How Not to Do It: Anti-patterns for Data Science in Software Engineering
| Title | How Not to Do It: Anti-patterns for Data Science in Software Engineering |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Menzies, Tim |
| Conference Name | Proceedings of the 38th International Conference on Software Engineering Companion |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4205-6 |
| Keywords | composability, Data Science, Human Behavior, Metrics, pubcrawl, Scalability, software analytics, text analytics |
| Abstract | Many books and papers describe how to do data science. While those texts are useful, it can also be important to reflect on anti-patterns; i.e. common classes of errors seen when large communities of researchers and commercial software engineers use, and misuse data mining tools. This technical briefing will present those errors and show how to avoid them. |
| URL | http://doi.acm.org/10.1145/2889160.2891047 |
| DOI | 10.1145/2889160.2891047 |
| Citation Key | menzies_how_2016 |