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  • 标题:Code Detection and Evaluation Using Search Based Refactoring
  • 本地全文:下载
  • 作者:Gousiya Begum ; S. Amalan S A ; GeethaDevasena M S
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:4-4
  • 出版社:Seventh Sense Research Group
  • 摘要:Software testing is a critical element of software quality assurance that represents the ultimate review of specifications, design and coding. In computer programming, code smell is the symptom in the source code of a program indicating a deeper problem. Code smells are usually not bugs, they are not technically incorrect and don't currently prevent the program from functioning. Instead, they indicate weaknesses in design that may be slowing down development or increasing the risk of bugs or failures in the future. Code and design smells are poor solutions to recurring implementation and design problems. Bad smells are signs of potential problems in code. Detecting and resolving bad smells remain timeconsuming for software engineers .Numerous bad smells have been recognized, the sequences in which the detection and resolution of different kinds of bad smells are performed rarely because software engineers do not know how to optimize sequences or determine the benefits of an optimal sequence. So, a new sequence for different kinds of bad smells has been implemented, to simplify the detection and resolution of bad smells based on refactoring method. This system reduces the code complexity occurred in coding environment and improves the quality of software.
  • 关键词:Scheme; bad smell; software refactoring; effort; detection; schedule
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