We study the relative efficiencies of the random and systematic approaches to automated
software testing. Using a simple but realistic set of assumptions, we propose a general …

The aim of automated program testing is to gain confidence about a program's correctness
by sampling its input space. The sampling process can be either systematic or random. For …

We examine the statistical variability of three commonly used software testing effectiveness
measures—the E-measure (expected number of failures detected), P-measure (probability …

A substantial amount of work has shed light on whether random testing is actually a useful
testing technique. Despite its simplicity, several successful real-world applications have …

Statistical testing has been shown to be more efficient at detecting faults in software than
other methods of dynamic testing such as random and structural testing. Test data are …

There has been a lot of work to shed light on whether random testing is actually a useful
testing technique. Despite its simplicity, several successful real-world applications appear in …

The automation of software testing promises to delegate to machines what is otherwise the
most labor-intensive and expensive part of software development. The past decade has …

“This book fills a huge gap in our knowledge of software testing. It does an excellent job
describing how test automation differs from other test activities, and clearly lays out what …

There is a documented gap between academic and practitioner views on software testing.
This paper tries to close the gap by investigating both views regarding the benefits and limits …

Where the creation, understanding, and assessment of software testing and regression
testing techniques are concerned, controlled experimentation is an indispensable research …