A component-oriented programming framework for developing embedded mobile robot software using PECOS model

A practical framework for component-based software engineering of embedded real-time systems, particularly for autonomous mobile robot embedded software development using PECOS component model is proposed The main features of this framework are: (1) use graphical representation for components definition and composition; (2) target C language for optimal code generation with small micro-controller; and (3) does not requires run-time support except for real-time kernel. Real-time implementation indicates that, the PECOS component model together with the proposed framework is suitable for resource constrained embedded systems

AutoMoDe – A Transformation Based Approach for the Model-based Design of Embedded Automotive Software

International audienceThe AutoMoDe approach manages the complexity of embedded automotive systems by employing a stream-based development paradigm which is specifically tailored to embedded automotive real-time systems. In this paper the tailoring process is explained by transforming a traction control system from a stream-based model to an embedded real-time software model and afterwards integrating the software model on an embedded automotive rapid development hardware

Interval Slopes as Numerical Abstract Domain for Floating-Point Variables

The design of embedded control systems is mainly done with model-based tools such as Matlab/Simulink. Numerical simulation is the central technique of development and verification of such tools. Floating-point arithmetic, that is well-known to only provide approximated results, is omnipresent in this activity. In order to validate the behaviors of numerical simulations using abstract interpretation-based static analysis, we present, theoretically and with experiments, a new partially relational abstract domain dedicated to floating-point variables. It comes from interval expansion of non-linear functions using slopes and it is able to mimic all the behaviors of the floating-point arithmetic. Hence it is adapted to prove the absence of run-time errors or to analyze the numerical precision of embedded control systems

Systematic Testing of Embedded Automotive Software - The Classification-Tree Method for Embedded Systems (CTM/ES)

The software embedded in automotive control systems increasingly determines the functionality and properties of present-day motor vehicles. The development and test process of the systems and the software embedded becomes the limiting factor. While these challenges, on the development side, are met by employing model-based specification, design, and implementation techniques [KCF+04], satisfactory solutions on the testing side are slow in arriving. With regard to the systematic selection (test design) and the description of test scenarios especially, there is a lot of room for improvement. Thus, a main goal is to effectively minimize these deficits by creating an efficient procedure for the selection and description of test scenarios for embedded automotive software and its integration in the model-based development process. The realization of this idea involves the combination of a classical software testing procedure with a technology, prevalent in the automotive industry, which is used for the description of time-dependent stimuli signals. The result of this combination is the classification-tree method for embedded systems, CTM/ES [Con04]. The classification-tree method for embedded systems complements model-based development by employing a novel approach to the systematic selection and description of the test scenarios for the software embedded in the control systems. CTM/ES allows for the graphic representation of time-variable test scenarios on different levels of abstraction: A problem-oriented, compact representation, adequate for a human tester and containing a high potential for reusability, is gradually being transformed into a solution-oriented technical representation which is suited for the test objects\u27 stimulation. The CTM/ES notation facilitates a consistent representation of test scenarios which may result from different test design techniques. The test design technique which this method is primarily based on, is a data-oriented partitioning of the input domain in equivalence classes. Secondary test design techniques are, for instance, the testing of specific values (or value courses) or requirement-based testing. A domain-specific application pragmatics in the form of agendas supports the methodical execution of individual test activities and the interaction of different test design techniques. The methodology description leads up to an effective test strategy for model-based testing, combining the classification-tree method for embedded systems with structural testing on the model level, and accommodating the different forms of representation of the test object during model-based development. Systems which have been developed in a model-based way can be tested systematically and efficiently by means of the CTM/ES and the tools based thereon, such as the classification-tree editor for embedded systems CTE/ES [CTE/ES], as well as the model-based test environment MTest [LBE+04, MTest]

Incremental bounded model checking for embedded software

Program analysis is on the brink of mainstream usage in embedded systems development. Formal verification of behavioural requirements, finding runtime errors and test case generation are some of the most common applications of automated verification tools based on bounded model checking (BMC). Existing industrial tools for embedded software use an off-the-shelf bounded model checker and apply it iteratively to verify the program with an increasing number of unwindings. This approach unnecessarily wastes time repeating work that has already been done and fails to exploit the power of incremental SAT solving. This article reports on the extension of the software model checker CBMC to support incremental BMC and its successful integration with the industrial embedded software verification tool BTC EMBEDDED TESTER. We present an extensive evaluation over large industrial embedded programs, mainly from the automotive industry. We show that incremental BMC cuts runtimes by one order of magnitude in comparison to the standard non-incremental approach, enabling the application of formal verification to large and complex embedded software. We furthermore report promising results on analysing programs with arbitrary loop structure using incremental BMC, demonstrating its applicability and potential to verify general software beyond the embedded domain