Mon 21 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
09:00 - 09:30 | |||
09:00 30mOther | Welcome and Introduction EASE 2021 |
11:00 - 12:30 | |||
11:00 22mFull-paper | CCMC: Code Completion with a Memory Mechanism and a Copy Mechanism EASE 2021 Pre-print | ||
11:22 22mFull-paper | Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study EASE 2021 Chen Yang IBO Technology Co., Ltd, Peng Liang Wuhan University, Liming Fu Wuhan University, Zengyang Li Central China Normal University Pre-print Media Attached | ||
11:45 22mFull-paper | How Should Developers Respond to App Reviews? Features Predicting the Success of Developer Responses EASE 2021 Kamonphop Srisopha University of Southern California, USA, Daniel Link , Barry Boehm University of Southern California Pre-print | ||
12:07 22mFull-paper | A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites EASE 2021 Triet Le The University of Adelaide, Roland Croft , David Hin , Muhammad Ali Babar The University of Adelaide Pre-print |
13:30 - 15:00 | Human AspectsEASE 2021 / Vision and Emerging Results Track at Zoom Chair(s): Anh Nguyen-Duc University of South Eastern Norway | ||
13:30 22mFull-paper | Relationships between Personality Traits and Productivity in a Multi-platform Development Context EASE 2021 Maria Caulo University of Basilicata, Rita Francese , Giuseppe Scanniello University of Basilicata, Genoveffa Tortora Pre-print | ||
13:52 22mFull-paper | Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns EASE 2021 Arghavan Moradi Dakhel Polytechnique Montreal, Michel C. Desmarais Polytechnique Montreal, Foutse Khomh Polytechnique Montréal Pre-print | ||
14:15 22mFull-paper | Towards a Corpus for Credibility Assessment in Software Practitioner Blog articles EASE 2021 | ||
14:37 22mVision and Emerging Results | Storytelling in Human-Centric Software Engineering Research Vision and Emerging Results Track Austen Rainer Queen's University Belfast Pre-print |
15:15 - 16:15 | Software Quality IIEASE 2021 / Vision and Emerging Results Track at Zoom Chair(s): Paolo Arcaini National Institute of Informatics | ||
15:15 20mFull-paper | On the Nature of Issues in Five Open Source Microservices Systems: An Empirical Study EASE 2021 Muhammad Waseem Wuhan University, China, Peng Liang Wuhan University, Mojtaba Shahin Monash University, Aakash Ahmad , Ali Rezaei Nasab Pre-print Media Attached | ||
15:35 20mFull-paper | DABT: A Dependency-aware Bug Triaging Method EASE 2021 Hadi Jahanshahi Ryerson University, Kritika Chhabra Ryerson University, Mucahit Cevik Ryerson University, Ayşe Başar Ryerson University Pre-print | ||
15:55 20mVision and Emerging Results | SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain Vision and Emerging Results Track Sohil Lal Shrestha The University of Texas at Arlington, Christoph Csallner University of Texas at Arlington DOI Pre-print Media Attached |
Tue 22 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
11:00 - 12:00 | Decision MakingEASE 2021 at Zoom Chair(s): Pingfan Kong Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg | ||
11:00 20mFull-paper | Analytics Mistakes that Derail Software Startups EASE 2021 Usman Rafiq Free University of Bolzano, Jorge Melegati Free University of Bozen-Bolzano, Dron Khanna Free University of Bozen-Bolzano, Eduardo Guerra Free University of Bozen-Bolzano, Xiaofeng Wang Free University of Bozen-Bolzano Pre-print | ||
11:20 20mFull-paper | Influence of Roles in Decision-Making during OSS Development - A Study of Python EASE 2021 Pankajeshwara Sharma University of Otago, Dunedin, Bastin Tony Roy Savarimuthu University of Otago, Dunedin, New Zealand, Nigel Stanger University of Otago, Dunedin DOI Pre-print | ||
11:40 20mFull-paper | A Machine Learning Based Ensemble Method for Automatic Multiclass Classification of Decisions EASE 2021 Liming Fu Wuhan University, Peng Liang Wuhan University, Xueying Li Wuhan University, Chen Yang IBO Technology Co., Ltd Pre-print Media Attached |
13:00 - 14:30 | AgileEASE 2021 / Vision and Emerging Results Track at Zoom Chair(s): Michael Felderer University of Innsbruck | ||
13:00 22mFull-paper | Mining Dependencies in Large-Scale Agile Software Development Projects: A Quantitative Industry Study EASE 2021 Katarzyna Biesialska Universitat Politècnica de Catalunya, Xavier Franch Universitat Politècnica de Catalunya, Victor Muntés-Mulero Beawre Digital S.L. Pre-print | ||
13:22 22mFull-paper | How Do Agile Practitioners Interpret and Foster "Technical Excellence"? EASE 2021 Adam Alami IT University of Copenhagen, Maria Paasivaara LUT University, Finland & IT University of Copenhagen, Denmark & Aalto University, Finland Pre-print | ||
13:45 22mFull-paper | Tell me: Am I going to Heaven? A Diagnosis Instrument of Continuous Software Engineering Practices Adoption EASE 2021 Paulo Sérgio dos Santos Júnior , Monalessa Barcellos Ontology and Conceptual Modeling Research Group (NEMO), Federal University of Espirito Santo, Fabiano Borges Ruy Ontology and Conceptual Modeling Research Group (NEMO), Federal University of Espirito Santo Pre-print | ||
14:07 22mVision and Emerging Results | Empirical Findings on BDD Story Parsing to Support Consistency Assurance between Requirements and Artifacts Vision and Emerging Results Track Thiago Rocha Silva , Brian Fitzgerald Lero - The Irish Software Research Centre and University of Limerick Link to publication DOI Pre-print |
Wed 23 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:30 - 12:00 | Software MaintenanceVision and Emerging Results Track / EASE 2021 at Zoom Chair(s): Peng Liang Wuhan University | ||
10:30 22mFull-paper | Human-level Ordinal Maintainability Prediction Based on Static Code Metrics EASE 2021 Markus Schnappinger Technical University of Munich, Arnaud Fietzke , Alexander Pretschner Technical University of Munich Pre-print | ||
10:52 22mFull-paper | Test Smell Detection Tools: A Systematic Mapping Study EASE 2021 Wajdi Aljedaani Alkharj College of Technology, Anthony Peruma Rochester Institute of Technology, Ahmed Aljohani Rochester Institute of Technology, Mazen Alotaibi Rochester Institute of Technology, Mohamed Wiem Mkaouer Rochester Institute of Technology, Ali Ouni ETS Montreal, University of Quebec, Christian D. Newman Rochester Institute of Technology, Abdullatif Ghallab University of North Taxes, Stephanie Ludi University of North Texas Pre-print | ||
11:15 22mFull-paper | Modernizing Legacy Systems with Microservices: A Roadmap EASE 2021 Daniele Wolfart PPGComp - Western Paraná State University (UNIOESTE), Wesley Assunção Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Ivonei F. da Silva PPGComp - Western Paraná State University (UNIOESTE), Diogo C. P. Domingos PPGComp - Western Paraná State University (UNIOESTE), Ederson Schmeing PPGComp - Western Paraná State University (UNIOESTE), Guilherme Villaca PPGComp - Western Paraná State University (UNIOESTE), Diogo do N. Paza PPGComp - Western Paraná State University (UNIOESTE) | ||
11:37 22mVision and Emerging Results | debtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt Vision and Emerging Results Track Irene Sala University of Milano - Bicocca, Antonela Tommasel ISISTAN Research Institute, CONICET-UNCPBA, Francesca Arcelli Fontana University of Milano-Bicocca Pre-print |
13:00 - 14:30 | Software Quality EASE 2021 / Vision and Emerging Results Track at Zoom Chair(s): Irit Hadar University of Haifa | ||
13:00 22mFull-paper | Detection and Elimination of Systematic Labeling Bias in Code Reviewer Recommendation Systems EASE 2021 K. Ayberk Tecimer Technical University of Munich, Eray Tüzün Bilkent University, Hamdi Dibeklioğlu Bilkent University, Hakan Erdogmus Carnegie Mellon University Pre-print | ||
13:22 22mFull-paper | From Blackboard to the Office: A Look into how Practitioners Perceive Software Testing Education EASE 2021 Luana Martins Federal University of Bahia, Vinícius Brito Federal University of Bahia, Daniela Feitosa Federal University of Bahia, Larissa Rocha Federal University of Bahia / State University of Feira de Santana, Heitor Augustus Xavier Costa Federal University of Lavras, Ivan Machado Federal University of Bahia Pre-print | ||
13:45 22mFull-paper | Measurement-based Experiments on the Mobile Web: A Systematic Mapping Study EASE 2021 Pre-print | ||
14:07 22mVision and Emerging Results | Open Data-driven Usability Improvements of Static Code Analysis and its Challenges Vision and Emerging Results Track Emma Söderberg Lund University, Luke Church University of Cambridge | Lund University | Lark Systems, Martin Höst Lund University Pre-print |
Accepted Papers
Title | |
---|---|
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems Vision and Emerging Results Track Pre-print | |
debtHunter: A Machine Learning-based Approach for Detecting Self-Admitted Technical Debt Vision and Emerging Results Track Pre-print | |
Empirical Findings on BDD Story Parsing to Support Consistency Assurance between Requirements and Artifacts Vision and Emerging Results Track Link to publication DOI Pre-print | |
Open Data-driven Usability Improvements of Static Code Analysis and its Challenges Vision and Emerging Results Track Pre-print | |
SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain Vision and Emerging Results Track DOI Pre-print Media Attached | |
Storytelling in Human-Centric Software Engineering Research Vision and Emerging Results Track Pre-print | |
Towards Offensive Language Detection and Reduction in Four Software Engineering Communities Vision and Emerging Results Track Pre-print |
Call for papers
The Vision Papers should present long term challenges and opportunities rather than incremental improvements or evaluations of current solutions or practices. Typically, these papers include creative ways to extend the applicability of techniques in empirical software engineering and/or challenge the existing explicit or implicit assumptions or paradigms in the field. Bold calls to action for potential novel directions supported by a well-motivated scientific intuition or argument, as well as well-grounded well grounded predictions of how empirical software engineering research and practice will look in the far future are welcome.
The Emerging Results Papers should describe current work in progress on research and practice and communicate preliminary, initial research results for which the complete evaluation is not yet carried out. This type of papers could also include ideas on how to execute the research in the future, the longer-term objectives, planned work and expected results. Startling emerging results that disregard established results or beliefs, proposals on fundamentally new research directions are welcome. This track particularly invites work (e.g., practices, methodologies, technologies, tools, and software-based services) looking into the emerging areas of software engineering, for example (but not limited to):
- Emerging ideas for software engineering infrastructures (Cloud Computing, DevOps, Healthcare, Smart Cities, and IoT)
- Cross- and multi-disciplinary methods and studies
- New applications and advances in design science, case studies, action-research, and field studies, including multilevel and/or mixed methods research designs
- Simulation-based studies in software engineering as an empirical method
- New models of technology transfer to the industry
- Using AI as a research method in software engineering
- Cohort studies for large-scale research initiatives
- Software engineering for data science advances
- Incorporating virtual and augmented reality into software engineering research
- Empirical assessments of sustainability in software engineering
We are particularly interested in how the existing empirical research methods can be tailored for evaluating software-based solutions developed with emerging technological infrastructures. The primary purpose of the Emerging Results Papers is to communicate new ideas to get early feedback from the empirical software engineering community.
The vision, emerging results and artefact papers will not exceed six pages in camera-ready version.
Important Dates for the Vision and Emerging Results Track:
- Papers submission: 12 March (Hard deadline)
- Notification: 19 April
- Camera-ready: 30 April - extended to May 3, 2021
Submission Details
Submitted papers must be written in English, contain original, unpublished work, and conform to the ACM Proceedings Format (https://www.acm.org/publications/taps/word-template-workflow ). (Note: In the new ACM template https://www.acm.org/publications/taps/word-template-workflow, the submission template provided by the ACM is now one-column. The camera-ready version is still supposed to be two-column. The difference may make it difficult for authors to estimate their page numbers in the camera-ready version. For Word Template users, they shall refer to the Table at the bottom of the link https://www.acm.org/publications/taps/word-template-workflow to estimate the paper's pages in the camera-ready version. For Latex template users, the authors can use \documentclass[sigconf,authordraft]{acmart} to write the paper and to control the number of pages in the camera-ready version, and then change it to \documentclass[manuscript]{acmart} for submitting the paper for review.)
The conference enforces the ACM Policy and Procedures on Plagiarism (https://www.acm.org/publications/policies/plagiarism-overview).
To reduce bias in reviews, EASE conference will use a double-blind review process. As a result, the manuscripts should be submitted for review anonymously (i.e., without listing the author’s names on the paper) and references to own work should be made in the third person.
Please submit manuscripts via EasyChair, and in pdf format via the following url: https://easychair.org/conferences/?conf=ease2021. The conference proceedings will be published by ACM. The ACM offers options for Open Access (https://www.acm.org/openaccess).
At least one author of each accepted paper must register by the camera-ready deadline.