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  • 标题:H-ARPT: A Hybrid Adaptive Random Partition Testing for Improved Bug Detection and Test Coverage
  • 本地全文:下载
  • 作者:Mahesh Malviya ; Reetika Patidar
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:5
  • 页码:6796-6801
  • 出版社:TechScience Publications
  • 摘要:Testing is a very crucial process of assuring products reliability and trust dependencies. It involves identification of maximum bugs which is currently being available in the functional blocks or some behaviour by which some faults might occur in future. It is of two basic types black box and white box and they differ in their working area. Black box works by verifying the overall behaviour of functional bock without knowing the internal logics. White box deals with internal structure of the programs. Both testing methodology requires some functional and cost drivers for performing test. Some of these are test cases, suites and test frames, test oracles, sequences, reordering, coverage, fault detection rate etc. Above factors are selectively applied with testing mechanism for verifying the behaviour of the code. Thus for achieving maximum coverage the test must be generated from overall distributed regions of input domains and known as partition testing. But it gives optimal results for homogeneous regions. Random testing serve better than partition testing but is also generating high computation overheads. Another technique is Adaptive Random technique having adaptive nature of regenerating and passing some of the test cases back to the input for correcting the next test cases lined to be passed. Apart from the above benefits of ART the complete problem solution of PT and RT is not provided. Thus this work proposes a Hybrid Adaptive Random Partition Testing (HARPT). The work uses some test guiding factors and selection parameters for test cases from different size regions. The partition logic is also provided for accurately subdivide the zones of similar and random range test inputs. The work is also having a adaptive feedback which with some ding factors of coverage and failure rate for improving the next inputs. Here the detection of bugs can also be categorized according to their severity levels. At the analytical evaluation, the approach seems to provide effective results in near future and is showing its strong presence right now.
  • 关键词:Software Testing; Black box Testing; Adaptive;Random and Partition Testing; Hybrid Adaptive Random Partition;Testing; Coverage analysis and Fault Detection Rate
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