Using (bio)metrics to predict code quality online

Abstract

Finding and fixing code quality concerns, such as defects or poor understandability of code, decreases software development and evolution costs. A common industrial practice to identify code quality concerns early on are code reviews. While code reviews help to identify problems early on, they also impose costs on development and only take place after a code change is already completed. The goal of our research is to automatically identify code quality concerns while a developer is making a change to the code. By using biometrics, such as heart rate variability, we aim to determine the difficulty a developer experiences working on a part of the code as well as identify and help to fix code quality concerns before they are even committed to the repository.

BibTeX

@inproceedings{Mueller-Fritz:ICSE16,
  author    = {Sebastian C. M{\"{u}}ller and
               Thomas Fritz},
  title     = {Using (bio)metrics to predict code quality online},
  booktitle = {ICSE},
  pages     = {452--463},
  publisher = {{ACM}},
  year      = {2016},
}

Using (bio)metrics to predict code quality online

Abstract

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