Nonparametric estimation of first passage time distributions in flowgraph models

Statistical flowgraphs represent multistate semi-Markov processes using integral transforms of transition time distributions between adjacent states; these are combined algebraically and inverted to derive parametric estimates for first passage time distributions between nonadjacent states. This dissertation extends previous work in the field by developing estimation methods for flowgraphs using empirical transforms based on sample data, with no assumption of specific parametric probability models for transition times. We prove strong convergence of empirical flowgraph results to the exact parametric results; develop alternatives for numerical inversion of empirical transforms and compare them in terms of computational complexity, accuracy, and ability to determine error bounds; discuss (with examples) the difficulties of determining confidence bands for distribution estimates obtained in this way; develop confidence intervals for moment-based quantities such as the mean; and show how methods based on empirical transforms can be modified to accommodate censored data. Several applications of the nonparametric method, based on reliability and survival data, are presented in detail

Development of a framework for automated systematic testing of safety-critical embedded systems

“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”In this paper we introduce the development of a framework for testing safety-critical embedded systems based on the concepts of model-based testing. In model-based testing the test cases are derived from a model of the system under test. In our approach the model is an automaton model that is automatically extracted from the C-source code of the system under test. Beside random test data generation the test case generation uses formal methods, in detail model checking techniques. To find appropriate test cases we use the requirements defined in the system specification. To cover further execution paths we developed an additional, to our best knowledge, novel method based on special structural coverage criteria. We present preliminary results on the model extraction using a concrete industrial case study from the automotive domain

Workshop on Verification and Theorem Proving for Continuous Systems (NetCA Workshop 2005)

Oxford, UK, 26 August 200

Robotic workcell analysis and object level programming

For many years robots have been programmed at manipulator or joint level without any real thought to the implementation of sensing until errors occur during program execution. For the control of complex, or multiple robot workcells, programming must be carried out at a higher level, taking into account the possibility of error occurrence. This requires the integration of decision information based on sensory data.Aspects of robotic workcell control are explored during this work with the object of integrating the results of sensor outputs to facilitate error recovery for the purposes of achieving completely autonomous operation.Network theory is used for the development of analysis techniques based on stochastic data. Object level programming is implemented using Markov chain theory to provide fully sensor integrated robot workcell control

Compile-Time Analysis and Specialization of Clocks in Concurrent Programs

Clocks are a mechanism for providing synchronization barriers in concurrent programming languages. They are usually implemented using primitive communication mechanisms and thus spare the programmer from reasoning about low-level implementation details such as remote procedure calls and error conditions. Clocks provide flexibility, but programs often use them in specific ways that do not require their full implementation. In this paper, we describe a tool that mitigates the overhead of general-purpose clocks by statically analyzing how programs use them and choosing optimized implementations when available. We tackle the clock implementation in the standard library of the X10 programming language—a parallel, distributed object-oriented language. We report our findings for a small set of analyses and benchmarks. Our tool only adds a few seconds to analysis time, making it practical to use as part of a compilation chain

Generating Test Sequences and Slices for Simulink/Stateflow Models

In a typical software development project more than 50 percent of software development effort is spent in testing phase. Test case design as well as execution consumes a lot of time. So automated generation of test cases is highly required. In our thesis we generated test sequences from Simulink/Stateflow, which is used to develop Embedded control systems. Testing of these systems is very important in order to provide error free systems as well as quality assurance. For these purpose Test cases are used to test the systems. We developed the test sequences which are use to generate test cases. First, we represent the System using Simulink/Stateflow models. For this purpose normally we use Simulink tool, which is available in the MATLAB. We developed the dependency graph from the SL/SF model. For Simulink part of the model we use Out put dependency and for the Stateflow part of the model we use Control dependency graph. From those graphs we generate the test sequences. Simulink/Stateflow models often consist of more than ten thousand blocks and a large number of hierarchi-cal levels. In this, we present an approach for slicing Simulink/Stateflow models using dependence graphs from the automotive and avionics do-main. With slicing, the complexity of a model can be reduced to a given point of interest by removing unrelated model elements

Ensuring critical event sequences in high consequence computer based systems as inspired by path expressions

The goal of our work is to provide a high level of confidence that critical software driven event sequences are maintained in the face of hardware failures, malevolent attacks and harsh or unstable operating environments. This will be accomplished by providing dynamic fault management measures directly to the software developer and to their varied development environments. The methodology employed here is inspired by previous work in path expressions. This paper discusses the perceived problems, a brief overview of path expressions, the proposed methods, and a discussion of the differences between the proposed methods and traditional path expression usage and implementation

Aspects of Availability Enforcing timed properties to prevent denial of service

We propose a domain-specific aspect language to prevent denial of service caused by resource management. Our aspects specify availability policies by enforcing time limits in the allocation of resources. In our language, aspects can be seen as formal timed properties on execution traces. Programs and aspects are specified as timed automata and the weaving process as an automata product. The benefit of this formal approach is two-fold: the user keeps the semantic impact of weaving under control and (s)he can use a model-checker to optimize the woven program and verify availability properties

An extensive English language bibliography on graph theory and its applications

Bibliography on graph theory and its application