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  • 标题:Two-Phase Sampling for Stratification: Application to Software Industry
  • 本地全文:下载
  • 作者:D. A. Agunbiade ; S. O. Folorunso ; K.-K. A. Abdullah
  • 期刊名称:Annals. Computer Science Series
  • 印刷版ISSN:1583-7165
  • 电子版ISSN:2065-7471
  • 出版年度:2017
  • 卷号:15
  • 期号:2
  • 页码:56-60
  • 出版社:Mirton Publishing House, Timisoara
  • 摘要:

    Many authors have applied Two-Phase Sampling for Stratification (TFSS) to different areas of specialization. It was observed that such application is yet to be extended to the software industry. This research applied TFSS to the comparison of the two software types, Free and Open Source Software (FOSS) and Proprietary Software (PS). The estimated FOSS mean (4.5749) compared to PS mean (3.6390) revealed that FOSS is more rated than PS. The minimum estimated variance in FOSS (0.0046) over PS (0.0484) showed that FOSS is efficient than PS. The relative efficiency further confirmed that FOSS is 1052.17% efficient over PS. FOSS user rating has higher precision with Coefficient of Variation (CV) of 0.0148 as against PS user rating CV of 0.0605. It was, finally, concluded that FOSS is efficiently rated than PS by the software users.

  • 关键词:Two-phase Sampling for Stratification; User rating; Free-and-Open-Source Software; Proprietary Software
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