Hole analysis for functional coverage data

One of the main goals of coverage tools is to provide the user with informative presentation of coverage information. Specifically, information on large, cohesive sets of uncovered tasks with common properties is very useful. This paper describes methods for discovering and reporting large uncovered spaces (holes) for crossproduct functional coverage models. Hole analysis is a presentation method for coverage data that is both succinct and informative. Using case studies, we show how hole analysis was used to detect large uncovered spaces and improve the quality of verification. Categories and Subject Descriptors B.6.3 [Logic Design]: Design Aids--Verification; D.2.4 [Software Engineering]: Software/Program Verification; D.2.5 [Software Engineering]: Testing and Debugging--Testing tools General Terms Verification, Measurement, Algorithms, Experimentation Keywords Functional verification, Coverage analysis

• Type: Conference
• Year: 2002
• Where: DAC
• Authors: Oded Lachish, Eitan Marcus, Shmuel Ur, Avi Ziv
• Keywords: Crossproduct Functional Coverage, DAC 2002, Design Automation, Keywords Functional Verification, Large Uncovered Spaces