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One adaptive modeling with Markov-Chain Decision Tree in application of Independent Combinational Components Installing Test

One Adaptive Modeling with Markov-Chain Decision Tree in app...

引用

2nd IEEE International Conference on Computer Science and Information Technology

作者： Zhou, Wei Chu, Jing Hu, Nan Wei IBM Tivoli China Dev Lab Beijing Peoples R China

ISBN: (纸本)9781424445189

The software functional test goal is to detect and remove as many defects as possible with a series of test case. In order to solve the problem of paradox of defects coverage and time cost in installation of independent combinational components(ICCI), one adaptive modeling algorithm with Markov-chain decision tree based on some necessary assumptions is proposed in this paper compared to the traditional matrix methodology. After comparing two searching strategies called two-binary search and bottom-totop respectively, we also do some edges cunning work according to improved understanding of correct probability of software product during testing and defect verification. Combining the merits of the two strategies with layer controlling, empirical results with one of our product Tivoli Integrated Portal is also collected to demonstrate the effectiveness of such solution.

关键词： Adapitive Markov-chain decision tree Independent CombinationalComponentsInstalling Test serching stratigies adaptive modeling algorith software test

来源：评论

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One adaptive modeling with Markov-Chain Decision Tree in application of Independent Combinational Components Installing Test

One Adaptive Modeling with Markov-Chain Decision Tree in app...

引用

2009 2nd IEEE International Conference on Computer Science and Information Technology（ICCSIT 2009）

作者： Wei Zhou,Jing Chu IBM Tivoli China Development Lab Beijing,China Nan Wei Hu IBM Tivoli China Development Lab Beijing,China

The software functional test goal is to detect and remove as many defects as possible with a series of test *** order to solve the problem of paradox of defects coverage and time cost in installation of independent combinational components(ICCI),one adaptive modeling algorithm with Markov-chain decision tree based on some necessary assumptions is proposed in this paper compared to the traditional matrix *** comparing two searching strategies called two-binary search and bottom-totop respectively,we also do some edges cunning work according to improved understanding of correct probability of software product during testing and defect *** the merits of the two strategies with layer controlling,empirical results with one of our product Tivoli Integrated Portal is also collected to demonstrate the effectiveness of such solution.

关键词： Adapitive Markov-chain decision tree Independent CombinationalComponentsInstalling Test serching stratigies adaptive modeling algorith software test

来源：评论

学校读者我要写书评

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One adaptive modeling with Markov-Chain Decision Tree in application of Independent Combinational Components Installing Test

One Adaptive Modeling with Markov-Chain Decision Tree in app...

引用

2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

作者： Jing Chu Wei Zhou Nan Wei Hu IBM Tivoli China Development Lab Beijing China IBM Tivoli China Development Lab Beijing China