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EASE 2021
Mon 21 - Thu 24 June 2021
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Mon 21 Jun

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

09:00 - 09:30
Welcome and IntroductionEASE 2021 at Zoom
09:00
30m
Other
Welcome and Introduction
EASE 2021

11:00 - 12:30
Mining EASE 2021 at Zoom
Chair(s): Dietmar Pfahl University of Tartu
11:00
22m
Full-paper
CCMC: Code Completion with a Memory Mechanism and a Copy Mechanism
EASE 2021
Hao Yuan BOPU Technologies, Li Kuang
Pre-print
11:22
22m
Full-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
22m
Full-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
22m
Full-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
22m
Full-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
22m
Full-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
22m
Full-paper
Towards a Corpus for Credibility Assessment in Software Practitioner Blog articles
EASE 2021
Ashley Williams Cloudflare, Matthew Windsor , Austen Rainer Queen's University Belfast
14:37
22m
Vision 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
20m
Full-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
20m
Full-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
20m
Vision 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 Jun

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

09:00 - 10:30
Human and MethodologicalVision and Emerging Results Track / EASE 2021 at Zoom
Chair(s): Nelly Condori-Fernández University of A Coruña/ Vrije Universiteit Amsterdam
09:00
22m
Vision and Emerging Results
Towards Offensive Language Detection and Reduction in Four Software Engineering Communities
Vision and Emerging Results Track
Jithin Cheriyan University of Otago, Bastin Tony Roy Savarimuthu University of Otago, Dunedin, New Zealand, Stephen Cranefield University of Otago
Pre-print
09:22
23m
Full-paper
Challenges when Applying Repertory Grid Technique for Software Practices
EASE 2021
Diana Kirk The University of Auckland, Kelly Blincoe University of Auckland
Pre-print
09:45
22m
Full-paper
Development and Application of Sentiment Analysis Tools in Software Engineering: A Systematic Literature Review
EASE 2021
A: Martin Obaidi Leibniz Universität Hannover, Jil Klünder Leibniz Universität Hannover
Pre-print
10:07
23m
Vision and Emerging Results
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems
Vision and Emerging Results Track
Phuong T. Nguyen University of L’Aquila, Davide Di Ruscio University of L'Aquila, Juri Di Rocco University of L'Aquila, Claudio Di Sipio University of L'Aquila, Massimiliano Di Penta University of Sannio, Italy
Pre-print
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
20m
Full-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
20m
Full-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
20m
Full-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
22m
Full-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
22m
Full-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
22m
Full-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
22m
Vision 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 Jun

Displayed 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
22m
Full-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
22m
Full-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
22m
Full-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
22m
Vision 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
22m
Full-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
22m
Full-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
22m
Full-paper
Measurement-based Experiments on the Mobile Web: A Systematic Mapping Study
EASE 2021
Omar De Munk Vrije Universiteit Amsterdam, Ivano Malavolta Vrije Universiteit Amsterdam
Pre-print
14:07
22m
Vision 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
15:45 - 16:15
ClosingEASE 2021 at Zoom
15:45
30m
Other
Closing
EASE 2021

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.