Software engineering for self-adaptive systems of the human

This is a paradigm shift of software systems from react to anticipate. The goal of this roadmap paper is to summarize the stateoftheart and to identify critical challenges for the systematic software engineering of selfadaptive systems. Foundational concepts self properties understanding and taming uncertainty runtime models and variability consistent change of systems in operation mixedinitiative and human intheloop systems situational awareness. Managing tradeoffs in adaptable software architectures. It was established in 2006 at the international conference on software engineering icse. Seams 2019 call for papers software engineering for. Programs always include explicit and implicit assumptions about the real world domain. 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. The objectives of this cluster includes i architectural styles and patterns for self adaptive systems that employ automated experimentation to autonomously improve the performance of families of systems, and ii evidencebased engineering approaches that uniformly combine human driven experimentation and automated experimentation. These waves put complementary aspects of engineering self adaptive systems in focus that synergistically have contributed to the current knowledge in the field. Research experiences for undergraduates in software.

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. Why is selfadaptation becoming so trendy in software. Abstractselfadaptive systems overcome many of the limita tions of human supervision in complex softwareintensive systems by endowing them with the ability to. By operating environment, we mean anything observable by the software system, such as enduser input, external hardware devices and sensors, or program instrumentation. Assessing the benefits of searchbased approaches when designing selfadaptive systems. A general approach for building selfhealing selfadaptive systems expands the field of selfadaptive systems because such approaches will be reused across multiple efforts and projects. He received his phd from the university of southern california in 2008 and was a computing innovation postdoctoral fellow at the. Software engineering selfadaptive systems seams 20 david garlan may20 san francisco, ca 2 a 10year perspective in 2002 alex wolf, jeff kramer and i organized the first acm sigsoft workshop on selfhealing systems woss02 charleston, south carolina at fse10 35 participants, 22 presentations 2days evolved into todays seams. Software engineering for selfadaptive systems 5 processes should provide the basis for managing the continuous collection, analysis and synthesis of evidence that will form the core of the arguments that substantiate the provision of assurances. Agile software development apps and app store analysis autonomic and selfadaptive systems cloud computing componentbased software engineering configuration management and deployment crowd sourced software engineering cyber physical systems. Software engineering for self adaptive systems 5 processes should provide the basis for managing the continuous collection, analysis and synthesis of evidence that will form the core of the arguments that substantiate the provision of assurances. Systems that claim to be selfadaptive sense and respond to something in. Software engineering for adaptive and selfmanaging systems. The first wave focusses on the automation of management tasks, from human.

Software engineering for selfadaptive systems lecture notes in computer science programming and. Shaw, editors, software engineering for self adaptive systems ii, volume 7475 of lecture notes in computer science, pages 214238. From the presented perspective on the field, we outline a number of challenges for future research in. A exemplar can be quite generic such as an artifact or rather specific such as a model problem in self adaptive systems. The goal of this paper on the provision of assurances for selfadaptive systems. Reasoning about human participation in selfadaptive systems. Lncs 7475 software engineering for selfadaptive systems. Selfadaptive systems, which can evaluate and modify their own behavior to improve efficiency, are increasingly important in software intensive systems. Modeldriven software engineering of self adaptive systems nth graduate school, 28.

He received his phd from the university of southern california in 2008 and was a computing innovation postdoctoral fellow at the university of washington until 2012. 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. Cheng is a professor in the department of computer science and engineering at michigan state university. His research interests include software engineering, software fairness and bias, self adaptive systems, and distributed systems. Design and develop product lines of selfadaptive software systems with reuse.

The paper is partitioned into four parts, one for each of the identified essential views of self adaptation. All topics related to engineering self adaptive and self managing systems, including. Self adaptive software modifies its own behavior in response to changes in its operating environment. Abstractselfadaptive systems overcome many of the limitations of human supervision in complex softwareintensive systems by endowing them with the ability to automatically adapt their structure and behavior in the presence of runtime changes. Requirement engineering is regarded as one of the major stages in software development and management. Ieee transactions on software engineering 1 searchbased. Software engineering for selfadaptive systems lecture. Thus, the investigation of systematic software engineering approaches is necessary, in order to develop selfadaptive systems that may ideally be applied across multiple domains. The real world domain and the program and its explicit.

Software engineering for self adaptive systems lecture notes in computer science programming and software engineering lecture notes in computer science 5525 cheng, betty h. This article examines the fundamental role of software architecture in selfadaptive systems and outlines technologies we have considered for supporting the methodology. Software engineering for selfadaptive systems lecture notes in computer science programming and software engineering lecture notes in computer science 5525 cheng, betty h. In this chapter, we introduce the concept of managing tradeoffs in adaptable software architectures, discussing. Adaptation challenges include selfconfiguration, selfoptimization, selfhealing and selfprotection. Software engineering for selfadaptive systems the imdea. Incorporating human intention into selfadaptive systems. Exemplars software engineering for selfadaptive systems. A 10year perspective on software engineering self adaptive systems keynote, proc.

All topics related to engineering selfadaptive and selfmanaging systems, including. Software engineering for selfadaptive systems ss 2015. Reuse allows patterns to be altered, changed, and grown according to the pragmatic needs of system builders. His research interests include software engineering, software fairness and bias, selfadaptive systems, and distributed systems. Myers does research at the intersection of software engineering and human computer interaction hci. A general approach for building self healing self adaptive systems expands the field of self adaptive systems because such approaches will be reused across multiple efforts and projects. 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. Self adaptive 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. To that end, we propose a domainengineering based methodology. 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.

A second research roadmap, in software engineering for selfadaptive systems ii international seminar, dagstuhl castle, germany, october 2429, 2010 revised selected and invited papers, ser. Self adaptive systems have a centralreasoning component that is fundamental to the concept of how the system works and can be used to ensure properties such as resiliency, healing. Apr 18, 2016 self adaptive systems, which can evaluate and modify their own behavior to improve efficiency, are increasingly important in software intensive systems. One of his current projects focuses on supporting exploratory programming which has developed a mechanism for selective undo, which will be adapted for this summers project. Software engineering for selfadaptive systems acm digital library. Solutions to complement software systems with selfmanaging and selfadaptive capabilities have been proposed by researchers from different areas including software architecture, faulttolerant computing, programming languages, robotics, and run time program analysis and verification. Trust management and security, software engineering, distributed systems, service based systems, ubiquitouspervasive computing.

Software defect in the autopilot system of boeing 737 max is the major root cause of these two accidents. The paper is partitioned into four parts, one for each of the identified essential views of selfadaptation. Evaluating tradeo s of human involvement in selfadaptive. Self adaptive software is currently employed in clouds, networks, iot, autonomous robots, etc. Human and social aspects of software engineering software services human computer interaction software testing middleware, frameworks, and apis software visualization mining software engineering repositories specification and modeling languages. Building adaptive selfhealing systems within a resource. Her research and teaching interests include formal methods for software engineering, software development environments, objectoriented analysis and design, embedded systems development, assurance patterns, adaptive.

Yuriy brun is an associate professor with the college of information and computer sciences at the university of massachusetts amherst. Modeldriven software engineering of self adaptive systems. Selfadaptation carnegie mellon school of computer science. Journal of software engineering research and 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. Section 3 summarizes some major trends that we see in current practice. This introduction to say that 1 maybe the property of self adaptation must be contextualized to some aspects of the system internet is self adaptive with respect to the topology and 2 software. Effective requirement engineering process model in. 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. Cheng, towards runtime adaptation of test cases for selfadaptive systems in.

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. 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. These waves put complementary aspects of engineering selfadaptive systems in focus that synergistically have contributed to the current knowledge in the field. Dec 04, 2018 from 1 january 2019, journal of software engineering research and development will be published by the brazilian computer society. Ieee transactions on software engineering 1 search. Selfadaptive software is currently employed in clouds, networks, iot, autonomous robots, etc. The world of requirement management has increasingly developed over the years and has become the cornerstone for any software. Sep 10, 2018 approaches to complement software based systems with self managing and self adaptive capabilities are an important area of research and development, offering solutions that leverage advances in fields such as software architecture, faulttolerant computing, programming languages, runtime program analysis and verification, among others. This site contains a set of exemplars for self adaptive systems.

Selfadaptive systems are implemented using four key technologies. Modeldriven software engineering of self adaptive systems charles university, 16. Self adaptive systems overcome many of the limitations of human supervision in complex software intensive systems by endowing them with the ability to automatically adapt their structure and behavior in the presence of runtime changes. 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 adaptive and selfmanaging. Dr gonzalezsanchezs research takes place at the intersection of software engineering and human computer interaction. Foundational concepts self properties understanding and taming uncertainty runtime models and variability consistent change of systems in operation mixedinitiative and human in the loop systems situational awareness ethical challenges of self. Abstract selfadaptive systems overcome many of the limitations of human supervision in complex software intensive systems by endowing them with the ability to automatically adapt their structure and behavior in the presence of runtime changes. Seams 2019 will be colocated with icse 2019 and held in montreal, may 2526, 2019.

In this research area, we are investigating foundations, frameworks, and techniques for developing selfadaptive systems, using a control systems paradigm. Self adaptive systems are implemented using four key technologies. Engineering selfadaptive software, intelligent interactive systems, human computer interfaces, and affective computing. 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. Software engineering of selfadaptive systems springerlink. Cognionics 64channel wireless eeg headset, retrieved nov. Perpetual assurances for selfadaptive systems arxiv. As software is required to operate continuously in changing and uncertain environments, adaptability needs to be considered as a key issue, along with other more traditional software qualities. A 10year perspective on software engineering self adaptive. A exemplar can be quite generic such as an artifact or rather specific such as a model problem in selfadaptive systems. The longterm research goal is to incorporate and synergize human neural input. The goal of this roadmap paper is to summarize the state of the art and to identify critical challenges for the systematic software engineering of self adaptive systems. Thus establishing software systems with a selfadaptive capability. Software engineering for selfadaptive systems lecture notes.

Foundational concepts self properties understanding and taming uncertainty runtime models and variability consistent change of systems in operation mixedinitiative and human intheloop systems situational awareness ethical challenges of self. While the foundations give engineers the capabilities to develop self adaptive systems, we are advancing self adaptive development and analysis to provide more nuanced self adaptation, including fault localization and diagnosis, the impact of latency and predicition, including human operators as collaborators. 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. A testing scheme for selfadaptive software systems with.

This roadmap paper is a result of the dagstuhl seminar 08031 on software engineering for selfadaptive systems, which took place in january 2008. Further, systems can selfadapt and refine their behaviors driven by such human covert behavior. Selfadaptive systems overcome many of the limitations of human supervision in. Seams 2019 call for papers software engineering for self. Selfadaptive systems overcome many of the limitations of human supervision in complex software intensive systems by endowing them with the ability to automatically adapt their structure and behavior in the presence of runtime changes. This site contains a set of exemplars for selfadaptive systems. Software fairness computer science and engineering. An issue around selfadaptability in computer systems is that, while electrical, mechanical engineering, for instance, have developed a sound and rich theoretical framework for the analysis and. A 10year perspective on software engineering selfadaptive systems keynote, proc. 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.

The proliferation of highly dynamic and smart applications challenges the software engineering community in rethinking the boundary between development time and run time and. The wellorchestrated use of distilled experience, domainspecific knowledge, and wellinformed tradeoff decisions is imperative if we are to design effective architectures for complex software intensive syst. The goal of this paper on the provision of assurances for self adaptive systems. A methodology to develop selfadaptive software systems. Adaptation challenges include self configuration, self optimization, self healing and selfprotection. 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. Modeldriven software engineering of selfadaptive systems charles university, 16. Our work is to expose such software defects techniques and tools for testing selfadaptive systems and to help developers avoid such defects methodology for developing selfadaptive systems. The goal is to provide a repository of examples, challenge problems, and solutions that the software. 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 human driven experimentation and automated experimentation.

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