Technological Spaces: An Initial Appraisal

By Ivan Kurtev, Jean Bézivin, Mehmet Aksit. 2002

305 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1dfb76b9279b658deda4dc70a5a879a1122a33a8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Terence John Parr
2. Jurgen J. Vinju
3. Miltiadis Allamanis
4. Earl T. Barr

Citations in the corpus

• Towards a universal code formatter through machine learning (2016, background): “Derivative and later work [1, 2, 19] elaborates on specifying how and when to inject these tokens for different languages in different ways and in different technological spaces [6].”
• Technical Report: Towards a Universal Code Formatter through Machine Learning (2016, background): “Derivative and later work [1, 2, 18] elaborates on specifying how and when to inject these tokens for different languages in different ways and in different technological spaces [6].”