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EASE 2021
Mon 21 - Thu 24 June 2021
Dates
Tracks

This program is tentative and subject to change.

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Mon 21 Jun
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

09:00 - 09:30
Welcome and IntroductionEASE 2021 at Room 1
09:00
30m
Other
Welcome and Introduction
EASE 2021
11:00 - 12:30
Mining EASE 2021 at Room 1
11:00
22m
Full-paper
CCMC: Code Completion with a Memory Mechanism and a Copy Mechanism
EASE 2021
Hao YuanBOPU Technologies, Li Kuang
11:22
22m
Full-paper
Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study
EASE 2021
Chen YangIBO Technology Co., Ltd, Peng LiangWuhan University, Liming FuWuhan University, Zengyang LiCentral 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 SrisophaUniversity of Southern California, USA, Daniel Link, Barry BoehmUniversity of Southern California
12:07
22m
Full-paper
A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites
EASE 2021
Triet Le Huynh MinhThe University of Adelaide, Roland Croft, David Hin, Muhammad Ali BabarThe University of Adelaide
Pre-print
13:30 - 15:00
13:30
22m
Full-paper
Relationships between Personality Traits and Productivity in a Multi-platform Development Context
EASE 2021
Maria CauloUniversity of Basilicata, Rita Francese, Giuseppe ScannielloUniversity of Basilicata, Genoveffa Tortora
13:52
22m
Full-paper
Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns
EASE 2021
Arghavan Moradi DakhelPolytechnique Montreal, Michel C. DesmaraisPolytechnique Montreal, Foutse KhomhPolytechnique Montréal
14:15
22m
Full-paper
Towards a Corpus for Credibility Assessment in Software Practitioner Blog articles
EASE 2021
Ashley WilliamsCloudflare, Matthew Windsor, Austen RainerQueen's University Belfast
14:37
22m
Vision and Emerging Results
Storytelling in Human-Centric Software Engineering Research
Vision and Emerging Results Track
Austen RainerQueen's University Belfast
15:15 - 16:15
15:15
20m
Full-paper
On the Nature of Issues in Five Open Source Microservices Systems: An Empirical Study
EASE 2021
Muhammad WaseemWuhan University, China, Peng LiangWuhan University, Mojtaba ShahinMonash 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 JahanshahiRyerson University, Kritika ChhabraRyerson University, Mucahit CevikRyerson University, Ayşe BaşarRyerson University
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 ShresthaThe University of Texas at Arlington, Christoph CsallnerUniversity of Texas at Arlington
DOI Pre-print

Tue 22 Jun
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

09:00 - 10:30
09:00
22m
Full-paper
Challenges when Applying Repertory Grid Technique for Software Practices
EASE 2021
Diana KirkThe University of Auckland, Kelly BlincoeUniversity of Auckland
09:22
22m
Full-paper
Development and Application of Sentiment Analysis Tools in Software Engineering: A Systematic Literature Review
EASE 2021
A: Martin ObaidiLeibniz Universität Hannover, Jil KlünderLeibniz Universität Hannover
Pre-print
09:45
22m
Vision and Emerging Results
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems
Vision and Emerging Results Track
Phuong T. NguyenUniversity of L’Aquila, Davide Di RuscioUniversity of L'Aquila, Juri Di RoccoUniversity of L'Aquila, Claudio Di SipioUniversity of L'Aquila, Massimiliano Di PentaUniversity of Sannio, Italy
10:07
22m
Vision and Emerging Results
Towards Offensive Language Detection and Reduction in Four Software Engineering Communities
Vision and Emerging Results Track
Jithin CheriyanUniversity of Otago, Bastin Tony Roy SavarimuthuUniversity of Otago, Dunedin, New Zealand, Stephen CranefieldUniversity of Otago
11:00 - 12:00
Decision MakingEASE 2021 at Room 1
11:00
20m
Full-paper
Analytics Mistakes that Derail Software Startups
EASE 2021
Usman RafiqFree University of Bolzano, Jorge MelegatiFree University of Bozen-Bolzano, Dron KhannaFree University of Bozen-Bolzano, Eduardo GuerraFree University of Bozen-Bolzano, Xiaofeng WangFree University of Bozen-Bolzano
11:20
20m
Full-paper
Influence of Roles in Decision-Making during OSS Development - A Study of Python
EASE 2021
Pankajeshwara SharmaUniversity of Otago, Dunedin, Bastin Tony Roy SavarimuthuUniversity of Otago, Dunedin, New Zealand, Nigel StangerUniversity 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 FuWuhan University, Peng LiangWuhan University, Xueying LiWuhan University, Chen YangIBO Technology Co., Ltd
Pre-print Media Attached
13:00 - 14:30
13:00
22m
Full-paper
Mining Dependencies in Large-Scale Agile Software Development Projects: A Quantitative Industry Study
EASE 2021
Katarzyna BiesialskaUniversitat Politècnica de Catalunya, Xavier FranchUniversitat Politècnica de Catalunya, Victor Muntés-MuleroBeawre Digital S.L.
13:22
22m
Full-paper
How Do Agile Practitioners Interpret and Foster "Technical Excellence"?
EASE 2021
Adam AlamiIT University of Copenhagen, Maria PaasivaaraLUT University, Finland & IT University of Copenhagen, Denmark & Aalto University, Finland
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 BarcellosOntology and Conceptual Modeling Research Group (NEMO), Federal University of Espirito Santo, Fabiano Borges RuyOntology and Conceptual Modeling Research Group (NEMO), Federal University of Espirito Santo
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 Silva, Brian FitzgeraldLero - The Irish Software Research Centre and University of Limerick

Wed 23 Jun
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:30 - 12:00
10:30
22m
Full-paper
Human-level Ordinal Maintainability Prediction Based on Static Code Metrics
EASE 2021
Markus SchnappingerTechnical University of Munich, Arnaud Fietzke, Alexander PretschnerTechnical University of Munich
Pre-print
10:52
22m
Full-paper
Test Smell Detection Tools: A Systematic Mapping Study
EASE 2021
Wajdi AljedaaniAlkharj College of Technology, Anthony PerumaRochester Institute of Technology, Ahmed AljohaniRochester Institute of Technology, Mazen AlotaibiRochester Institute of Technology, Mohamed Wiem MkaouerRochester Institute of Technology, Ali OuniETS Montreal, University of Quebec, Christian D. NewmanRochester Institute of Technology, Abdullatif GhallabUniversity of North Taxes, Stephanie LudiUniversity of North Texas
11:15
22m
Full-paper
Modernizing Legacy Systems with Microservices: A Roadmap
EASE 2021
Daniele WolfartPPGComp - Western Paraná State University (UNIOESTE), Wesley AssunçãoPontifical Catholic University of Rio de Janeiro (PUC-Rio), Ivonei F. da SilvaPPGComp - Western Paraná State University (UNIOESTE), Diogo C. P. DomingosPPGComp - Western Paraná State University (UNIOESTE), Ederson SchmeingPPGComp - Western Paraná State University (UNIOESTE), Guilherme VillacaPPGComp - Western Paraná State University (UNIOESTE), Diogo do N. PazaPPGComp - 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 SalaUniversity of Milano - Bicocca, Antonela TommaselISISTAN Research Institute, CONICET-UNCPBA, Francesca Arcelli FontanaUniversity of Milano-Bicocca
13:00 - 14:30
13:00
22m
Full-paper
Detection and Elimination of Systematic Labeling Bias in Code Reviewer Recommendation Systems
EASE 2021
K. Ayberk TecimerTechnical University of Munich, Eray TüzünBilkent University, Hamdi DibeklioğluBilkent University, Hakan ErdogmusCarnegie 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 MartinsFederal University of Bahia, Vinícius BritoFederal University of Bahia, Daniela FeitosaFederal University of Bahia, Larissa RochaFederal University of Bahia / State University of Feira de Santana, Heitor Augustus Xavier CostaFederal University of Lavras, Ivan MachadoFederal University of Bahia
13:45
22m
Full-paper
Measurement-based Experiments on the Mobile Web: A Systematic Mapping Study
EASE 2021
Omar De MunkVrije Universiteit Amsterdam, Ivano MalavoltaVrije Universiteit Amsterdam
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 SöderbergLund University, Luke ChurchUniversity of Cambridge | Lund University | Lark Systems, Martin HöstLund University
15:45 - 16:15
ClosingEASE 2021 at Room 1
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.