Due to increasing practical needs, software support of environmental protection and research tasks is growing in importance and scope. Software systems help to monitor basic data, to maintain and process relevant environmental information, to analyze gathered information and to carry out decision processes, which often have to take into account complex alternatives with various side effects. Therefore software is an important tool for the environmental domain. When the first software systems in the environmental domain grew - 10 to 15 years ag- users and developers were not really aware of the complexity these systems are carrying with themselves: complexity with respect to entities, tasks and procedures. I guess nobody may have figured out at that time that the environmental domain would ask for solutions which information science would not be able to provide and - in several cases - can not provide until today. Therefore environmental informatics - as we call it today - is also an important domain of computer science itself, because practical solutions need to deal with very complex, interdisciplinary, distributed, integrated, sometimes badly defined, user-centered decision processes. I doubt somebody will state that we are already capable of building such integrated systems for end users for reasonable cost on a broad range. The development of the first scientific community for environmental informatics started around 1985 in Germany, becoming a technical committee and working group of the German Computer Society in 1987.

The main aim of this book is to present a broader view of scientific software than has been common in the past. The provision of scientific software is no longer a matter of just writing 'good computer programs', but rather it is concerned with the development of an integrated software system wI-,ich offers the user facilities which approach all that he needs in terms of speed, accuracy and convenience. This means that due account must, for example, be taken of the high-speed computing capabilities of parallel processors, the exact computing features of symbolic mathematical systems, the presentational potentialities of computer graphics, and the advisory aspects of knowledge-based and expert systems. When suites of numerical software programs or routines are supported by such ranges of facilities, then they can be justly described as 'scientific software systems', and that is why we have adopted such a title here. The assembly of this book was a direct consequence of the running of a one-day international symposium, with the same broad aim of advocating a 'systems approach', under the title 'Scientific Software and Systems'. This Symposium was held at the Royal Military College of Science (RMCS) in Shrivenham on July 11, 1988 and was attended by 85 people. A very busy but most enjoyable day included invited talks, poster presentations and demonstrations of software products, not to mention various social activi­ ties.

This book constitutes the thoroughly refereed post-conference proceedings of the 7th EAI International Conference on Sensor Systems and Software, S-Cube 2016, held in Sophia Antipolis, Nice, France, in December 2016. The 15 revised full papers and 5 invited papers cover technologies for wireless sensor networks, smart city and industry 4.0 applications, and smart sensing.

This book discusses the problems and challenges in the interdisciplinary research field of self-adaptive software systems. Modern society is increasingly filled with software-intensive systems, which are required to operate in more and more dynamic and uncertain environments. These systems must monitor and control their environment while adapting to meet the requirements at runtime. This book provides promising approaches and research methods in software engineering, system engineering, and related fields to address the challenges in engineering the next-generation adaptive software systems. The contents of the book range from design and engineering principles (Chap. 1) to control–theoretic solutions (Chap. 2) and bidirectional transformations (Chap. 3), which can be seen as promising ways to implement the functional requirements of self-adaptive systems. Important quality requirements are also dealt with by these approaches: parallel adaptation for performance (Chap. 4), self-adaptive authorization infrastructure for security (Chap. 5), and self-adaptive risk assessment for self-protection (Chap. 6). Finally, Chap. 7 provides a concrete self-adaptive robotics operating system as a testbed for self-adaptive systems. The book grew out of a series of the Shonan Meetings on this ambitious topic held in 2012, 2013, and 2015. The authors were active participants in the meetings and have brought in interesting points of view. After several years of reflection, they now have been able to crystalize the ideas contained herein and collaboratively pave the way for solving some aspects of the research problems. As a result, the book stands as a milestone to initiate further progress in this promising interdisciplinary research field.

This volume contains a record of some of the lectures and seminars delivered at the Third International School on Engineering Trustworthy Software Systems (SETSS 2017), held in April 2017 at Southwest University in Chongqing, China. The six contributions included in this volume provide an overview of leading-edge research in methods and tools for use in computer system engineering. They have been distilled from six original courses delivered at the school on topics such as: rely/guarantee thinking; Hoare-style specification and verification of object-oriented programs with JML; logic, specification, verification, and interactive proof; software model checking with Automizer; writing programs and proofs; engineering self-adaptive software-intensive systems; and with an additional contribution on the challenges for formal semantic description. The material is useful for postgraduate students, researchers, academics, and industrial engineers, who are interested in the theory and practice of methods and tools for the design and programming of trustworthy software systems.

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