The European project EvoTest (IST-33472) team has been working from 2006 till 2009 to improve this situation and this paper informs about the results.
Published in: International Journal of Software Engineering and Knowledge Engineering, No. 8/2012
Customisation and product diversity are increasing in the area of large combustion engines. Using examples in three processes, experts from Berner & Mattner Systemtechnik, Munich, Germany,
illustrate how it is possible to use methods to balance efficiency and optimisation for specific applications against time and cost pressures in order to promote sustained and efficient product development.
Published in: MTZ Industrial, Special Edition August 2012
There has been a substantial increase in the share of electronic and software-intensive monitoring
systems in railway infrastructure systems over the past few years. This has been driven by increasing legal and customer-specific requirements that can be implemented with software in a cost- and resource-efficient manner in many cases.
Published in: ETR, No. 6/2012
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The development of advanced driver assistance systems (ADAS) in vehicles is
assuming an increasingly important role due to their safety and comfort-enhancing
features. More and more, suppliers develop components and sensor systems
beyond ECU boundaries. This places special demands on development, integration
and test. Thanks to its special features, the AUTOSAR-compliant test platform
MESSINA of Berner & Mattner offers efficient validation solutions.
Published in (German): ATZExtra, Issue No. 5/2012
Search-Based Test Data Generation reformulates testing goals as fitness functions so that test input generation can be automated by some chosen search-based optimization algorithm. The optimization algorithm searches the space of potential inputs, seeking those that are “fit for purpose,” guided by the fitness function. The search space of potential inputs can be very large, even for very small systems under test. Its size is, of course, a key determining factor affecting the performance of any search-based approach.
Published in: CS Digital Library, IEEE Computer Society, Issue No. 2, March/April 2012
During the past years, evolutionary testing research has reported encouraging results for automated functional (i.e. black-box) testing. However, despite promising results, these techniques have hardly been applied to complex, real-world systems and as such, little is known about their scalability, applicability, and acceptability in industry. In this paper, we describe the empirical setup used to study the use of evolutionary functional testing in industry through two case studies, drawn from serial production development environments at Daimler and Berner & Mattner Systemtechnik, respectively.
Published in: Software Quality Journal, Issue No.: 2012-01