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Published Date

Publication

Formal Verification of Workflow Policies for Smart Contracts in Azure Blockchain

Yuepeng Wang, Shuvendu Lahiri, Shuo Chen, Rong Pan, Isil Dillig, Cody Born, Immad Naseer, Kostas Ferles

Verified Software: Theories, Tools and Experiments | September 2019

Project

Publication

End-User Probabilistic Programming

Judith Borghouts, Andy Gordon, Advait Sarkar, Neil Toronto

International Conference on Quantitative Evaluation of Systems | September 2019

Editor(s): David Parker and Verena Wolf

Project

Publication

Learning How to Mutate Source Code from Bug-Fixes

Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk

2019 International Conference on Software Maintenance | August 2019

Publication

Dorylus: An Ant Colony Based Tool for Automated Test Case Generation

Dan Bruce, Héctor D. Menéndez, David Clark

2019 Symposium on Search Based Software Engineering | August 2019

Publication

Methodology Matters: How We Study Socio-Technical Aspects in Software Engineering

Courtney Williams, Margaret-Anne D. Storey, Neil A. Ernst, Alexey Zagalsky, Eirini Kalliamvakou

ACM Transactions on Software Engineering and Methodology | August 2019, Vol 37(4, Article 111): pp. 111:1-111:22

Publication

WhoDo: Automating Reviewer Suggestions at Scale

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok

ESEC/FSE 2019 | August 2019

Project

Publication

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Project

Publication

Moving from Closed to Open Source: Observations from Six Transitioned Projects to GitHub

Pavneet Singh Kochhar, Eirini Kalliamvakou, Nachi Nagappan, Thomas Zimmermann (tzimmer), Christian Bird

IEEE Transactions on Software Engineering | August 2019, pp. 1-1

Video

Compacting the Uncompactable: The Mesh Compacting Memory Allocator

August 23, 2019 | Emery Berger

Programs written in C/C++ can suffer from serious memory fragmentation, leading to low utilization of memory, degraded performance, and even application failure due to memory exhaustion. This problem extends to languages like Ruby and Python,…

0:44:09

Video

Tea: A High-level Language and Runtime System for Automating Statistical Analysis

August 22, 2019 | Eunice Jun

Current statistical tools place the burden of valid, reproducible statistical analyses on the user. Users must have deep knowledge of statistics to not only identify their research questions, hypotheses, and domain assumptions but also select…

Statistics is hard slide from Tea: A High-level Language and Runtime System for Automating Statistical Analysis talk

0:38:13

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