It is commonly agreed that a selfadaptive software system is one that can modify itself at runtime due to changes in the system, its requirements, or the. Selfadaptive systems are capable of modifying their runtime behavior in order to achieve system objectives. Software engineering for selfadaptive systems lecture notes. The 15th edition of the international symposium on software engineering for adaptive and self managing systems will be colocated with icse 2020 and will be held in seoul, south korea on may 2526, 2020. Modern society is increasingly filled with software intensive systems, which are required to operate in more and more dynamic and uncertain environments. Selfadaptive systems therefore can often be considered as adding closedloop control, where the selfadaptive elements are the control and the system being adapted is the plant.
Many presentday automatic control systems also have certain adaptation and self optimization capabilities. More recently, they also have been adopted for engineering selfadaptive software systems. In a selfadjusting system though, the parameter value depends on the history of the system dynamics. Selfadaptive software is a response to these demands. More than two decades of research have demonstrated an increasing need for software systems to be self adaptive. Pdf on designing selfadaptive software systems gabriel. An evaluation of multimodel self managing control schemes for adaptive performance management of software systems tharindu patikirikorala, alan colman, jun han, liuping wang pages 26782696. One of the most important qualities of selfadjusting systems is its adaptation to the edge of chaos or ability to avoid chaos. Self adaptive systems therefore can often be considered as adding closedloop control, where the self adaptive elements are the control and the system being adapted is the plant. Selfadaptive system article about selfadaptive system by. Modeldriven engineering of selfadaptive software with eurema. The topic of self adaptive and self managing systems has been studied in a variety of application areas, including autonomic computing, robotics, control systems, programming languages, software architectures, faulttolerant computing, and biological computing.
A framework for evaluating qualitydriven selfadaptive software systems. In this paper, an adaptive petri net apn is proposed to model a self adaptive software system. A survey and taxonomy of selfaware and selfadaptive cloud autoscaling systems. Engineering adaptive software systems communications of nii.
As an example, a selfadaptive web application may deactivate its resourceintensive recommender engine in order to maintain its performance requirements when faced with a sudden increase in workload. As of 1975, self aligning systems were the most widely used. Selfadaptive system article about selfadaptive system. However, obtaining sound and explicit mappings consistently. Although the self adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognized its key role in enabling the development of future software systems that are able to self adapt to changes that may. It was established in 2006 at the international conference on software engineering icse. A testing scheme for selfadaptive software systems with. Architectural stability of selfadaptive software systems by maria mourad ebeid meleka salama a thesis submitted to the university of birmingham for the degree of doctor of philosophy school of computer science college of engineering and physical sciences the university of birmingham july 2018.
An increasingly important requirement for softwareintensive systems is the ability to selfmanage by adapting at runtime to handle such things as resource. Software systems in domains like smart cities, the internet of things or autonomous cars are coined by a high degree of distribution across several indepen decentrally coordinated execution of adaptations in distributed self adaptive software systems ieee conference publication. It is an extension of hybrid petri nets by embedding a neural network algorithm into them. The system uses the additional data to resolve uncertainties, to reason about itself, and based on its goals to reconfigure or adjust itself to satisfy the changing conditions, or if necessary to degrade gracefully. Engineering selfadaptive systems through feedback loops 51 feedback loops have been recognized as important factors in software process management and improvement or software evolution. Engineering selfadaptive systems through feedback loops. The workshop on software engineering for adaptive and self managing systems seams is an academic conference for exchanging research results and experiences in the areas of autonomic computing, self managing, self healing, self optimizing, self configuring, and self adaptive systems theory. Modeldriven engineering of selfadaptive software with. Unfortunately, the latter types of control loops are far more common.
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. This has motivated the development of selfadaptive software systems. This book discusses the problems and challenges in the interdisciplinary research field of selfadaptive software systems. Toward evaluating the impact of self adaptation on security control certification, a. Selfadaptive software systems monitor their operation and adapt when their requirements fail due to unexpected phenomena in their environment.
A selfadaptive system is equipped with capabilities to observe itself and its environment in order to make autonomous decisions on how to. Self adaptive systems artifacts and model problems. Selfadaptive and online qos modeling for cloudbased software services. Control strategies for selfadaptive software systems. Exemplars software engineering for selfadaptive systems. Software engineering of selfadaptive systems springerlink. Architectural stability of self adaptive software systems by maria mourad ebeid meleka salama a thesis submitted to the university of birmingham for the degree of doctor of philosophy school of computer science college of engineering and physical sciences the university of birmingham july 2018. 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. Depending on the methods of adaptation used, self adaptive systems are classified as self aligning, self learning, and self organizing systems.
The evaluation approaches for selfadaptive systems proposed so far in the scientific literature may be analyzed from various points of view. A research roadmap 15 control engineering has determined that systems with a single control loop are easier to reason about than systems with multiple loops. Welcome to the website of the symposium on software engineering for adaptive and selfmanaging systems 2019 conference. An evaluation of multimodel selfmanaging control schemes for adaptive performance management of software systems tharindu patikirikorala, alan colman, jun han, liuping wang pages 26782696. A exemplar can be quite generic such as an artifact or rather specific such as a model problem in self adaptive systems. Selfadaptation carnegie mellon school of computer science.
A system is openadap tive if new application behaviors and adaptation plans can be introduced dur ing 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. This book discusses the problems and challenges in the interdisciplinary research field of self adaptive software systems. The goal of this roadmap paper is to summarize the stateoftheart and to identify critical challenges for the systematic software engineering of self adaptive systems. An architecturebased approach to selfadaptive software uci. Modern society is increasingly filled with softwareintensive systems, which are required to operate in more and more dynamic and uncertain environments. This talk will explore the opportunities that datadriven ai offers in building selfadaptive software systems. Autoadjusting selfadaptive software systems ieee conference. In this context, dynamic software product line is an engineering approach for developing self adaptive systems based on commonalities and variabilities for a family of similar systems. Software engineering for selfadaptive systems lecture notes in computer science programming and.
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. Pdf on designing selfadaptive software systems researchgate. Selfadaptive system an overview sciencedirect topics. Selfadaptive systems are capable of modifying their runtime behavior in order. Modeling dimensions of selfadaptive software systems. Welcome to the website on software engineering for selfadaptive systems. The goal of this roadmap paper is to summarize the stateoftheart and to identify critical challenges for the systematic software engineering of selfadaptive systems. Citeseerx reflecting on selfadaptive software systems. Selfadaptive systems can cope with changes in their operating environment by modifying their structure and behavior at run time. Robustnessdriven resilience evaluation of selfadaptive software systems javier camara, rog. An architecturebased approach to selfadaptive software. Selfadaptive software modifies its own behavior in response to changes in its oper ating environment. International seminar, dagstuhl castle, germany, december 1519, 20, revised. Cheng, automated generation of adaptive test plans for selfadaptive systems, in proceedings of the 10th international symposium on software engineering for adaptive and selfmanaging systems seams.
Software engineering for selfadaptive systems lecture. This site contains a set of exemplars for self adaptive systems. Assuming any selfadaptive system is composed of a managed system which implements the system s functionality and a managing system the controller, which implements the selfadaptive functionality, such as fig. This site contains a set of exemplars for selfadaptive systems. This website provides information about software engineering for self adaptive systems. Uncertainty in self adaptive software systems 5 this model, the self adaptive software system can be broken down into two parts. Welcome to the website on software engineering for self adaptive systems. A major challenge for modern software systems is to become more costeffective, while being. Software engineering for self adaptive systems lecture notes in computer science programming and software engineering lecture notes in computer science 5525 cheng, betty h. Welcome to the website of the symposium on software engineering for adaptive and self managing systems 2019 conference. In an adaptive system, a parameter changes slowly and has no preferred value.
Planning is one of the fundamental design considerations when building a self adaptive software system. To that end, over the past decade, researchers and practitioners have developed a variety of methodologies and frameworks that are intended to serve as guidelines for the design and development of software systems with such characteristics 191014, which are named in this paper as selfadaptive software. Software engineering for selfadaptive systems lecture notes in computer science programming and software engineering lecture notes in computer science 5525 cheng, betty h. The objective of seams is to bring together researchers and practitioners from diverse areas to investigate, discuss, and examine the fundamental principles, the state of the art, and critical challenges of engineering selfadaptive and selfmanaging systems. These interpretations take the stance of the external observer and look at a self adaptive system as one that can handle changing external conditions, resources. In this research area, we are investigating foundations, frameworks, and techniques for developing selfadaptive systems, using a controlsystems paradigm. From requirements to model predictive control article pdf available in acm transactions on autonomous and adaptive systems 1. Landscape and research challenges feedforward mechanisms as well e. Planning helps the adaptive system to determine an appropriate course of action at run time that seeks to change the systems behavior in response to faults, changing environments and security threats. Depending on the methods of adaptation used, selfadaptive systems are classified as selfaligning, selflearning, and selforganizing systems. Selfadaptability has been proposed as an effective approach to automate the complexity associated with the management of modernday software systems. In this paper, we attempt to alleviate this issue by exploring the crucial role of computational reflection in the context of self adaptive software systems. Many presentday automatic control systems also have certain adaptation and selfoptimization capabilities.
Journal of systems and software selfadaptive systems. 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 betty h. It is an extension of hybrid petri nets by embedding a neural network algorithm into them at some special transitions.
Gamble, to appear in the proceedings of the th international symposium on software engineering for adaptive and self managing systems seams, may 2018. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Gamble, to appear in the proceedings of the th international symposium on software engineering for adaptive and selfmanaging systems seams, may 2018. The paper is partitioned into four parts, one for each of the identified essential views of self adaptation.
The objective of seams is to bring together researchers and practitioners from diverse areas to investigate, discuss, and examine the fundamental principles, the state of the art, and critical challenges of engineering self adaptive and self managing systems. The workshop on software engineering for adaptive and selfmanaging systems seams is an academic conference for exchanging research results and experiences in the areas of autonomic computing, selfmanaging, selfhealing, selfoptimizing, selfconfiguring, and selfadaptive systems theory. Software systems in domains like smart cities, the internet of things or autonomous cars are coined by a high degree of distribution across several indepen decentrally coordinated execution of adaptations in distributed selfadaptive software systems ieee conference publication. Although the selfadaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognised its key role in enabling the development of future software systems that are able to selfadapt to changes that may occur in the system, its requirements, or the environment in which it is deployed.
This article examines the fundamental role of software architecture in self adaptive systems and outlines technologies we have considered for supporting the methodology. This article is a revised and extended version of vogel and giese 2012a that in. Decentrally coordinated execution of adaptations in. While over the past decade we have witnessed significant progress in the manner in which such systems are designed, constructed, and deployed, there is still a lack of. Selfadaptive software is an exciting new field merging ideas from traditional software engineering and computer systems, with artificial intelligence ai, machine learning ml, control theory, datadriven control, game theory, stochastic processes etc. Selfadaptive systems have been studied and solutions have been developed in a number of fields such as robotics, autonomic computing, control systems, distributed systems, and faulttolerant. A exemplar can be quite generic such as an artifact or rather specific such as a model problem in selfadaptive systems. Selfadaptive software aims to adjust various artifacts or attributes in response. The baselevel subsystem provides the main functionality of the software i. Engineering adaptive software systems communications of. This article examines the fundamental role of software architecture in selfadaptive systems and outlines technologies we have considered for supporting the methodology. These changes may stem from the software systems self internal causes, e. An increasingly important requirement for software intensive systems is the ability to self manage by adapting at runtime to handle such things as resource variability, changing user needs, and system intrusions or faults.
By operating environ ment, we mean anything observable by the software system, such as enduser input, external hardware devices and sensors, or program instrumentation. Feedback loops represent a key feature of adaptive systems, such as. For example, the feedback loops at every stage in royces waterfall model 18 or the risk feedback loop in boehms spiral model 19 are well known. Software engineering for adaptive and selfmanaging systems.
In this context, dynamic software product line is an engineering approach for developing selfadaptive systems based on commonalities and variabilities for a family of similar systems. Uncertainty in selfadaptive software systems 5 this model, the selfadaptive software system can be broken down into two parts. The aim of selfadaptation is to let the system collect additional data about the uncertainties during operation. Modeling selfadaptive software systems with learning. The goal is to provide a repository of examples, challenge problems, and solutions that the software. Modeling selfadaptive software systems with learning petri. Software engineering for selfadaptive systems ss 2015. The objective of seams is to bring together researchers and practitioners from academia, industry and government, to investigate, discuss, examine and advance the fundamental principles, the. In this research area, we are investigating foundations, frameworks, and techniques for developing self adaptive systems, using a control systems paradigm. Toward evaluating the impact of selfadaptation on security control certification, a. In this paper, an adaptive petri net apn is proposed to model a selfadaptive software system. Selfadaptation endows a software system with the ability to. 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. Proceedings of the 12th international symposium on software engineering for adaptive and selfmanaging systems, seams 17, pp.
Architecting selfadaptive software systems springerlink. The 15th edition of the international symposium on software engineering for adaptive and selfmanaging systems will be colocated with icse 2020 and will be held in seoul, south korea on may 2526, 2020. Citeseerx uncertainty in selfadaptive software systems. Selfadaptation is one prominent approach in which a software system is extended with one or more external feedback loops that monitor the system and adapt its. Unpredictable circumstances such as changes in the systems environment, system faults, new requirements, and changes in the priority of requirements are some of the reasons for triggering adaptation actions in a selfadaptive system. Abstractan increasingly important requirement for certain classes of softwareintensive systems is the ability to selfadapt their. Control strategies for selfadaptive software systems acm. The evergrowing complexity of software systems coupled with their stringent availability requirements are challenging the manual management of software after its deployment. We show that computational reflection forms the foundation of a self adaptive system, and an understanding of its properties is a prerequisite to intelligent and predictable construction. In proceedings of the 6th international symposium on software engineering for adaptive and selfmanaging systems seams11.
These changes may stem from the software system s self internal causes, e. An increasingly important requirement for softwareintensive systems is the ability to selfmanage by adapting at runtime to handle such things as resource variability, changing user needs, and system intrusions or faults. Hybrid planning in selfadaptive systems planning is one of the fundamental design considerations when building a self adaptive software system. The paper is partitioned into four parts, one for each of the identified essential views of selfadaptation.