ESEC/FSE 2021
29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021)
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29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021), August 23–28, 2021, Athens, Greece

ESEC/FSE 2021 – Proceedings

Contents - Abstracts - Authors
Twitter: https://twitter.com/esecfse

Frontmatter

Title Page
Welcome from the Chairs
ESEC/FSE 2021 Organization
Sponsors

Invited Presentations

Programming and Execution Models for Next Generation Code Intelligence Systems (Keynote)
Mira MeziniORCID logo
(TU Darmstadt, Germany)
Publisher's Version
The 4Ps: Product, Process, People, and Productivity: A Data-Driven Approach to Improve Software Engineering (Keynote)
Nachiappan Nagappan
(Facebook, USA)
Publisher's Version
Interactive Analysis of Large Code Bases (Invited Talk)
Gerard J. Holzmann
(Nimble Research, USA)
Publisher's Version
Managers Hate Uncertainty: Good and Bad Experiences with Adaptive Project Management (Invited Talk)
Han Schaminée
(Wārtsilā, Netherlands)
Publisher's Version
Industrial Best Practices for Continuous Integration (CI) and Continuously Delivery (CD) (Invited Talk)
John Micco
(VMware, USA)
Publisher's Version
Huawei’s Practices on Trusted Software Engineering Capability Improvement (Invited Talk)
Wilson Wang
(Huawei Technologies, China)
Publisher's Version

Research Papers

Cyber-Physical Systems

Hazard Analysis for Human-on-the-Loop Interactions in sUAS Systems
Michael Vierhauser ORCID logo, Md Nafee Al Islam, Ankit Agrawal, Jane Cleland-Huang, and James Mason
(JKU Linz, Austria; University of Notre Dame, USA; Northrop Grumman, USA)
Publisher's Version Info
An Exploratory Study of Autopilot Software Bugs in Unmanned Aerial Vehicles
Dinghua Wang ORCID logo, Shuqing Li ORCID logo, Guanping Xiao ORCID logo, Yepang Liu ORCID logo, and Yulei SuiORCID logo
(University of Technology Sydney, Australia; Southern University of Science and Technology, China; Nanjing University of Aeronautics and Astronautics, China)
Publisher's Version
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions
Yuqi Chen, Christopher M. PoskittORCID logo, and Jun SunORCID logo
(Singapore Management University, Singapore)
Publisher's Version
PHYSFRAME: Type Checking Physical Frames of Reference for Robotic Systems
Sayali Kate, Michael Chinn, Hongjun Choi, Xiangyu ZhangORCID logo, and Sebastian Elbaum ORCID logo
(Purdue University, USA; University of Virginia, USA)
Publisher's Version

Continuous Integration and Delivery

Automating Serverless Deployments for DevOps Organizations
Daniel SokolowskiORCID logo, Pascal WeisenburgerORCID logo, and Guido SalvaneschiORCID logo
(TU Darmstadt, Germany; University of St. Gallen, Switzerland)
Publisher's Version Artifacts Reusable

Mobile Analysis and Testing

Algebraic-Datatype Taint Tracking, with Applications to Understanding Android Identifier Leaks
Sydur Rahaman, Iulian Neamtiu, and Xin Yin
(New Jersey Institute of Technology, USA)
Publisher's Version Artifacts Functional
Vet: Identifying and Avoiding UI Exploration Tarpits
Wenyu Wang ORCID logo, Wei YangORCID logo, Tianyin Xu ORCID logo, and Tao Xie ORCID logo
(University of Illinois at Urbana-Champaign, USA; University of Texas at Dallas, USA; Peking University, China)
Publisher's Version