Living with uncertainty in the age of runtime models

Uncertainty can be defined as the difference between information that is represented in an executing system and the information that is both measurable and available about the system at a certain point in its life-time. A software system can be exposed to multiple sources of uncertainty produced by, for example, ambiguous requirements and unpredictable execution environments. A runtime model is a dynamic knowledge base that abstracts useful information about the system, its operational context and the extent to which the system meets its stakeholders' needs. A software system can successfully operate in multiple dynamic contexts by using runtime models that augment information available at design-time with information monitored at runtime. This chapter explores the role of runtime models as a means to cope with uncertainty. To this end, we introduce a well-suited terminology about models, runtime models and uncertainty and present a state-of-the-art summary on model-based techniques for addressing uncertainty both at development- and runtime. Using a case study about robot systems we discuss how current techniques and the MAPE-K loop can be used together to tackle uncertainty. Furthermore, we propose possible extensions of the MAPE-K loop architecture with runtime models to further handle uncertainty at runtime. The chapter concludes by identifying key challenges, and enabling technologies for using runtime models to address uncertainty, and also identifies closely related research communities that can foster ideas for resolving the challenges raised. © 2014 Springer International Publishing.

An online assessment and development tool for business incubators:optimising business-incubation management practice, performance and impact, Project Report

This project is focused on exchanging knowledge between ABS, UKBI and managers of business incubators in the UK. The project relates to exploitation of extant knowledge-base on assessing and improving business incubation management practice and performance and builds on two earlier studies. It addresses a pressing need for assessing and benchmarking business incubation input, process and outcome performance and highlighting best practice. The overarching aim of this project was to obtain proof-of-concept for a business incubation performance assessment and benchmarking online tool, fine-tune it and put it in use by nurturing a community of business incubation management practice, aligned by the resultant tool. The purpose was to offer an appropriate set of measures, in areas identified by relevant research on business incubation performance management and impact as critical, against which: 1.The input and process performance of business incubation management practice can be assessed and benchmarked within the auspices of a community of incubator managers concerned with best practice 2.The outcome performance and impact of business incubators can be assessed longitudinally. As such, the developed online assessment framework is geared towards the needs of researchers, policy makers and practitioners concerned with business incubation performance, added value and impact.

The economics of copyright

The copyright industries — such as music, film, software and publishing — occupy a significant and growing share of economic activity. Current copyright law protects the creator for up to 70 years after their death, significantly longer than patent protection (20 years after invention). Copyright law aims to balance the incentive to create new work against the costs associated with high prices and restricted access to this work. This paper reviews the economic issues behind copyright and how these are challenged by changes in technology and market structure. While economics provides a powerful conceptual framework for understanding the trade-offs involved, the paper argues that our empirical knowledge base is very weak. Much more empirical analysis is needed to understand the impacts of changes to copyright legislation. Without such analysis, policy and legal debates will continue to be based largely on anecdote and rhetoric.

The UK MPharm (2) - Do we over assess?

Introduction-The pace of structural change in the UK health economies, the new focus on regulation and the breaking down of professional boundaries means that the Royal Pharmaceutical Society of Great Britain (RPSGB) has to continually review the scope, range and outputs of education provided by schools of pharmacy (SOPs). In SOPs, the focus is on equipping students with the knowledge, skills and attitudes necessary to successfully engage with the pre-registration year. The aim of this study [1] was to map current programmes and undergraduate experiences to inform the RPSGB debate. The specific objectives of this paper are to describe elements of the survey of final year undergraduates, to explore student opinions and experiences of their workload, teaching, learning and assessment. Material and methods-The three main research techniques were: (1) quantitative course document review, (2) qualitative staff interview and (3) quantitative student self completion survey. The questions in the survey were based on findings from exploratory focus group work with BPSA (British Pharmaceutical Students’ Association) members and were designed to ascertain if views expressed in the focus groups on the volume and format of assessments were held by the general student cohort. The student self completion questionnaire consisting of 31 questions, was administered in 2005 to all (n=1847) final year undergraduates, using a pragmatic mixture of methods. The sample was 15 SOPs within the UK (1 SOP opted out). The total response rate was 50.62% (n=935): it varied by SOP from 14.42% to 84.62%. The survey data were analysed (n=741) using SPSS, excluding non-UK students who may have undertaken part of their studies within a non-UK university. Results and discussion • 76% (n=562) respondents considered that the amount of formal assessment was about right, 21% (n=158) thought it was too much. • There was agreement that the MPharm seems to have more assessment than other courses, with 63% (n=463) strongly agreeing or agreeing. • The majority considered the balance between examinations and coursework was about right (67%, n=498), with 27% (n=198) agreeing that the balance was too far weighted towards examinations. • 57% (n=421) agreed that the focus of MPharm assessment was too much towards memorised knowledge, 40% (n=290) that it was about right. • 78% (n= 575) agreed with the statement “Assessments don’t measure the skills for being a pharmacist they just measure your knowledge base”. Only 10% (n=77) disagreed. • Similarly 49% (n=358) disagreed with, and 35% (n=256) were not sure about the statement “I consider that the assessments used in the MPharm course adequately measure the skills necessary to be a pharmacist”. Only 17% (n=124) agreed. Experience from this study shows the difficulty of administering survey instruments through UK Schools of Pharmacy. It is heavily dependent on timing, goodwill and finding the right person. The variability of the response rate between SOPs precluded any detailed analysis by School. Nevertheless, there are some interesting results. Issues raised in the exploratory focus group work about amount of assessment and over reliance on knowledge have been confirmed. There is a real debate to be had about the extent to which the undergraduate course, which must instil scientific knowledge, can provide students with the requisite qualities, skills, attitudes and behaviour that are more easily acquired in the pre-registration year. References [1] Wilson K, Jesson J, Langley C, Clarke L, Hatfield K. MPharm Programmes: Where are we now? Report commissioned by the Pharmacy Practice Research Trust., 2005.

Researching experiences of cancer:the importance of methodology

This paper draws on contributions to and discussions at a recent MRC HSRC-sponsored workshop 'Researching users' experiences of health care: the case of cancer'. We focus on the methodological and ethical challenges that currently face researchers who use self-report methods to investigate experiences of cancer and cancer care. These challenges relate to: the theoretical and conceptual underpinnings of research; participation rates and participant profiles; data collection methods (the retrospective nature of accounts, description and measurement, and data collection as intervention); social desirability considerations; relationship considerations; the experiences of contributing to research; and the synthesis and presentation of findings. We suggest that methodological research to tackle these challenges should be integrated into substantive research projects to promote the development of a strong knowledge base about experiences of cancer and cancer care.

Information-Analytical System for Design of New Inorganic Compounds

The principles of design of information-analytical system (IAS) intended for design of new inorganic compounds are considered. IAS includes the integrated system of databases on properties of inorganic substances and materials, the system of the programs of pattern recognition, the knowledge base and managing program. IAS allows a prediction of inorganic compounds not yet synthesized and estimation of their some properties.

Production-frame Model of Representation of Data Domain

One of the most important problems of e-learning system is studied in given paper. This problem is building of data domain model. Data domain model is based on usage of correct organizing knowledge base. In this paper production-frame model is offered, which allows structuring data domain and building flexible and understandable inference system, residing in production system.

Management of Information on Program Flow Analysis

The article proposes the model of management of information about program flow analysis for conducting computer experiments with program transformations. It considers the architecture and context of the flow analysis subsystem within the framework of Specialized Knowledge Bank on Program Transformations and describes the language for presenting flow analysis methods in the knowledge bank.

A Method of Estimating Usability of a User Interface Based on its Model

The article presents a new method to estimating usability of a user interface based on its model. The principal features of the method are: creation of an expandable knowledge base of usability defects, detection defects based on the interface model, within the design phase, and information to the developer not only about existence of defects but also advice on their elimination.

Fuzzy Set Theory Approach as the Basis of Analysis of Financial Flows in the Economical Security System

The problems of formalization of the process of matching different management subjects’ functioning characteristics obtained on the financial flows analysis basis is considered. Formal generalizations for gaining economical security system knowledge bases elements are presented. One of feedback directions establishment between knowledge base of the system of economical security and financial flows database analysis is substantiated.

A WEB-System for Computer Experiments in the Field of Program Transformations

The paper presents basic notions and scientific achievements in the field of program transformations, describes usage of these achievements both in the professional activity (when developing optimizing and unparallelizing compilers) and in the higher education. It also analyzes main problems in this area. The concept of control of program transformation information is introduced in the form of specialized knowledge bank on computer program transformations to support the scientific research, education and professional activity in the field. The tasks that are solved by the knowledge bank are formulated. The paper is intended for experts in the artificial intelligence, optimizing compilation, postgraduates and senior students of corresponding specialties; it may be also interesting for university lecturers and instructors.

Towards the Semiotics of Noosphere

Civilization has brought us into the noosphere world. Besides physical, around (and inside of) us exist and function also mental and cultural entities. It is impossible to perform now knowledge acquisition, knowledge base creation and organizational systems management without adequate consideration of object’s noosphere statuses. I tried here to clarify basic viewpoints concerning this issue, hoping that elaboration of common methodological foundations of semiotic modeling will be useful for developers and also for users of new generation automation systems.

Towartds Computer-aided Editing of Scientific and Technical Texts

The paper discusses facilities of computer systems for editing scientific and technical texts, which partially automate functions of human editor and thus help the writer to improve text quality. Two experimental systems LINAR and CONUT developed in 90s to control the quality of Russian scientific and technical texts are briefly described; and general principles for designing more powerful editing systems are pointed out. Features of an editing system being now under development are outlined, primarily the underlying linguistic knowledge base and procedures controlling the text.

A Log Tool for Software Systems Analyses

The article presents a new type of logs merging tool for multiple blade telecommunication systems based on the development of a new approach. The introduction of the new logs merging tool (the Log Merger) can help engineers to build a processes behavior timeline with a flexible system of information structuring used to assess the changes in the analyzed system. This logs merging system based on the experts experience and their analytical skills generates a knowledge base which could be advantageous in further decision-making expert system development. This paper proposes and discusses the design and implementation of the Log Merger, its architecture, multi-board analysis of capability and application areas. The paper also presents possible ways of further tool improvement e.g. - to extend its functionality and cover additional system platforms. The possibility to add an analysis module for further expert system development is also considered.

Multiple-Valued Structures of Intellectual Systems

The basic construction concepts of many-valued intellectual systems, which are adequate to primal problems of person activity and using hybrid tools with many-valued intellectual systems being two-place, but simulating neuron processes of space toting which are different on a level of actions, inertial and threshold of properties of neuron diaphragms, and also frequency modification of the following transmitted messages are created. All enumerated properties and functions in point of fact are essential not only are discrete on time, but also many-valued.