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
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Abstracts
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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 Mezini
(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
, 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
, Shuqing Li
, Guanping Xiao
, Yepang Liu
, and
Yulei Sui
(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. Poskitt
, and
Jun Sun
(Singapore Management University, Singapore)
Publisher's Version
PHYSFRAME: Type Checking Physical Frames of Reference for Robotic Systems
Sayali Kate, Michael Chinn, Hongjun Choi,
Xiangyu Zhang
, and Sebastian Elbaum
(Purdue University, USA; University of Virginia, USA)
Publisher's Version
Continuous Integration and Delivery
Automating Serverless Deployments for DevOps Organizations
Daniel Sokolowski
,
Pascal Weisenburger
, and
Guido Salvaneschi
(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
,
Wei Yang
, Tianyin Xu
, and Tao Xie
(University of Illinois at Urbana-Champaign, USA; University of Texas at Dallas, USA; Peking University, China)
Publisher's Version