Update README.md

README.md

@@ -67,9 +67,9 @@ The dataset is structured as follows:
 The main goal of this repository is to train code **readability classifiers for Java source code**. 
 The dataset is a combination and normalization of three datasets: 
 
-- **Buse**, Raymond PL, and Westley R. Weimer. "Learning a metric for code readability." IEEE Transactions on software engineering 36.4 (2009): 546-558.
-- **Dorn**, Jonathan. “A General Software Readability Model.” (2012).
-- **Scalabrino**, Simone, et al. "Automatically assessing code understandability: How far are we?." 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2017.
+- **Buse**, R. P., & Weimer, W. R. (2009). Learning a metric for code readability. IEEE Transactions on software engineering, 36(4), 546-558.
+- **Dorn**, J. (2012). A General Software Readability Model.
+- **Scalabrino**, S., Linares‐Vásquez, M., Oliveto, R., & Poshyvanyk, D. (2018). A comprehensive model for code readability. Journal of Software: Evolution and Process, 30(6), e1958.
 
 The raw datasets can be downloaded [here](https://dibt.unimol.it/report/readability/).
 
@@ -149,14 +149,14 @@ The dataset should be used to train **small** Java code readability classifiers.
 **BibTeX:**
 ```bibtex
 @article{buse2009learning,
-    title={Learning a metric for code readability},
-    author={Buse, Raymond PL and Weimer, Westley R},
-    journal={IEEE Transactions on software engineering},
-    volume={36},
-    number={4},
-    pages={546--558},
-    year={2009},
-    publisher={IEEE}
+  title={Learning a metric for code readability},
+  author={Buse, Raymond PL and Weimer, Westley R},
+  journal={IEEE Transactions on software engineering},
+  volume={36},
+  number={4},
+  pages={546--558},
+  year={2009},
+  publisher={IEEE}
 }
 
 @inproceedings{dorn2012general,
@@ -166,20 +166,22 @@ The dataset should be used to train **small** Java code readability classifiers.
   url={https://api.semanticscholar.org/CorpusID:14098740}
 }
 
-@inproceedings{scalabrino2016improving,
-    title={Improving code readability models with textual features},
-    author={Scalabrino, Simone and Linares-Vasquez, Mario and Poshyvanyk, Denys and Oliveto, Rocco},
-    booktitle={2016 IEEE 24th International Conference on Program Comprehension (ICPC)},
-    pages={1--10},
-    year={2016},
-    organization={IEEE}
+@article{scalabrino2018comprehensive,
+  title={A comprehensive model for code readability},
+  author={Scalabrino, Simone and Linares-V{\'a}squez, Mario and Oliveto, Rocco and Poshyvanyk, Denys},
+  journal={Journal of Software: Evolution and Process},
+  volume={30},
+  number={6},
+  pages={e1958},
+  year={2018},
+  publisher={Wiley Online Library}
 }
 ```
 
 **APA:**
-- Buse, Raymond PL, and Westley R. Weimer. "Learning a metric for code readability." IEEE Transactions on software engineering 36.4 (2009): 546-558.
-- Dorn, Jonathan. “A General Software Readability Model.” (2012).
-- Scalabrino, Simone, et al. "Automatically assessing code understandability: How far are we?." 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE, 2017.
+- Buse, R. P., & Weimer, W. R. (2009). Learning a metric for code readability. IEEE Transactions on software engineering, 36(4), 546-558.
+- Dorn, J. (2012). A General Software Readability Model.
+- Scalabrino, S., Linares‐Vásquez, M., Oliveto, R., & Poshyvanyk, D. (2018). A comprehensive model for code readability. Journal of Software: Evolution and Process, 30(6), e1958.
 
 ## Dataset Card Authors
 Lukas Krodinger, [Chair of Software Engineering II](https://www.fim.uni-passau.de/en/chair-for-software-engineering-ii), [University of Passau](https://www.uni-passau.de/en/).