The goal of this roadmap paper is to summarize the stateoftheart and to identify critical challenges for the systematic software engineering of selfadaptive systems. A exemplar can be quite generic such as an artifact or rather specific such as a model problem in self adaptive systems. Recognizing the presence of uncertainty and managing it can mitigate its potentially negative e. Antonio filieri, henry hoffmann, and martina maggio. A major challenge for modern software systems is to become more costeffective, while being. The paper is partitioned into four parts, one for each of the identified. In this paper, we discuss how for selfadaptive systems some activities that traditionally occur at developmenttime are moved to runtime. Such selfadaptive systems can configure and reconfigure themselves, augment their functionality, continually optimize. Gamble, to appear in the proceedings of the th international symposium on software engineering for adaptive and self managing systems seams, may 2018. Modeldriven engineering autonomic self adaptive systems recently, also working in following areas. Software engineering for selfadaptive systems betty h. Click download or read online button to get self adaptive systems book now. Engineering selfadaptive systems through feedback loops 51 feedback loops have been recognized as important factors in software process management and improvement or software evolution.
Software engineering for self adaptive systems lecture notes in computer science programming and software engineering lecture notes in computer science 5525 cheng, betty h. Such self adaptive systems can configure and reconfigure themselves, augment their functionality. This roadmap is one of the many results of the dagstuhl seminar 10431 on software engineering for selfadaptive systems. Responsibilities for these activities shift from software engineers to the system itself, causing the traditional boundary between developmenttime and. Software engineering for selfadaptive systems dblp. Unfortunately, the latter types of control loops are far more common. For each view, we present the stateoftheart and the challenges that our community must address. Modeldriven software engineering of self adaptive systems nth graduate school, 28. 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 self adaptive systems that are able to adapt to internal faults, changing. A survey on engineering approaches for selfadaptive. This paper complements and extends a previous roadmap on software engineering for selfadaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. Automated multiobjective control for selfadaptive software design. A proposed architecture for selfadaptive expert systems international journal of software engineering and knowledge engineering.
Gamble, to appear in the proceedings of the th international symposium on software engineering for adaptive and selfmanaging systems seams, may 2018. Pdf software engineering for selfadpaptive systems. A number of efforts from the software engineering for selfadaptive systems community 28 have addressed the issue of providing principled engineering approaches, leveraging the systematic capture of design knowledge and enabling the early reasoning of selfadaptation quality attributes. The symposia on software engineering for adaptive and selfmanaging systems seams attempts to consolidate interest within the software engineering community on selfadaptive, selfmanaging, selfhealing, selfoptimizing, selfconfiguring, and selforganizing systems. Rather than providing a set of distinct approaches for engineering selfadaptive systems that have been developed over time, the waves put complementary aspects of engineering selfadaptive systems in focus that synergistically have contributed to the current body of knowledge in the eld. 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. Software engineering for selfadaptive systems lecture notes. Lncs 7475 software engineering for selfadaptive systems. A 10year perspective on software engineering self adaptive. This site contains a set of exemplars for self adaptive systems. Software engineering for selfadaptive systems acm digital library. Searchbased software engineering for selfadaptive systems. Section 4 presents our proposed set of design patterns that depicts the well known solutions and ideas about the self adaptive systems engineering.
Selfadaptive system an overview sciencedirect topics. A exemplar can be quite generic such as an artifact or rather specific such as a model problem in selfadaptive systems. The key features of multiagent systems in the engineering of self adaptive systems are, specifically, loose coupling, context sensitivity, robustness in response to failure and unexpected events. 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. 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. Self adaptive systems download ebook pdf, epub, tuebl, mobi.
Rather than providing a set of distinct approaches for engineering self adaptive systems that have been developed over time, the waves put complementary aspects of engineering self adaptive systems in focus that synergistically have contributed to the current body of knowledge in the eld. In order to solve these limitations, in this paper, we propose a hybrid approach combining software engineering, control theory, and ai to design for software selfadaptation. Even though control engineering 30,31 as well as feedback found in nature. The objective of seams is to bring together researchers and practitioners from academia, industry and government, to investigate, discuss, examine and advance the. An increasingly important requirement for softwareintensive systems is the ability. A hybrid approach combining control theory and ai for. Software engineering for selfadaptive systems ebook, 2009. He served as workshop chair for the models uml 2007 conference at vanderbilt and was cochair of the track for research demonstrations for icse 08 in dresden. Toward evaluating the impact of self adaptation on security control certification, a. Welcome to the website on software engineering for selfadaptive systems.
May 04, 2015 the complexity of current software systems, evolution of their requirements and uncertainty in their environments has led the software engineering community to look for inspiration in diverse related fields e. Our solution proposes a hierarchical and dynamic system manager with performance tuning. The key features of multiagent systems in the engineering of selfadaptive systems are, specifically, loose coupling, context sensitivity, robustness in response to failure and unexpected events. The complexity of information systems is increasing in recent years, leading to increased effort for maintenance and configuration. The first two waves put the focus on the primary drivers for selfadaptation and the fundamental principles to engineer selfadaptive systems. Selfadaptation refers to the ability of a system to autonomously adapt at runtime, based on adaptation models, to maintain its nonfunctional. Software engineering for selfadaptive systems lecture notes in computer science programming and software engineering lecture notes in computer science 5525 cheng, betty h. This paper complements and extends a previous roadmap on software engineering for selfadaptive systems published in 2009 covering a di. This paper complements and extends a previous roadmap on software engineering for selfadaptive systems published in 2009 covering a different set.
The papers have been divided into topical sections on architecturebased. Software engineering for selfadaptive systems ii request pdf. Seams software engineering for selfadaptive systems. From the presented perspective on the field, we outline a number of challenges for future research in self adaptation, both in a short and long term. Software engineering and network systems sens lab digital evolution devolab. Exemplars software engineering for selfadaptive systems. Citeseerx document details isaac councill, lee giles, pradeep teregowda. He was one of the organizers for the dagstuhlseminar software engineering for selfadaptive systems in january 2008. Selfadaptive system sas is one category of such complex systems that permits to optimize different functional and nonfunctional objectivescriteria under changing. Selfadaptive software is a response to these demands. Pdf software engineering for selfadaptive systems ii. Welcome to the website on software engineering for self adaptive systems. Software engineering for selfadaptive systems 7 inherent variability of the phenomena being described aleatory.
Selfadaptation has become one of the most promising. Toward evaluating the impact of selfadaptation on security control certification, a. 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. If the data input is imperfect, a traditional system may fail to. Software engineering for selfadaptive systems lecture. International seminar, dagstuhl castle, germany, december 1519, 20, revised. Almost simultaneously there emerged new venues for discussing such issues.
The objectives of this cluster includes i architectural styles and patterns for selfadaptive systems that employ automated experimentation to autonomously improve the performance of families of systems, and ii evidencebased engineering approaches that uniformly combine humandriven experimentation and automated experimentation. 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. The goal is to provide a repository of examples, challenge problems, and solutions that the software. 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 recognised its key role in. We present an approach for engineering self adaptive software systems that brings about two innovations. 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. Software engineering for selfadaptive systems the imdea. Engineering self adaptive systems through feedback loops. The goal of this roadmap paper is to summarize the stateoftheart and to identify critical challenges for the systematic software engineering of selfadaptive. At loughborough, i lead the ideas lab intelligent dependability engineering for adaptive software laboratory, where the research aim is to develop approaches that help to effectively engineer more dependable and selfadaptive software systems using specialized artificial intelligence algorithms.
Searchbased software engineering sbse is a promising paradigm that exploits computational search to optimize different processes when engineering complex software systems. It was established in 2006 at the international conference on software engineering. The complexity of current software based systems has led the software engineering community to look for inspiration in diverse related fields e. Selfadaptive systems have been studied within the di.
Software engineering for selfadaptive systems ucl computer. 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. This site is like a library, use search box in the widget to get ebook that you want. In 36th international conference on software engineering icse14. 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. Automated design of selfadaptive software with controltheoretical formal guarantees. The goal is to provide a repository of examples, challenge problems, and solutions that the software engineering for selfadaptive systems community can use to motivate research, exhibit solutions and techniques, and compare results. 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 recognized its key role in enabling the development of future software systems that are able to selfadapt to changes that may. 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. Self adaptive system sas is one category of such complex systems that permits to optimize different functional and nonfunctional objectivescriteria under changing environment e. Software engineering processes for selfadaptive systems. Also in nature plenty examples for positive and negative feedback can be found that help to regulate processes. Software engineering for selfadaptive systems book, 2009.
Also included in this book is an invited roadmap paper on the research challenges facing selfadaptive systems within the area of software engineering, based on discussions at the dagstuhl seminar and put together by several of its participants. This roadmap paper is a result of the dagstuhl seminar 08031 on software engineering for selfadaptive systems, which took place in january 2008. This paper complements and extends a previous roadmap on software engineering for selfadaptive systems published in 2009 covering a different set of topics. This roadmap is one of the many results of the dagstuhl seminar 10431 on.
Software s ability to adapt at runtime to changing user needs, system intrusions or faults, changing operational environment, and resource variability has been proposed as a means to cope with the complexity of todays software intensive systems. The paper is partitioned into four parts, one for each of the identified essential views of self adaptation. Dagstuhl seminar proceedings 10431, schloss dagstuhl leibnizzentrum fur informatik. Ab 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. Seams 2019 will be colocated with icse 2019 and held in montreal, may 2526, 2019.
A learningbased framework for engineering featureoriented. 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. 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. 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. Improving architecturebased self adaptation through resource prediction. Ab the goal of this roadmap paper is to summarize the stateoftheart and to identify critical challenges for the systematic software engineering of selfadaptive systems. This roadmap paper is a result of the dagstuhl seminar 08031 on software engineering for self adaptive systems, which took place in january 2008. Software engineering for selfadaptive systems ss 2015. Overview of software engineering and development processes. Software engineering for selfadaptive systems lecture notes in computer science programming and. Engineering selfadaptive systems through feedback loops.
Software engineering of selfadaptive systems springerlink. 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. A major challenge for modern software systems is to become more cost. Modeling dimensions of self adaptive software systems. The paper is partitioned into four parts, one for each of the identified essential views of selfadaptation. What emerged was a blossoming of a new focus on the software engineering of self adaptive systems that could rise to the challenges of modern contexts. Modeldriven software engineering of self adaptive systems. Software engineering for selfadaptive systems software. Jan 22, 2020 searchbased software engineering sbse is a promising paradigm that exploits computational search to optimize different processes when engineering complex software systems. Section 3 introduces some related work on the self adaptive software systems development.
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. These waves put complementary aspects of engineering self adaptive systems in focus that synergistically have contributed to the current knowledge in the field. 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 recognized its key role in enabling the development of selfadaptive systems that are able to adapt to internal faults, changing requirements, and evolving environments. Self adaptive systems artifacts and model problems. Software engineering for adaptive and selfmanaging systems.
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