{"title":"Facilitating unreachable code diagnosis and debugging","authors":"Hong-Zu Chou, Kai-Hui Chang, S. Kuo","doi":"10.1109/ASPDAC.2011.5722238","DOIUrl":null,"url":null,"abstract":"Code coverage is a popular method to find design bugs and verification loopholes. However, once a piece of code is determined to be unreachable, diagnosing the cause of the problem can be challenging: since the code is unreachable, no counterexample can be returned for debugging. Therefore, engineers need to analyze the legality of nonexistent execution paths, which can be difficult. To address such a problem, we analyzed the cause of unreachability in several industrial designs and proposed a diagnosis technique that can explain the cause of unreachability. In addition, our method provides suggestions on how to solve the un-reachability problem, which can further facilitate debugging. Our experimental results show that this technique can greatly reduce an engineer's effort in analyzing unreachable code.","PeriodicalId":316253,"journal":{"name":"16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2011.5722238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Code coverage is a popular method to find design bugs and verification loopholes. However, once a piece of code is determined to be unreachable, diagnosing the cause of the problem can be challenging: since the code is unreachable, no counterexample can be returned for debugging. Therefore, engineers need to analyze the legality of nonexistent execution paths, which can be difficult. To address such a problem, we analyzed the cause of unreachability in several industrial designs and proposed a diagnosis technique that can explain the cause of unreachability. In addition, our method provides suggestions on how to solve the un-reachability problem, which can further facilitate debugging. Our experimental results show that this technique can greatly reduce an engineer's effort in analyzing unreachable code.