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文章基本信息

  • 标题:Editorial
  • 本地全文:下载
  • 作者:Zbigniew Huzar ; Lech Madeyski
  • 期刊名称:e-Informatica Software Engineering Journal
  • 印刷版ISSN:1897-7979
  • 电子版ISSN:2084-4840
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 出版社:Wroclaw University of Technology
  • 摘要:Following the mission of e-Informatica Software Engineering Journal, we present this ninth edition with seven scientific papers. The papers refer to dif- ferent topics, but belong to the scope of the journal, including methods, practices, technologies and to ols in the software development cycle, with particular emphasis on empirical evaluation. The first paper by Bluemke and Rembiszewski (Data Flow Approach to Testing Java Programs Sup- ported with DFC [1]) presents the data flow coverage testing of Java programs. In general, the data flow is considered an effective testing technique for fault lo calization, but it is not used in industry b ecause supporting tools are not scalable for large programs. The proposed original testing method and the elab- orated tool, as an Eclipse plug-in, brings hope to overcome this obstacle. The tool was applied for comparison of testing Java programs using data flow and mutation techniques. The results show that the effectiveness of mutation testing is higher than the effectiveness of data flow testing, but mutation tech- niques appear to be more expensive than the data flow if time and effort are considered.
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