— 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 p...
An important goal of automatic testing techniques, including random testing is to achieve high code coverage with a minimum set of test cases. To meet this goal, random testing res...
The estimation of reliability of modules using code coverage is motivated by a two-phase method for estimating the quality of software using static structure and predicted quality...
Code coverage analysis, the process of finding code exercised by a particular set of test inputs, is an important component of software development and verification. Most tradit...
Alex Shye, Matthew Iyer, Vijay Janapa Reddi, Danie...
Code prioritization for testing promises to achieve the maximum testing coverage with the least cost. This paper presents an innovative method to provide hints on which part of co...
Testing a large-scale, real-life commercial software application is a very challenging task due to the constant changes in the software, the involvement of multiple programmers an...
Recently, tools for the analysis and visualization of code coverage have become widely available. At first glance, their value in assessing and improving the quality of automated ...
Abstract— Time-to-Market plays a central role on System-ona-Chip (SoC) competitiveness and the quality of the final product is a matter of concern as well. As SoCs complexity in...
Code coverage is a common aid in the testing process. It is generally used for marking the source code segments that were executed and, more importantly, those that were not execu...
Yoram Adler, Eitan Farchi, Moshe Klausner, Dan Pel...
Code coverage is a common measure for quantitatively assessing the quality of software testing. Code coverage indicates the fraction of code that is actually executed by tests in ...
Yoram Adler, Eitan Farchi, Moshe Klausner, Dan Pel...