| dc.description.abstract | Context: Embedded systems (ES) are continuously growing in complexity and
size in the automotive industry. The embedded software makes a larger part of
the ES. Likewise, the testing process has become complex, larger, and difficult to
control. This has led to the growing demand for test methods that would help to
manage the testing process. Various methodologies are adapted in ES development.
The structured layer testing "V-Model" is one of the highly used methodologies in
ES testing. In V-Model, the testing is conducted in levels where each level focuses
on its objectives, and the testing at one stage must be completed before entering
another stage. A careful definition of test levels theoretically decreases the risk of
gaps in testing between different teams and reduces the need for redundant testing
efforts.
Aim: This study proposes a framework to evaluate the existence and quantity
of overlap and identify gaps between testing efforts at different levels of the Vdevelopment
model during the development of embedded systems.
Method: A case study was conducted at Scania CV AB, Södertälje. The firstdegree
and third-degree data collection techniques were applied to gather insights
about the testing process and systems in automotive embedded systems. Data
collection and analysis were conducted in a parallel and iterative manner. Based
on the insights gathered from data analyses, a mapping framework was designed to
identify the overlap between test cases and gaps for the requirements not tested.
The mapping framework was applied to three selected systems, and overlap and
gaps were identified. In order to evaluate if identified overlap and gaps are valid,
the results were verified by two testers from the case company.
Results: The difference of V-model adaptation at the case company from the
state of the art studied. Traceability of test cases, requirements, and functionalities
are performed for implementing the framework. The proposed framework evaluated
by applying on selected ECU (Electronic Control Unit) systems. The validation
of framework evaluation result also performed by case company testers. The research
addressed, quantitative measurements of overlaps and gaps between levels
for different systems.
Conclusion: The framework provided a promising result on identification of overlap
and gaps between test levels automotive embedded system software. The study
showed that, to identify the extent of overlap and gap between test levels, analysis
of the test cases, requirements, and functionality can be one method. This study
showed that, the proposed framework can be used for estimation of testing effort between
different levels and for evaluating requirement traceability to the test case and
functionality. The proposed framework can generally be applicable for automotive
ES in the future by including more system samples. | en_US |
