Mark Grechanik, Nitin Prabhu, Daniel Graham, Denys Poshyvanyk, Mohak Shah. Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?. In Petra Perner, editor, Machine Learning and Data Mining in Pattern Recognition - 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings. Volume 9729 of Lecture Notes in Computer Science, pages 774-789, Springer, 2016. [doi]
@inproceedings{GrechanikPGPS16,
title = {Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?},
author = {Mark Grechanik and Nitin Prabhu and Daniel Graham and Denys Poshyvanyk and Mohak Shah},
year = {2016},
doi = {10.1007/978-3-319-41920-6_59},
url = {http://dx.doi.org/10.1007/978-3-319-41920-6_59},
researchr = {https://researchr.org/publication/GrechanikPGPS16},
cites = {0},
citedby = {0},
pages = {774-789},
booktitle = {Machine Learning and Data Mining in Pattern Recognition - 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings},
editor = {Petra Perner},
volume = {9729},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-41919-0},
}