{"title":"通过开发和比较非常接近的成功输入和导致失败的不成功输入来进行软件调试","authors":"F. Dashti, Parvaneh Pour Mohammad","doi":"10.1166/JCIES.2013.1050","DOIUrl":null,"url":null,"abstract":"In this paper, we have considered automatic locating of semantic errors and to achieve this purpose, a method has been suggested based on the input, which is the most important element in error detection. In the proposed method, successful entries have been developed based on unsuccessful entries by finding route limitation dynamically and using determinant limitation debugging technique and by comparing the implementation route for both unsuccessful and successful inputs and applying genetic algorithm, the error location will be identified in the software. The results of our studies, which are based on our purposed approach, have been compared with the results of other studies and it has been observed that our suggested method has a better function regarding the percentage of the errors discovered.","PeriodicalId":90853,"journal":{"name":"International journal of advanced computer science","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Software Debugging By Developing and Comparing Very Close Successful Inputs with Failure Inducing Unsuccessful Inputs\",\"authors\":\"F. Dashti, Parvaneh Pour Mohammad\",\"doi\":\"10.1166/JCIES.2013.1050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we have considered automatic locating of semantic errors and to achieve this purpose, a method has been suggested based on the input, which is the most important element in error detection. In the proposed method, successful entries have been developed based on unsuccessful entries by finding route limitation dynamically and using determinant limitation debugging technique and by comparing the implementation route for both unsuccessful and successful inputs and applying genetic algorithm, the error location will be identified in the software. The results of our studies, which are based on our purposed approach, have been compared with the results of other studies and it has been observed that our suggested method has a better function regarding the percentage of the errors discovered.\",\"PeriodicalId\":90853,\"journal\":{\"name\":\"International journal of advanced computer science\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of advanced computer science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1166/JCIES.2013.1050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of advanced computer science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1166/JCIES.2013.1050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software Debugging By Developing and Comparing Very Close Successful Inputs with Failure Inducing Unsuccessful Inputs
In this paper, we have considered automatic locating of semantic errors and to achieve this purpose, a method has been suggested based on the input, which is the most important element in error detection. In the proposed method, successful entries have been developed based on unsuccessful entries by finding route limitation dynamically and using determinant limitation debugging technique and by comparing the implementation route for both unsuccessful and successful inputs and applying genetic algorithm, the error location will be identified in the software. The results of our studies, which are based on our purposed approach, have been compared with the results of other studies and it has been observed that our suggested method has a better function regarding the percentage of the errors discovered.