News the seams 2018 proceedings are available online at the acm digital library. An dynamic view is given by a coalgebraic presentation of adaptive transducers. Towards a classification of selfadaptive software systems. In this paper, an approach for building an external adaptation engine for selfadaptive software systems is proposed. The ubiquitous practice of testing, debugging and improving programs at the design time should be automated, and established as a continuing run time routine. Uncertainty in selfadaptive software systems 5 this model, the selfadaptive software system can be broken down into two parts.
The baselevel subsystem provides the main functionality of the software i. To alleviate the maintenance burden, self adaptive software is being studied in recent years. Self adaptive software evaluates its own behavior and changes its behavior when the evaluation indicates that the software does not accomplish what it is intended to do or when better functionality. A framework based on learning techniques for decision. Selfadaptive system an overview sciencedirect topics. A definition of self adaptive software was provided in a darpa broad agency announcement on self adaptive software baa9812 in december of 1997.
It is an extension of hybrid petri nets by embedding a neural network algorithm into them. For self adaptive software, client numbers is adjustable so that more clients can be served and qos is also kept. Weyns, in managing tradeoffs in adaptable software architectures, 2017. Selfadaptive software an architecturebased approach to selfadaptive software peyman oreizy, michael m. Most webbased software today usually fixes the number of clients to let the connected clients gain high quality service. Engineering selfadaptive software systems with runtime models symposium on future trends in serviceoriented computing potsdam, germany, june 1415, 2012. In this paper, an adaptive petri net apn is proposed to model a selfadaptive software system. In order to deal with the great diversity of execution contexts, modern software systems rely on feedback control loops and.
In this context, we distinguish between the structural and behavioural aspects of stability. The goal is to provide a repository of examples, challenge problems, and solutions that the software. Self adaptive systems artifacts and model problems. An adaptive system is a set of interacting or interdependent entities, real or abstract, forming an integrated whole that together are able to respond to environmental changes or changes in the interacting parts, in a way analogous to either continuous physiological homeostasis or evolutionary adaptation in biology. Towards a requirements speci cation multiview framework. In order to improve the quality of selfadaptive software systems, this research addresses two challenges in. Runtime test case synchronization in adaptive software.
Towards semantics of selfadaptive software on evaluating selfadaptive software mapping an application to a control architecture. Specification of the problem transient management in reconfigurable systems modelintegrated embedded systems coordination of view maintenance policy adaptation decisions. To deal with these uncertainties, a selfadaptive system continuously monitors itself. Active trust management for autonomous adaptive survivable systems atms for aasss. To address this challenge, we propose a new systematic approach for analysing and modelling architectural stability, focusing on the behavioural. Active software 11 robert laddaga continuous selfevaluation for the selfimprovement of software 27 leon j. Mpi serializer, a marshaling logic generator for mpi applications, and rosemari, an inference and transformation engine for upgrading enterprise applications.
First international workshop on self adaptive software paul robertson, robert laddaga, and howie shrobe active software robert laddaga continuous self evaluation for the self improvement of software leon j. Selfadaptive software needs quantitative veri cation at. An architecturebased approach to selfadaptive software. A exemplar can be quite generic such as an artifact or rather specific such as a model problem in self adaptive systems. Darpa board agency in 1997 as selfadaptive software. Adaptive software is specialized software designed for physically challenged users. Analysing and modelling runtime architectural stability. Modern software systems are often required to adapt their behavior at runtime in order to. Software engineering for selfadaptive systems lecture notes in computer science programming and software engineering. Towards self adaptive dynamic software architecture distributed computing technologies.
The remainder of this paper is organized as follows. The idea of self adaptive software is to implement this common facility of human mind within the framework of the standard logical methods of software engineering. Engineering self adaptive software systems with runtime models symposium on future trends in serviceoriented computing potsdam, germany, june 1415, 2012 thomas vogel hpi research school system analysis and modeling group university of potsdam, germany. The main purpose of this framework is to classify and analyze sensory data to autonomously detect and mitigate faults at runtime.
Selfadaptive system an automatic control system that preserves its operational capability under conditions of unforeseen change in the properties of the controlled system, in the control goal, or in the environment by changing its operation algorithm or searching for optimal states. Selfadaptive software modifies its own behavior in response to changes in its oper ating environment. Towards semantics of selfadaptive software request pdf. First international workshop on selfadaptive software paul robertson, robert laddaga, and howie shrobe active software robert laddaga continuous selfevaluation for the selfimprovement of software leon j. We use the term selfadaptive software to indicate that the. As a first contribution in this direction, we present a basic mathematical frameworksuitable for describing self adaptive software at a high level of semantical abstraction.
Modeling the semantics of failure context as a means to offer contextadaptive maintenance support petros pistofidis 1,2, christos emmanouilidis 1, aggelos papadopoulos 3 and pantelis n. Qualityaware approach for engineering self adaptive. Shrobe, editors, selfadaptive software, pages 4049. When people perform computations, they routinely monitor their results, and try to adapt and improve their algorithms when a need arises. In this paper, we will discuss the self adaptive software from cybernetic perspective, and propose an application serverassupported approach.
The goal is to provide a repository of examples, challenge problems, and solutions that the software engineering for selfadaptive systems community can use. Software engineering for selfadaptive systems lecture. Towards a requirements speci cation multiview framework for. Selfadaptive software evaluates its own behavior and changes its behavior when the evaluation indicates that the software does not accomplish what it is intended to do or when better functionality. In this paper, an approach for building an external adaptation engine for self adaptive software systems is proposed. Towards adaptive monitoring services for selfadaptive. Towards knowledgeintensive software engineering framework. These reconfiguring, troubleshooting, and in general maintenance tasks lead to costly and timeconsuming procedures during the operating phase. This includes robotics1, manufacturing plants, avionics, vehicle control3, sensor systems5, and others. It is commonly agreed that a selfadaptive software system is one that can modify itself at runtime due to changes in either the systems requirements or the. Dynamic plans for integration testing of selfadaptive software systems.
Self adaptive software is a response to these demands. The terms corrective and adaptive maintenance originate from software maintenance. Selfadaptive system article about selfadaptive system by. Autonomic systems, adaptive software, mapek, semantic web. All living organisms have a highly developed capacity for adaptation. The issues related to the development, analysis, maintenance, and extension are. This site contains a set of exemplars for selfadaptive systems. To assess the accuracy of our tip approach into the domain of runtime testing for self adaptive software systems, the experiment should be performed on other self adaptive system i. Moreover, as adaptive systems are encountered in many disciplines, it is imperative to learn from the theories and models developed in these other areas. Each of these views includes their concepts and associations. Toward selfadaptive software employing model predictive. Aug 18, 2011 adaptive software is specialized software designed for physically challenged users. A stable selfadaptive architecture is expected to keep the fulfilment of qos objectives stable, while performing adaptations that converge towards these objectives and eliminating unnecessary ones.
The idea of selfadaptive software is to implement this common facility of human mind within the frameworkof the standard logical methods of software engineering. Towards practical runtime verification and validation of self. Towards practical runtime verification and validation of selfadaptive software systems. A exemplar can be quite generic such as an artifact or rather specific such as a model problem in selfadaptive systems. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Software evolution and maintenance software systems that are. Modeling the semantics of failure context as a means to. A controller synthesis algorithm for building selfadaptive. In this paper, we propose the nise knowledgeintensive software engineering framework for selfadaptive system. This means that in many cases, selfadaptive software is not a good solution, because its development and maintenance costs are not paid o. Modeling selfadaptive software systems with learning. The self adaptive approach in software engineering builds on.
This collection of papers was presented at the international workshop on self adaptive software iwsas2000 held at lady margaret hall at the university of oxford between april 17th and april 19th 2000. In this paper, we propose the nise knowledgeintensive software engineering framework for self adaptive system. Clarke active trust management for autonomous adaptive survivable systems. The idea of self adaptive software is to implement this common facility of human mind within the frameworkof the standard logical methods of software engineering. Selfadaptive software first international workshop. It is also valuable for image6,7 and signal processing applications. Mechanisms for leveraging models at runtime in selfadaptive software. Lncs 7475 software engineering for selfadaptive systems.
Request pdf towards semantics of selfadaptive software when people perform computations, they routinely monitor their results, and try to adapt and improve their algorithms when a need arises. A controller synthesis algorithm for building self. Active software 11 robert laddaga continuous self evaluation for the self improvement of software 27 leon j. Analysing and modelling runtime architectural stability for. In computer science, corrective maintenance is accomplished by removing bugs from software, hardware and the network, while adaptive maintenance describes the adaptive modification of existing code to address new tasks or business opportunities.
Towards a rule model for self adaptive software qianxiang wang department of computer science, purdue university, west lafayette, in, usa. The slides of the keynote self adaptive software systems are essential for the internet of things by danny hughes are. Selfadaptive software aims to adjust various artifacts or attributes in response to changes in the self. An architecturebased approach to selfadaptive software uci. Selfadaptive software needs quantitative veri cation at runtime radu calinescu department of computer science. Toward selfadaptive software employing model predictive control nii shonan meeting on controlled adaptation of selfadaptive systems casas shonan, japan, april 2428, 2016.
Self adaptive software evaluates its own behavior and changes its behavior when the evaluation indicates that the software does not accomplish what it is intended to do or when better. Landscape and research challenges feedforward mechanisms as well e. The key aspect of self adaptive software is that code behavior is evaluated or tested at runtime. Engineering selfadaptive software systems with runtime models. Citeseerx towards semantics of selfadaptive software. In proceedings of the 6th international symposium on software engineering for adaptive and selfmanaging systems, 148157. Identifying or predicting maintenance issues and addressing. Clarke active trust management for autonomous adaptive survivable systems howard shrobe and jon doyle. Self adaptive software evaluates its own behavior and changes behavior when the evaluation indicates that it is not accomplishing what the software is intended to do, or when. Sousa, basil becker, mauro pezze, gabor karsai, serge mankovskii, wilhelm schafer, ladan tahvildari, et al.
Toward self adaptive software employing model predictive control nii shonan meeting on controlled adaptation of self adaptive systems casas shonan, japan, april 2428, 2016. Schmerl, b increasing system dependability through architecturebased selfrepair. The proposed framework adopts an ontological approach to represent knowledge for the adaptation process. Toward selfadaptive software employing model predictive control.
This site contains a set of exemplars for self adaptive systems. A framework for evaluating qualitydriven selfadaptive software. International journal of applied engineering research issn 09734562 volume. Selfadaptive software evaluates its own behavior and changes its behavior when the evaluation indicates that the software does not accomplish what it is intended to do or when better functionality or better performance is possible. Taylor, dennis heimbigner, gregory johnson, nenad medvidovic, alex quilici, david s. This survey article presents a landscape of research in self adaptive software by highlighting relevant disciplines and some prominent research projects. Section 2 discusses self adaptive software from cybernetic perspective, by analyzing the similarity between software self adaptation.
C using temporal logic to specify adaptive program semantics. Selfadaptive software first international workshop, iwsas. Pictures of seams 2018 can be found at our facebook page, particularly, here and here. Engineering selfadaptive software systems with runtime. A novel approach for building self adaptive software based on a controller synthesis algorithm is presented. Self adaptive software problems and projects request pdf. Landscape and research challenges prepared by faisal sibai for cs 895 original paper salehie, m. The selfadaptive approach in software engineering builds on. In this paper, we define self adaptive software sas, discuss paradigms for implementing sas, the core problem of self. An architecturebased approach to selfadaptation was first developed in 5.
Self adaptive software is a relatively new idea aiming at producing applications that can readily adapt in the face of changing user needs, desires and environment. Exemplars software engineering for selfadaptive systems. Towards a requirements speci cation multiview framework for selfadaptive systems. Selfadaptive software is a relatively new idea aiming at producing applications that can readily adapt in the face of changing user needs, desires and environment. This means that in many cases, self adaptive software is not a good solution, because its development and maintenance costs are not paid o. Stevens, p bidirectional model transformations in qvt.
Coordination of view maintenance policy adaptation decisions. A general overview of research and problems on self adaptive software can be found in 7,12. Selfadaptive software is a response to these demands. Seams 2018 is colocated with icse 2018 in gothenburg, sweden and will be held from may 2829, 2018. In order to improve the quality of self adaptive software systems, this research addresses two challenges in self adaptive software systems. Towards practical runtime verification and validation of. Towards a rule model for selfadaptive software qianxiang.
This software usually runs on specialized hardware. Selfadaptive system article about selfadaptive system. These changes may stem from the software systems self internal causes, e. Considering self adaptive software systems, the structure and the behaviour of the software may be affected when adaptations are taking place during runtime chomchumpol and senivongse, 2015. A novel approach for building selfadaptive software based on a controller synthesis algorithm is presented. Self adaptive software an architecturebased approach to self adaptive software peyman oreizy, michael m. Uncertainty in self adaptive software systems 5 this model, the self adaptive software system can be broken down into two parts. For selfadaptive software, client numbers is adjustable so that more clients can be served and qos is also kept. Selfadaptive software evaluates its own behavior and changes behavior when the evaluation indicates that it is not accomplishing what the software is intended to do, or when better functionality or performance is possible. A static view leads to a structure akin to the chu construction. Traditional models unable to model adaptive software systems since they deal with fixed requirements only, but cannot handle the behaviors that change at runtime in response to environmental changes. Towards semantics of selfadaptive software springerlink.
Software engineering for selfadaptive systems pp 126 cite as. Mechanisms for leveraging models at runtime in selfadaptive. In the illustrative case study there are no dependencies since there is a single goal. Selfadaptive software aims to adjust various artifacts or attributes in response. Modeling the semantics of failure context as a means to offer. Feedback loops represent a key feature of adaptive systems, such as. Integrating semantic runtime models for adaptive software systems. Software engineering for selfadaptive systems lecture notes in computer science programming and software engineering cheng, betty h. In modern software development, maintenance accounts for the majority of the total cost and effort in a software project.
Selfadaptive software evaluates its own behavior and changes behavior when the evaluation indicates that it is not accomplishing what the software is intended to do, or when better functionality or. Especially burdensome are those tasks which require applying a new technology in order to adapt an application to changed requirements or a different environment. Modeling the semantics of failure context as a means to offer context adaptive maintenance support petros pistofidis 1,2, christos emmanouilidis 1, aggelos papadopoulos 3 and pantelis n. Towards semantics of self adaptive software on evaluating self adaptive software mapping an application to a control architecture. The technical contributions of this thesis have been realized in two software tools for automated adaptive maintenance. Towards practical runtime verification and validation of selfadaptive software systems gabriel tamura, norha villegas, hausi muller, joao p. Self adaptive software evaluates its own behavior and changes its behavior when the evaluation indicates that the software does not accomplish what it is intended to do or when better functionality or better performance is possible.
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