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1. Research on automatic programs grading system | |||
Yang Meng,Zhao Xinyan | |||
Computer Science and Technology 20 October 2015 | |||
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Abstract:This project is a research one, which focus on is to research on automatic marking method to realize automatically marking Java program. In the process, generated the story cards of the semi-auto marking system, gave them the implementation sequence, determined which story cards were more important and which ones were not that important and could be realized after the important ones. This paper deeply researched on four marking methods, method based on Program Understanding; method based on the Artificial Intelligence; method based on Sentence Similarity; and method based on String Similarity. Evaluated them, knew each of their advantage and disadvantage and then got good ideas from them. Then generated own method, which used the method based on String Similarity and gave some improvements to it. The method can successfully check if the program can be compiled automatically; check if the output is correct automatically; check if the source code is written according to the spec optionally, which means that it can choose to check automatically or manually, and the system can check the code quality manually. After finished the system, this paper did some evaluations to check whether this method is good. This paper used three different kinds of programs to evaluate method, compared the result with the result totally got by human, and then got the conclusion. Finally, gave a conclusion to this method, pointed out the shortage of my method and also gave the advice of further work. The project puts forward a kind of thought that combine automatically marking and manually marking, at some level ensure and improve the accuracy of the marking of Java programs. | |||
TO cite this article:Yang Meng,Zhao Xinyan. Research on automatic programs grading system[OL].[20 October 2015] http://en.paper.edu.cn/en_releasepaper/content/4656809 |
2. Expressing and Manipulating Defect-Properties of Software Architectures with Extended Relation Algebra RASA | |||
LI Zu-De, CHEN Ming | |||
Computer Science and Technology 05 August 2014 | |||
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Abstract:Just as a Relation Algebra is invaluable for operating on the architecture of a software system, so it can be used fruitfully for visualising, aggregating and analysing architectural defects.The early study has thus defined an extended Relation Algebra for Software Architectures, called RASA.%This paper continues on RASA by focusing on two aspects: (i) an application of RASA for expression and manipulation of architectural defect-properties; and (ii) an implementation of RASA based on a traditional relational database system.This gives a clear guideline for utilizing and implementing RASA in analysis of software architectures. | |||
TO cite this article:LI Zu-De, CHEN Ming. Expressing and Manipulating Defect-Properties of Software Architectures with Extended Relation Algebra RASA[OL].[ 5 August 2014] http://en.paper.edu.cn/en_releasepaper/content/4602932 |
3. A Systematic Software Aging Parameter Identification Method\ for Xen | |||
Wu Di ,Wang Yuhao ,Song Qinbao | |||
Computer Science and Technology 23 May 2012 | |||
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Abstract:software rejuvenation has been used to avoidsoftware (running image) aging, which is thephenomena of the gradual performance degradationof running software images due to unreleasedresources, accumulation of numerical errors, andfile system degradation. At the same time,software rejuvenation also can incur an overheadwhich should be balanced against the lossincurred due to unexpected outage caused by afailure. Thus, effective rejuvenation depends onthe right time. The time to rejuvenate is usuallyestimated based on the collection and statisticalanalysis of the values of aging related systemparameters. However, to our knowledge, there isno work on systematically identifying the agingrelated parameters. Thus, in this paper, wepropose a systematic method for identifying theseparameters, which is verified in the context ofXen. We firstly identify 2101 potential agingrelated system parameters that cover all the aspects of system, includingCPU scheduling, networking, memory/diskaccessing, virtual machine monitor communication and system kernel information. Then, we collect the values of theseparameters in both aging and healthy runningprocesses. After that, statistical test andmanual identification technique are used toobtain aging related parameters. We also verifiedthese parameters by a machine learning method,the results show that the parameters caneffectively represent the system performance andfurther system aging state. | |||
TO cite this article:Wu Di ,Wang Yuhao ,Song Qinbao . A Systematic Software Aging Parameter Identification Method\ for Xen[OL].[23 May 2012] http://en.paper.edu.cn/en_releasepaper/content/4479012 |
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