{"title":"Radio Diagnostic tool: IDoctor","authors":"Wei Hoo Chong","doi":"10.1109/ISSREW.2013.6688864","DOIUrl":null,"url":null,"abstract":"Reproducing issues to verify if the issues, especially reset issues, reported by customer are valid issues are tedious and time consuming. The rationale is not all issues can be reproduced and it is not easy to reproduce as some issues may be caused by hardware failure, environmental factor such as air pressure and temperature, and etc. Although the existing reset capture implemented in the radio is used to capturing this kind of intermittent defects, these dependencies are not recorded into the radio when issue happened. The reset capture is able to capture the last state of the radio before reset happens. So, the information such as, how many calls had been made before the radio hangs and resets? What is the battery level before resets? It remains unknown. This information is crucial for the issue as we need to know whether the issue happens after the first call made or after many calls made; during battery level is low or full. Hence, a Diagnostic tool is introduced in order to track radios' condition and to serve as an additional information for developer in bug fixing. iDoctor aims to reduce time in reproducing issues and helps developers to resolve issues faster if the comprehensive data logging is performed. At the same time, the health of the radio can be monitored as well. As a result, this will increase customer's satisfaction and their confidence level to the company that may directly impact to the company's market share.","PeriodicalId":332420,"journal":{"name":"2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW.2013.6688864","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Reproducing issues to verify if the issues, especially reset issues, reported by customer are valid issues are tedious and time consuming. The rationale is not all issues can be reproduced and it is not easy to reproduce as some issues may be caused by hardware failure, environmental factor such as air pressure and temperature, and etc. Although the existing reset capture implemented in the radio is used to capturing this kind of intermittent defects, these dependencies are not recorded into the radio when issue happened. The reset capture is able to capture the last state of the radio before reset happens. So, the information such as, how many calls had been made before the radio hangs and resets? What is the battery level before resets? It remains unknown. This information is crucial for the issue as we need to know whether the issue happens after the first call made or after many calls made; during battery level is low or full. Hence, a Diagnostic tool is introduced in order to track radios' condition and to serve as an additional information for developer in bug fixing. iDoctor aims to reduce time in reproducing issues and helps developers to resolve issues faster if the comprehensive data logging is performed. At the same time, the health of the radio can be monitored as well. As a result, this will increase customer's satisfaction and their confidence level to the company that may directly impact to the company's market share.