Titlebook: Computational Science and Its Applications -- ICCSA 2015; 15th International C Osvaldo Gervasi,Beniamino Murgante,Bernady O. Apdu Conferenc

驅(qū)逐

書目名稱Computational Science and Its Applications -- ICCSA 2015影響因子(影響力)




書目名稱Computational Science and Its Applications -- ICCSA 2015影響因子(影響力)學(xué)科排名




書目名稱Computational Science and Its Applications -- ICCSA 2015網(wǎng)絡(luò)公開度




書目名稱Computational Science and Its Applications -- ICCSA 2015網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Science and Its Applications -- ICCSA 2015被引頻次




書目名稱Computational Science and Its Applications -- ICCSA 2015被引頻次學(xué)科排名




書目名稱Computational Science and Its Applications -- ICCSA 2015年度引用




書目名稱Computational Science and Its Applications -- ICCSA 2015年度引用學(xué)科排名




書目名稱Computational Science and Its Applications -- ICCSA 2015讀者反饋




書目名稱Computational Science and Its Applications -- ICCSA 2015讀者反饋學(xué)科排名

EXULT

Flatter

stress-test

https://doi.org/10.1007/978-3-642-35133-4racterized by static source code metrics or by other quantitatively measured properties using the gathered data..We chose GitHub for the base of data collection and we selected 13 Java projects for analysis. As a result, a database was constructed, which characterizes the bugs of the examined projec

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Sciatica

M. K. Masih,J. L. McHan,S. Z. Masihly impaired in this domain. Besides that, a prototype of an accessible social networking service was proposed based on an instance of Elgg framework, where the experiences about web accessibility gathered with this study were applied.

Sciatica

T. P. Castor,W. H. Somerton,J. F. Kelly extending its capabilities. The evaluation is built on analysis success and depth, source code metrics, coding rules and code duplications. We found that SourceMeter is more advanced in analysis depth, product metrics and finding duplications, while their performance of coding rules and analysis su

使饑餓

Code Ownership: Impact on Maintainabilityof this study is a generalization of the already known fact that common code is more error-prone than those of developed by fewer developers..This result could be utilized in identifying the “hot spots” of the source code from maintainability point of view. A possible IDE plug-in, which indicates th

attenuate

Characterization of Source Code Defects by?Data Mining Conducted on GitHubracterized by static source code metrics or by other quantitatively measured properties using the gathered data..We chose GitHub for the base of data collection and we selected 13 Java projects for analysis. As a result, a database was constructed, which characterizes the bugs of the examined projec

Focus-Words