Combinatorial Testing (CT) can detect failures triggered by interactions of parameters in the
Software Under Test (SUT) with a covering array test suite generated by some sampling …

In the past five years there has been a dramatic increase in work on Search Based Software
Engineering (SBSE), an approach to software engineering in which search based …

The idea for this book arose from a series of lectures on modern programming paradigms,
feature-oriented programming, and software product lines that are continuously held at the …

Search Based Software Testing (SBST) formulates testing as an optimisation problem, which
can be attacked using computational search techniques from the field of Search Based …

Handling large-scale software variability is still a challenge for many organizations. After
decades of research on variability management concepts, many industrial organizations …

Researchers have explored the application of combinatorial interaction testing (CIT)
methods to construct samples to drive systematic testing of software system configurations …

Large Software Product Lines (SPLs) are common in industry, thus introducing the need of
practical solutions to test them. To this end, t-wise can help to drastically reduce the number …

Combinatorial interaction testing (CIT) is a cost-effective sampling technique for discovering
interaction faults in highly-configurable systems. Constrained CIT extends the technique to …

Software Product Lines (SPL) are difficult to validate due to combinatorics induced by
variability across their features. This leads to combinatorial explosion of the number of …

This paper proposes a novel hybrid t-way test generation strategy (where t indicates
interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as …