Rebuttal to Berger et al., TOPLAS 2019

11/18/2019
by   Baishakhi Ray, et al.
0

Berger et al., published in TOPLAS 2019, is a critique of our 2014 FSE conference abstract and its archival version, the 2017 CACM paper: A Large-Scale Study of Programming Languages and Code Quality in Github. In their paper Berger et al. make academic claims about the veracity of our work. Here, we respond to their technical and scientific critiques aimed at our work, attempting to stick with scientific discourse. We find that Berger et al. largely replicated our results, and agree with us in their conclusion: that the effects (in a statistical sense) found in the data are small, and should be taken with caution, and that it is possible that an absence of effect is the correct interpretation. Thus, our CACM paper's conclusions still hold, even more so now that they have been reproduced, and our paper is eminently citable.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/15/2019

The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019)

Ogburn et al. (2019, arXiv:1910.05438) discuss "The Blessings of Multipl...
research
09/19/2022

Relationship between incidence of breathing obstruction and degree of muzzle shortness in pedigree dogs

There has been much concern about health issues associated with the bree...
research
12/16/2019

Are the results of the groundwater model robust?

De Graaf et al. (2019) suggest that groundwater pumping will bring 42–79...
research
01/29/2019

On the Impact of Programming Languages on Code Quality

This paper is a reproduction of work by Ray et al. which claimed to have...
research
09/08/2023

Commentary on Guyll et al. (2023): Misuse of Statistical Method Results in Highly Biased Interpretation of Forensic Evidence

Since the National Academy of Sciences released their report outlining p...
research
06/30/2014

Information Transfer in Swarms with Leaders

Swarm dynamics is the study of collections of agents that interact with ...
research
10/12/2022

Quantifying hierarchy in scientific teams

This paper provides a detailed description of the data collection and ma...

Please sign up or login with your details

Forgot password? Click here to reset