From Innovations to Prospects: What Is Hidden Behind Cryptocurrencies?
MSR - Technical Paper
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 repositories, GitHub fork relations, and market capitalizations (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.
Tue 30 Jun Times are displayed in time zone: (UTC) Coordinated Universal Time change
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The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHubMSR - Technical Paper
Danielle GonzalezRochester Institute of Technology, USA, Thomas ZimmermannMicrosoft Research, Nachiappan NagappanMicrosoft ResearchDOI Pre-print Media Attached
|16:15 - 16:30|
Ethical Mining – A Case Study on MSR Mining ChallengesACM SIGSOFT Distinguished Paper AwardMSR - Technical PaperDOI Pre-print Media Attached
|16:30 - 16:45|
Ang JiaXi'an Jiaotong University, Ming FanXi'an Jiaotong University, Xi Xu, Di CuiXi'an Jiaotong University, Wenying Wei, Zijiang YangWestern Michigan University, Kai Ye, Ting LiuXi'an Jiaotong UniversityDOI Pre-print Media Attached
|16:45 - 17:00|
|Pre-print Media Attached|