scholarly journals Static Source Properties of Slow and Fast Earthquakes

2020 ◽  
Vol 125 (12) ◽  
Author(s):  
Priyamvada Nanjundiah ◽  
Sylvain Barbot ◽  
Shengji Wei
Keyword(s):  
Technologies ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 3
Author(s):  
Gábor Antal ◽  
Zoltán Tóth ◽  
Péter Hegedűs ◽  
Rudolf Ferenc

Bug prediction aims at finding source code elements in a software system that are likely to contain defects. Being aware of the most error-prone parts of the program, one can efficiently allocate the limited amount of testing and code review resources. Therefore, bug prediction can support software maintenance and evolution to a great extent. In this paper, we propose a function level JavaScript bug prediction model based on static source code metrics with the addition of a hybrid (static and dynamic) code analysis based metric of the number of incoming and outgoing function calls (HNII and HNOI). Our motivation for this is that JavaScript is a highly dynamic scripting language for which static code analysis might be very imprecise; therefore, using a purely static source code features for bug prediction might not be enough. Based on a study where we extracted 824 buggy and 1943 non-buggy functions from the publicly available BugsJS dataset for the ESLint JavaScript project, we can confirm the positive impact of hybrid code metrics on the prediction performance of the ML models. Depending on the ML algorithm, applied hyper-parameters, and target measures we consider, hybrid invocation metrics bring a 2–10% increase in model performances (i.e., precision, recall, F-measure). Interestingly, replacing static NOI and NII metrics with their hybrid counterparts HNOI and HNII in itself improves model performances; however, using them all together yields the best results.


Author(s):  
N. V. Goryuk ◽  

The article investigates automation methods and means of integration of static source security analysis technology. The process of software security analysis, which is implemented by the technology of static analysis of the source code, is studied, and the methods of solving the problem of automation and integration of the technology into the source code development environment are offered. The perspective direction of further development of the technology of static analysis of the source code is established.


2013 ◽  
Vol 33 (2) ◽  
pp. 21-22
Author(s):  
Thomas Forster ◽  
Thorsten Keuler ◽  
Jens Knodel

2005 ◽  
Vol 48 (5) ◽  
pp. 1164-1169 ◽  
Author(s):  
Lian-Feng ZHAO ◽  
Wei-Min WANG ◽  
Juan LI ◽  
Zhen-Xing YAO

Author(s):  
David Rothlisberger ◽  
Marcel Harry ◽  
Alex Villazon ◽  
Danilo Ansaloni ◽  
Walter Binder ◽  
...  

1990 ◽  
Vol 3 (11) ◽  
pp. 396-398 ◽  
Author(s):  
Danieul J. Janse Rensburg ◽  
Derek A. McNamara

2020 ◽  
Vol 23 (1) ◽  
pp. 015603
Author(s):  
Adriana González-Juárez ◽  
Gilberto Silva-Ortigoza ◽  
Ernesto Espíndola-Ramos
Keyword(s):  

1977 ◽  
Vol 63 (2) ◽  
pp. 79-80 ◽  
Author(s):  
J. Horský ◽  
P. Lorenc ◽  
J. Novotný

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