Andrew Begel

2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) · 2019

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Andrew Begel's perspective

Ordered by how strongly the researchers Andrew Begel trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Maintaining mental models: a study of developer work habits (International Conference on Software Engineering)
  2. Hidden Technical Debt in Machine Learning Systems
  3. Principles of Explanatory Debugging to Personalize Interactive Machine Learning
  4. Datasheets for datasets
  5. On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems
  6. Investigating statistical machine learning as a tool for software development
  7. An examination of software engineering work practices (Conference of the Centre for Advanced Studies on Collaborative Research)
  8. TFX: A TensorFlow-Based Production-Scale Machine Learning Platform
  9. ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
  10. Data Management Challenges in Production Machine Learning

Their papers