Reengineering embedded automotive software

Thums, Andreas; Quante, Jochen

doi:10.1109/icsm.2012.6405312

Cited by 10 publications

(8 citation statements)

References 15 publications

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“…The embedded software industry increasingly relies on model-based development methods to develop software components [1]. These components are largely developed in the Matlab/Simulink language [2].…”

Section: Introductionmentioning

confidence: 99%

Improving fault localization for Simulink models using search-based testing and prediction models

Liu

Lucia

Nejati

et al. 2017

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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Abstract-One promising way to improve the accuracy of fault localization based on statistical debugging is to increase diversity among test cases in the underlying test suite. In many practical situations, adding test cases is not a cost-free option because test oracles are developed manually or running test cases is expensive. Hence, we require to have test suites that are both diverse and small to improve debugging. In this paper, we focus on improving fault localization of Simulink models by generating test cases. We identify three test objectives that aim to increase test suite diversity. We use these objectives in a search-based algorithm to generate diversified but small test suites. To further minimize test suite sizes, we develop a prediction model to stop test generation when adding test cases is unlikely to improve fault localization. We evaluate our approach using three industrial subjects. Our results show (1) the three selected test objectives are able to significantly improve the accuracy of fault localization for small test suite sizes, and (2) our prediction model is able to maintain almost the same fault localization accuracy while reducing the average number of newly generated test cases by more than half.

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Section: Introductionmentioning

confidence: 99%

Improving fault localization for Simulink models using search-based testing and prediction models

Liu

Lucia

Nejati

et al. 2017

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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“…Similarly, the use of cyclic dependencies information did not improve the re-engineering results. A new metric called Bosch Maintainability Index (BMI) is introduced by Thums and Quante [4] to facilitate the task of understanding the code. The BMI uses questionnairebased input as well as a combination of metrics like the ones described above for the first step of identifying relevant code segments, by describing the benefit that code maintenance would bring.…”

Section: Related Workmentioning

confidence: 99%

“…In comparison to software in other domains, industrial control has to meet different requirements, e.g., regarding real-time properties, reliability, and constrained resources [3], [4]. General approaches for migration are thus often not directly applicable and have to be adapted to satisfy these requirements.…”

Section: Introductionmentioning

confidence: 99%

Migrating legacy control software to multi-core hardware

Wahler

Eidenbenz

Franke

et al. 2015

2015 IEEE International Conference on Software Maintenance and Evolution (ICSME)

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This paper reports on a case study on analyzing, structuring and re-using real-time control algorithms which represent a significant amount of intellectual property. As a starting point, legacy code written in ADA together with a Windows-based testing framework is available. The goal is to migrate the code onto a real-time multi-core platform taking advantage of technological progress.We present a tool-supported three-step approach for such legacy control software: identifying and isolating the control algorithms, preparing these algorithms and their information exchange for execution within a modern execution framework for Linux written in C ++ , and validating the solution by a) performing regression testing to ensure partial correctness and b) validating its real-time properties.

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“…Such software systems have rarely been studied but instead researches have focused on other domains such as business applications [3,4] and embedded systems [5]. In this paper we approach software in scientific and engineering domains.…”

Section: Introductionmentioning

confidence: 99%

Towards tool support for analyzing legacy systems in technical domains

Klammer

Pichler

2014

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)

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Software in technical domains contains extensive and complex computations in a highly-optimized and unstructured way. Such software systems developed and maintained over years are prone to become legacy code based on old technology and without accurate documentation. We have conducted several industrial projects to reengineer and redocument legacy systems in electrical engineering and steel making domains by means of self-provided techniques and tools. Based on this experience, we derived requirements for a toolkit to analyze legacy code in technical domains and developed a corresponding toolkit including feature location and static analysis on a multi-language level. We have applied our approach and toolkit for software systems implemented in the C++, Fortran, and PL/SQL programming languages and illustrate main benefits of our approach from these experiences.

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Reengineering embedded automotive software

Cited by 10 publications

References 15 publications

Improving fault localization for Simulink models using search-based testing and prediction models

Improving fault localization for Simulink models using search-based testing and prediction models

Migrating legacy control software to multi-core hardware

Towards tool support for analyzing legacy systems in technical domains

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