TY - GEN
T1 - From Innovations to Prospects
T2 - 17th IEEE/ACM International Conference on Mining Software Repositories, MSR 2020, co-located with the 42nd International Conference on Software Engineering. ICSE 2020
AU - Jia, Ang
AU - Fan, Ming
AU - Xu, Xi
AU - Cui, Di
AU - Wei, Wenying
AU - Yang, Zijiang
AU - Ye, Kai
AU - Liu, Ting
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/6/29
Y1 - 2020/6/29
N2 - The great influence of Bitcoin has promoted the rapid development of blockchain-based digital currencies, especially the altcoins, since 2013. However, most altcoins share similar source codes, resulting in concerns about code innovations. In this paper, an empirical study on existing altcoins is carried out to offer a thorough understanding of various aspects associated with altcoin innovations. Firstly, we construct the dataset of altcoins, including source code repository, GitHub fork relation, and market capitalization (cap). Then, we analyze the altcoin innovations from the perspective of source code similarities. The results demonstrate that more than 85% of altcoin repositories present high code similarities. Next, a temporal clustering algorithm is proposed to mine the inheritance relationship among various altcoins. The family pedigrees of altcoin are constructed, in which the altcoin presents similar evolution features as biology, such as power-law in family size, variety in family evolution, etc. Finally, we investigate the correlation between code innovations and market capitalization. Although we fail to predict the price of altcoins based on their code similarities, the results show that altcoins with higher innovations reflect better market prospects.
AB - The great influence of Bitcoin has promoted the rapid development of blockchain-based digital currencies, especially the altcoins, since 2013. However, most altcoins share similar source codes, resulting in concerns about code innovations. In this paper, an empirical study on existing altcoins is carried out to offer a thorough understanding of various aspects associated with altcoin innovations. Firstly, we construct the dataset of altcoins, including source code repository, GitHub fork relation, and market capitalization (cap). Then, we analyze the altcoin innovations from the perspective of source code similarities. The results demonstrate that more than 85% of altcoin repositories present high code similarities. Next, a temporal clustering algorithm is proposed to mine the inheritance relationship among various altcoins. The family pedigrees of altcoin are constructed, in which the altcoin presents similar evolution features as biology, such as power-law in family size, variety in family evolution, etc. Finally, we investigate the correlation between code innovations and market capitalization. Although we fail to predict the price of altcoins based on their code similarities, the results show that altcoins with higher innovations reflect better market prospects.
KW - Altcoins
KW - Innovations
KW - Prospects
KW - Relation
UR - https://www.scopus.com/pages/publications/85093698517
U2 - 10.1145/3379597.3387439
DO - 10.1145/3379597.3387439
M3 - 会议稿件
AN - SCOPUS:85093698517
T3 - Proceedings - 2020 IEEE/ACM 17th International Conference on Mining Software Repositories, MSR 2020
SP - 288
EP - 299
BT - Proceedings - 2020 IEEE/ACM 17th International Conference on Mining Software Repositories, MSR 2020
PB - Association for Computing Machinery, Inc
Y2 - 29 June 2020 through 30 June 2020
ER -