1 research outputs found
IntegrationDistiller: Automating Integration Analysis and Testing of Object-Oriented Applications
Software systems typically consist of various interacting components and
units. While these components can be tested and shown to work correctly in
isolation, when integrated and start interacting with each other, they may fail
to produce the desired behaviors and results. Integration testing plays an
important role in revealing issues in interactions among cooperating
components. Identifying different interaction scenarios, however, is not a
trivial task when performing integration testing. On the other hand, most of
the integration testing solutions proposed in the literature are manual which
hinders their scalability and applicability when it comes to large industrial
systems. In this paper we introduce IntegrationDistiller as an automated
solution and tool to identify integration scenarios and generate test cases (in
the form of method call sequences) for .NET applications. It works by analyzing
the code and automatically identifying class couplings, interacting methods, as
well as invocation points. Moreover, the tool also helps and supports testers
in identifying timing issues at integration level by automatic code
instrumentation at invocation points. The code analysis engine of
IntegrationDistiller is built and automated using .NET compiler platform, known
as Roslyn. Hence, this work is the first in utilizing Roslyn features for
automatic integration analysis and integration test case generation. This work
has been done as part of our collaboration with ABB Industrial Automation
Control Technologies (IACT) in V\"aster{\aa}s-Sweden to address the integration
testing challenges of the software part of the ABB Ability 800xA distributed
control systems.Comment: Accepted at the 20th IEEE International Conference on Industrial
Technology (ICIT2019