id: Simula.approve.68
authors: Andrea Arcuri
title: A Theoretical and Empirical Analysis of the Role of Test Sequence Length in Software Testing for Structural Coverage.
publication_year: 2010
abstract: In the presence of an internal state, often   a sequence of function calls is required to test software. In fact, to cover a particular branch of the code, a sequence of previous function calls might be required to put the internal state in the appropriate configuration. Internal states are not only present in object-oriented software, but also in procedural software (e.g., static variables in C programs). In the literature, there are many techniques to test this type of software. However, to the  best of our knowledge, the properties related to the choice  of the length of these sequences have received only little attention in the literature. In this paper, we analyse the role that the length plays in software testing, in particular branch coverage. We show that, on ``difficult'' software testing benchmarks, longer test sequences make their testing trivial. Hence, we argue that the choice of the length of the test sequences is very important in software testing. Theoretical analyses and empirical studies on widely used benchmarks and on an industrial software are carried out to support our claims.
publication_url: 
pdf_url: 
journal: IEEE Transactions on Software Engineering
volume: 
number: 
pages: 
pmid: 
DOI: 
keywords: ()
publication_month: 
note: 
annote: 
additional: []
location: 
publication_state: Accepted
simula_ou: [<Department at /simula/department/certus>, <Department at /simula/research/approve>]
publisher_url: 

