology, Ji Wang National University of Defense Technology | ||
10:25 5mPoster | Styx: A Data-Oriented Mutation Framework to Improve the Robustness of DNN Late Breaking Results Meixi Liu National University of Defense Technology, Changsha, China, Weijiang Hong National University of Defense Technology, Changsha, China, Weiyu Pan National University of Defense Technology, Changsha, China, Chendong Feng College of Computer, National University of Defense Technology, Changsha, China, Zhenbang Chen College of Computer, National University of Defense Technology, Changsha, PR China, Ji Wang National University of Defense Technology | ||
10:30 5mPoster | Synthesizing Smart Solving Strategy for Symbolic Execution Late Breaking Results Zehua Chen National University of Defense Technology, Zhenbang Chen College of Computer, National University of Defense Technology, Changsha, PR China, Ziqi Shuai National University of Defense Technology, Yufeng Zhang College of Information Science and Engineering, Hunan University, Weiyu Pan National University of Defense Technology, Changsha, China | ||
10:35 5mPoster | Privacy Assessment of Android Clipboard Late Breaking Results Wei (Zach) Wang The University of Adelaide, Ruoxi Sun The University of Adelaide, Jason Minhui Xue The University of Adelaide, Damith C. Ranasinghe The University of Adelaide DOI | ||
10:40 5mPoster | The Symptom, Cause and Repair of Workaround Late Breaking Results Daohan Song Shanghai Jiao Tong University, Hao Zhong Shanghai Jiao Tong University, Li Jia Shanghai Jiao Tong University | ||
10:45 5mPoster | Edge4Sys: A Device-Edge Collaborative Framework for MEC based Smart Systems Late Breaking Results Han Gao School of Computer Science and Technology, Anhui University, Yi Xu School of Computer Science and Technology, Anhui University, Xiao Liu School of Information Technology, Deakin University, Jia Xu School of Computer Science and Technology, Anhui University, Tianxiang Chen School of Computer Science and Technology, Anhui University, Bowen Zhou School of Computer Science and Technology, Anhui University, Rui Li School of Information Technology, Deakin University, Xuejun Li School of Computer Science and Technology, Anhui University | ||
10:50 5mPoster | Towards Immersive Comprehension of Software Systems Using Augmented Reality - An Empirical Evaluation Late Breaking Results Rohit Mehra Accenture Labs, India, Vibhu Saujanya Sharma Accenture Labs, Bangalore, India, Vikrant Kaulgud Accenture Labs, India, Sanjay Podder Accenture, Adam P. Burden Accenture | ||
10:55 5mPoster | Towards Programming and Verification for Activity-Oriented Smart Home Systems Late Breaking Results Xuansong Li School of Computer Science and Engineering, Nanjing University of Science and Technology, Wei Song School of Computer Science and Engineering, Nanjing University of Science and Technology, Xiangyu Zhang Purdue University, USA | ||
11:00 5mTalk | Towards Robust Production Machine Learning Systems: Managing Dataset Shift Doctoral Symposium Hala Abdelkader Applied Artificial Intelligence Institute, Deakin University | ||
11:05 5mTalk | Using Defect Prediction to Improve the Bug Detection Capability of Search-Based Software Testing Doctoral Symposium Anjana Perera Monash University DOI Pre-print |
18:20 - 19:20 | LBR + DS Poster (2)Doctoral Symposium / Late Breaking Results at Koala Chair(s): Kevin Lee Deakin University | ||
18:20 5mPoster | Managing App Testing Device Clouds: Issues and Opportunities Late Breaking Results | ||
18:25 5mTalk | Towards transparency-encouraging partial software disclosure to enable trust in data usage Doctoral Symposium Christian Schindler Institute for Enterprise Systems, University of Mannheim | ||
18:30 5mTalk | Automated generation of client-specific backends utilizing existing microservices and architectural knowledge Doctoral Symposium Nils Wieber Institute for Enterprise Systems (InES), University of Mannheim | ||
18:35 5mTalk | SAT-Based Arithmetic Support for Alloy Doctoral Symposium Cesar Cornejo University of Rio Cuarto and CONICET | ||
18:40 5mTalk | Applying Learning Techniques to Oracle Synthesis Doctoral Symposium Facundo Molina University of Río Cuarto |
Accepted Papers
Title | |
---|---|
Applying Learning Techniques to Oracle Synthesis Doctoral Symposium | |
Automated generation of client-specific backends utilizing existing microservices and architectural knowledge Doctoral Symposium | |
Closing of ASE 2020 Doctoral Symposium Doctoral Symposium | |
Opening of Doctoral Symposium Doctoral Symposium | |
Panel Discussion Doctoral Symposium | |
SAT-Based Arithmetic Support for Alloy Doctoral Symposium | |
Taming your PhD Doctoral Symposium | |
Towards Robust Production Machine Learning Systems: Managing Dataset Shift Doctoral Symposium | |
Towards transparency-encouraging partial software disclosure to enable trust in data usage Doctoral Symposium | |
Using Defect Prediction to Improve the Bug Detection Capability of Search-Based Software Testing Doctoral Symposium DOI Pre-print |