# Questions for Data Scientists in Software Engineering: A Replication

arXiv: https://arxiv.org/abs/2010.03165 · HTML: https://mlsanity.com/paper/2010.03165/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Oct 2020.

## Built on by (most cited first, 1 of 1)

- [Can GPT-4 Replicate Empirical Software Engineering Research?](https://mlsanity.com/paper/2310.01727/) (2023)

## Abstract (arXiv)

In 2014, a Microsoft study investigated the sort of questions that data science applied to software engineering should answer. This resulted in 145 questions that developers considered relevant for data scientists to answer, thus providing a research agenda to the community. Fast forward to five years, no further studies investigated whether the questions from the software engineers at Microsoft hold for other software companies, including software-intensive companies with different primary focus (to which we refer as software-defined enterprises). Furthermore, it is not evident that the problems identified five years ago are still applicable, given the technological advances in software engineering.