Model-based development of dynamically adaptive software and hardware

Adaptive software development lifecycle tutorialspoint. Msucse0524, computer science and engineering, michigan state university, east lansing, michigan, september 2005. It provides stateofthe art surveys of important aspects of adaptive embedded systems, including system architecture, software architecture, system design, and control strategies. The development of reliable software systems requires extensive effort. Modelbased design of adaptive embedded systems request pdf. Pdf a dynamically adaptive parallelization model based. A modelbased framework for adaptive resource management in. In this paper, we propose a modelbased software development methodology for selfadaptive power consumption. The bottom layer of this architecture is the component control layer which contains the systems applicationlevel functionality. The development of the control system model directly on the production level hardware system is more efficient in both time to market and cost. Modelbased development of dynamically adaptive software conference paper pdf available in proceedings international conference on software engineering 2006.

A comprehensive solution for applicationlevel adaptation. The generic modeling environment gme is a configurable graphical modeling environment that supports building multiaspect, hierarchical models. The introduction of modelbased software development in the automotive industry was an essential change that is now well established. With cbd, the focus shifts from software programming to software system composing. Model based development of adaptive embedded systems focuses on the development of adaptive embedded systems both from an architectural and methodological point of view. Using relax, sysml and kaos for ambient systems requirements. A development process based on variability modeling for. Validating codelevel behavior of dynamic adaptive systems in. Better use of the existing hardware resources can be achieved through adaptive activation and deactivation of the software based functions in specific driving situations. When software and hardware implementation requirements are included, such as fixedpoint and timing behavior, you can automatically generate code for embedded deployment and create test benches for system verification, saving time and avoiding the introduction. Use features like bookmarks, note taking and highlighting while reading model based design of adaptive embedded systems.

Cheng, modelbased development of dynamically adaptive. Model checking is successfully used in hardware development and begins now to be used also. Proceedings of the 28th international conference on software engineering, new york usa, acm 2006 371 380. Modelbased development mbd is a paradigm in which software and systems development are focused on highlevel executable models of the system to be fielded.

Model based design and evolution in model based software design and development, software modeling is used as an essential part of the software development process. Sep 01, 2014 in terms of model based approaches kramer and magee 15 have proposed layered reference architecture for self adaptive software. Modelbased testing using realtime adaptive simulator. The team aspects also were added to these practices. Model based development of adaptive embedded systems is targeted at both academic researchers and industrial practitioners. It provides state of the art surveys of important aspects of adaptive embedded systems, including system architecture, software architecture, system design, and control strategies. Fleurey received a phd in computer science from the university of rennes 1. Most of research works 23,29,33,37 have focused on the structural changes of adaptive software. For example, a video streaming system may select different compression algorithms depending on data rates and communication quality. The acap platform is dynamically customizable at the hardware and software levels to fit a wide range of applications and adapt to evolving algorithms and industry standards. Traditional parallelizing compilers, however, often cannot extract much of the available.

However, its adoption is limited by costly design effort, including verification and validation, which is even more complex than for nondynamically reconfigurable systems. C modelbased development of dynamically adaptive soft ware. Modelbased design for high integrity software development. Proceedings of the eighth international workshop on hardwaresoftware codesign, san diego, california, united states, pp. Componentbased development cbd is a procedure that accentuates the design and development of computerbased systems with the help of reusable software components. Modelbased development of an adaptive vehicle stability. Future vehicle software architectures fraunhofer iks. Illustrated is a system and method for executing a checkpoint scheme as part of processing a workload using an application. Testing dynamically adaptive systems is extremely challenging because both the structure and behavior of the system may change during its execution.

Modeling and simulation are valuable for testing conditions that are difficult to reproduce with hardware prototypes alone. D33 specification of iso26262 safety goals for self. After adaptation occurs in autonomic software, a predefined test set may no longer be applicable due to changes in the program structure. Modelbased development of dynamically adaptive software. Computationintensive network security functions, implemented as recon. Models are built and analyzed prior to the implementation of the system, and are used to direct the subsequent implementation. A small tabletop, dynamically tunable, mimo sdr solution. Modeling is a way to create a virtual representation of a realworld system. The autosar adaptive platform is the basis for networked automotive ecus. Proceedings of 28th international conference on software engineering, shanghai, 2006. Modelbased validation of automotive software product lines using instrumentationbased verification talk structure modeling in automotive software development instrumentationbased verification product lines an approach to productline validation conclusions 2. Pdf a dynamically adaptive parallelization model based on. Statemachine diagrams described by executable uml 4 are linked to the feature model.

Use features like bookmarks, note taking and highlighting while reading modelbased design of adaptive embedded systems. Preevision modelbased electricelectronic development vector. Download it once and read it on your kindle device, pc, phones or tablets. Us8627143b2 dynamically modeling and selecting a checkpoint. Model based design of adaptive embedded systems kindle edition by twan basten, roelof hamberg, frans reckers, jacques verriet. Modelbased development for control software development.

For the evolution to be trusted, it is crucial to keep the process consistent with the specification. His research interests include modeldriven software engineering, embedded systems, and dynamic adaptive systems. The methodologies that allowed this change are modelbased, thus relieving the human from detailed coding. An iterative method for algorithms implementation on a.

Development of safetycritical computerbased systems. B u s a dn 2e y bour n l1 ab o rtye,f c ul fs ie n sm5019 t l2 ab o rt yle 2i,u niv es f b ug d 1 0 d j f c l3 ab orty c. Model based testing using realtime adaptive simulator. Adaptive systems, modelbased development, formal veri. Model based development of dynamically adaptive software, icse 06. Introduction to modelbased design for high integrity software development in this first webinar in the series, we introduce modelbased design and discuss why it can provide value over traditional software development processes in certification workflows. A dprs is a hardware software embedded system capable of reconfiguring new hardware functions into the system at runtime, and mainly consists of a microprocessor, an fpga, and a hardware software communication interface. The adaptive intelligent engines ai engines on the versal acap ai core series have been opti.

To learn more about this topic and the automotive related design activity at the design automation conference, go to embedding hardware and software into nextgen auto designs. Jim highsmith published adaptive software development in 2000. Compsac 06 proceedings of the 30th annual international computer software and applications conference volume 01 pages 299306 september 17 21, 2006 ieee computer society washington, dc, usa 2006 table of contents isbn. Preevision is the premier tool for modelbased development of distributed, embedded systems in the automotive. An approach for developing adaptive, mobile applications with. Ii, we sketch our modelbased method to create control software of simulated resp. The aim of agile principles is to have adaptive software development only for simple and small size software projects. This is followed by an analysis of benefits and detriments of modelbased development. Model driven development and model based engineering in automation and mechatronic systems. It is used in many motion control, industrial equipment, aerospace, and automotive applications. To assist in research and application development, nutaq offers the following sdr development platforms. Validating codelevel behavior of dynamic adaptive systems. Cheng, modelbased development of dynamically adaptive software, tech.

Sep 22, 2014 testing dynamically adaptive systems is extremely challenging because both the structure and behavior of the system may change during its execution. The sbc is the motorola mbx860 singleboard computer 7. The autosar adaptive platform and the introduction of powerful, microprocessor pbased vehicle computers vcs will bring about fundamental changes to both software and development processes. Is modelbased development a favorable approach for. Simulationdriven development of selfadaptive transportation.

An improved xp software development process model m. Model based verification of dynamically evolvable service. Adaptive software development has been an emerging research area. Modelbased design and evolution in modelbased software design and development, software modeling is used as an essential part of the software development process. Using models at runtime to address assurance for selfadaptive. Better use of the existing hardware resources can be achieved through adaptive activation and deactivation of the softwarebased functions in specific driving situations. Modeldriven development of adaptive iot systems ceur.

Modelbased design mbd is a mathematical and visual method of addressing problems associated with designing complex control, signal processing and communication systems. An adaptive software system is built in such a way that allows the dynamic. Modelbased design of adaptive embedded systems, twan basten. Our approach separates the adaptation behavior and non.

Speed the development, validation, and verification of do178b certified helicopter flight software solution use modelbased design to model the system design and software design, and to generate flight code results software testing time cut by twothirds requirements stabilized earlier certified flight software automatically generated. Runtime test case synchronization in adaptive software. Dspl engineering approach, have been proposed that exploit spl models and techniques in the development of dierent systems such as serviceoriented and. Modelbased design is transforming the way engineers and scientists work by moving design tasks from the lab and field to the desktop. The developer will save on costly prototyping hardware, costly development software tools, multiple engineering discipline requirements and longer development cycles. A control system is dynamically built directly on a target hardware system. Pdf modelbased development of dynamically adaptive software. The paper ends with an overall assessment of the approach and conclusions drawn from the analysis. A dprs is a hardwaresoftware embedded system capable of reconfiguring new hardware functions into the system at runtime, and mainly consists of a microprocessor, an fpga, and a hardwaresoftware communication interface. Modelbased development of dynamically adaptive software ji zhang and betty h. These changes will also extend to the platform software and development tools. Companies from new zealand to canada, for a wide range of project and product types, have used adaptive software development. Ready for autosar adaptive realtimes issue 20192020.

As a solution, we proposed a novel umlbased hardwaresoftware codesign platform ucop targeting at dynamically partially recon. Modelbased design is a methodology applied in designing embedded software. Technological refers to both software and hardware aspects that. Increased reliability without sacrificing efficiency. Before introducing the proposed mpc methodology, we first introduce the design of a dynamically partially reconfigurable system dprs.

Buy modelbased design of adaptive embedded systems book. Modelbased design of correct controllers for dynamically. A host application on a host computer provides an interface to download configuration building blocks for the control system directly onto the target hardware. Us20100115255a1 system and method of dynamically building a. Much of the novel developments in this area have been presented in venues such as. Adaptive software development has evolved from rad practices. Increasingly, software should dynamically adapt its behavior at runtime in response to changing conditions in the supporting computing and communication infrastructure, and in the surrounding physical environment. A methodology to develop energy adaptive software using. Taking wireless infrastructure systems design from 3g to 5g. It embodies the principle that continuous adaptation of the process to the work at hand is the normal state of affairs. Cheng software engineering and network systems laboratory department of computer science and engineering. A comprehensive solution for application level adaptation.

A methodology to develop energy adaptive software using model. The different versions of a system as it evolves can be. Adaptive software development asd is a software development process that grew out of the work by jim highsmith and sam bayer on rapid application development rad. Modelbased development of adaptive embedded systems is targeted at both academic researchers and industrial practitioners. The system and method also includes identifying a checkpoint event that requires an additional checkpoint scheme. His research interests include model driven software engineering, embedded systems, and dynamic adaptive systems. A wide variety of application programs have inherent looplevel parallelism that can be exploited on sharedmemory multiprocessor systems for performance improvement. Railroad model logical arrangement of hardware modules. The host application is used to define building block type and connectivity. This work first addresses the problem of extracting looplevel parallelism. In the near future, softwareintensive systems will exhibit adaptive and anticipatory.

In order for an adaptive program to be trusted, it is important to have mechanisms to ensure that the. Theory and design methods for systematic integration of dynamic, datadriven operation into stream mining systems. The relationship between sdr, adaptive radio, cognitive radio, and intelligent radio is shown in the following diagram. Dynamically reconfigurable hardware has been identified as a promising solution for the design of energyefficient embedded systems. Modelbased software engineering to tame the iot jungle. These models allow a wide range of exploration and analysis including highfidelity simulation, testcase generation, and even proofs to be performed at low cost early in development cycles. The main contribution of this position paper is the presentation of a software adaptation. Digitally evolving models for dynamically adaptive systems. Validating codelevel behavior of dynamic adaptive systems in the face of uncertainty. Ii, we sketch our model based method to create control software of simulated resp.

Modelbased design of adaptive embedded systems kindle edition by twan basten, roelof hamberg, frans reckers, jacques verriet. Advanced machine learning concepts and methods for development of adaptive software systems on resource constrained heterogeneous platforms. Consequently, safety and availability are major requirements for such softwarebased functions. Softwareintensive systems will act as global computers in highly dynamic. We conclude with a discussion on assessment of readiness of controller functions, according to iso 26262. Parallelizing compilers are available that can automatically identify and extract some of the looplevel parallelism in sequential programs. Cheng, modular verification of dynamically adaptive systems, proceedings of the 8th acm international conference on aspectoriented software development, march 0206, 2009, charlottesville, virginia, usa. A selfadaptive software system modifies its behavior at runtime in. This thesis proposes a dynamically adaptive parallelization model based on speculative multithreading for multiprogrammed sharedmemory multiprocessor systems to address the problems associated with traditional parallelizing compilers.

Jun 04, 2014 to read more of this article and to leave comments, go to modelbased design. Knowledge based systems, ontologies and semantic web in automation systems. A major advantage of the standard is the ability to develop ecu applications independently of each other in distributed workgroups and to download software in the field ota. Modelbased development of automotive embedded software in. Modelbased design of adaptive embedded systems, twan. Abstractadaptive software is a class of software which is able to dynamically modify at runtime its own internal structure and hence its behavior in response to changes in its operating environment.

Techniques are needed to make dass more resilient to system and environmental uncertainty. We address the impact the standard has had on modelbased development with simulink, as well as the requirements for model and software architecture in safetycritical software. Modelbased design for do178c software development with. Machine learning, artificial intelligence and big data technologies. Development of a model based design environment for specification, analysis, simulation, and synthesis of dynamically adaptive, hardware software systems. Seams 07 proceedings of the 2007 international workshop on software engineering for adaptive and self. Seams 07 proceedings of the 2007 international workshop on software engineering for adaptive and. Ready for autosar adaptive realtimes issue 20192020 etas. You can simulate this virtual representation under a wide range of conditions to see how it behaves. Modelbased platformspecific codesign methodology for. This paper introduces an approach to create formal models for the behavior of adaptive programs.

Modelbased development of dynamically adaptive software, icse 06. In this paper, we study two kinds of evolution scenarios and propose a novel verification approach based on hierarchical timed automata to model check the underlying consistency with the specification. Dynamic evolution is highly desirable for service oriented systems in open environments. Microprocessor execution control of the system as well as block priority can. A comprehensive solution for application software mode. Development of a modelbased design environment for specification, analysis, simulation, and synthesis of dynamically adaptive, hardwaresoftware systems. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Selfadaptation is emerging as an increasingly important capability for many applications, particularly those deployed in dynamically changing environments, such as ecosystem monitoring and disaster management. Today, automotive software development is driven by two even more fundamental changes. Model based development of dynamically adaptive software.