18 citations · 52 across the 7 of their papers we have counts for
8 papers
Mutant Density: A Measure of Fault-Sensitive Complexity
Ali Parsai, Serge Demeyer
Software code complexity is a well-studied property to determine software component health. However, the existing code complexity metrics do not directly take into account the faul…
Comparing Mutation Coverage Against Branch Coverage in an Industrial Setting
Ali Parsai, Serge Demeyer
The state-of-the-practice in software development is driven by constant change fueled by continuous integration servers. Such constant change demands for frequent and fully automat…
Do Null-Type Mutation Operators Help Prevent Null-Type Faults?
Ali Parsai, Serge Demeyer
The null-type is a major source of faults in Java programs, and its overuse has a severe impact on software maintenance. Unfortunately traditional mutation testing operators do not…
C++11/14 Mutation Operators Based on Common Fault Patterns
Ali Parsai, Serge Demeyer, Seph De Busser
The C++11/14 standard offers a wealth of features aimed at helping programmers write better code. Unfortunately, some of these features may cause subtle programming faults, likely…
Dynamic Mutant Subsumption Analysis using LittleDarwin
Ali Parsai, Serge Demeyer
Many academic studies in the field of software testing rely on mutation testing to use as their comparison criteria. However, recent studies have shown that redundant mutants have…
LittleDarwin: a Feature-Rich and Extensible Mutation Testing Framework for Large and Complex Java Systems
Ali Parsai, Alessandro Murgia, Serge Demeyer
Mutation testing is a well-studied method for increasing the quality of a test suite. We designed LittleDarwin as a mutation testing framework able to cope with large and complex J…