Technical papers 2012

Industrial Case Studies For Evaluating Search Based Structural Testing - Dezember 2012

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
Technical Paper

The Challenge of Variant Variety - August 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
Technical Paper

Quality Gates for Developing Software-controlled Systems - June 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
Technical Paper
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New Methods for the Development of Advanced Driver Assistance Systems - May 2012

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
 Technical Paper

Input Domain Reduction through Irrelevant Variable Removal and Its Effect on Local, Global, and Hybrid Search-Based Structural Test Data Generation - April 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
 Technical Paper

Evolutionary functional black-box testing in an industrial setting - March 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
Technical Paper