Update README.md

README.md

@@ -4,16 +4,20 @@ language:
 size_categories:
 - 100K<n<1M
 ---
-This dataset contains 589k app descriptions collected from Google Play.
+
+This is the dataset of the paper `Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach`, it contains 589k app descriptions collected from Google Play.
+
+The related code can be found at https://github.com/Jl-wei/feature-inspiration
 
 If you find our work useful, please cite our paper:
 ```bibtex
-@inproceedings{10.1145/3691620.3695591,
-  author = {Wei, Jialiang and Courbis, Anne-Lise and Lambolais, Thomas and Xu, Binbin and Bernard, Pierre Louis and Dray, Gerard and Maalej, Walid},
-  title = {Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach},
-  year = {2024},
-  doi = {10.1145/3691620.3695591},
-  booktitle = {Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering},
+@inproceedings{Wei:GettingInspirationFeature:2024,
+	title = {Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach},
+	author = {Wei, Jialiang and Courbis, Anne-Lise and Lambolais, Thomas and Xu, Binbin and Bernard, Pierre Louis and Dray, Gérard and Maalej, Walid},
+	booktitle = {39th IEEE/ACM International Conference on Automated Software Engineering (ASE'24)},
+	year = {2024},
+	doi = {10.1145/3691620.3695591},
+	publisher = {ACM}
 }
 ```