Generic domain models in software engineering

This paper outlines three research directions related to domain-specific software development: (1) reuse of generic models for domain-specific software development; (2) empirical evidence to determine these generic models, namely elicitation of mental knowledge schema possessed by expert software developers; and (3) exploitation of generic domain models to assist modelling of specific applications. It focuses on knowledge acquisition for domain-specific software development, with emphasis on tool support for the most important phases of software development

A classification of RE papers:(A)re we researching or designing RE techniques?

Discussion of a paper in RE program committees is often\ud complicated by lack of agreement about evaluation criteria\ud to be applied to the paper. For some years now, successive\ud program chairs have attempted to increase clarity by\ud including a paper classification in their CFP, and making the\ud evaluation criteria per paper class explicit. This short note\ud presents a paper classification based on this experience. It\ud can be used as guide by program chairs. It can also be used\ud by authors as well as reviewers to understand what kind of\ud paper they are writing or reviewing, and what criteria should\ud be applied in evaluating the paper

Monitoring Quality of Life Indicators at Home from Sparse and Low-Cost Sensor Data.

Supporting older people, many of whom live with chronic conditions or cognitive and physical impairments, to live independently at home is of increasing importance due to ageing demographics. To aid independent living at home, much effort is being directed at reliably detecting activities from sensor data to monitor people’s quality of life or to enhance self-management of their own health. Current efforts typically leverage smart homes which have large numbers of sensors installed to overcome challenges in the accurate detection of activities. In this work, we report on the results of machine learning models based on data collected with a small number of low-cost, off-the-shelf passive sensors that were retrofitted in real homes, some with more than a single occupant. Models were developed from the sensor data collected to recognize activities of daily living, such as eating and dressing as well as meaningful activities, such as reading a book and socializing. We evaluated five algorithms and found that a Recurrent Neural Network was most accurate in recognizing activities. However, many activities remain difficult to detect, in particular meaningful activities, which are characterized by high levels of individual personalization. Our work contributes to applying smart healthcare technology in real-world home settings

REDEPEND-REACT: an architecture analysis tool

The i* approach includes the construction of strategic dependency models (SD) developed to model information systems that can be applied in a wide variety of contexts. We are interested in the formulation of metrics over i* models to be used in components system architectures analysis. These metrics are defined to analyse the models with respect to some properties that are interesting for the system being modelled, such as security, efficiency or accuracy. Metrics are defined in terms of the actors and dependencies of the models and the results of their evaluation are used to inform multiple component selection. As the definition and evaluation of the property metrics are cumbersome activities, the need of tool support arises. Thus, we have enlarged REDEPEND, a Microsoft Visio plug-in that graphically models system goals using the i* formalism, to support the definition and evaluation of architectural properties obtaining the REDEPEND-REACT prototype.Peer ReviewedPostprint (published version

A goal-based round-trip method for system development

In most cases information system development can be seen as an exercise of business process reengineering, either because it automates some human-based processes or because a legacy system is going to be replaced. From this point of view, we can say that the specification of the system-to-be goes from the observation and analysis of the current system to the specification of the system-to-be, going through the construction and evaluation of alternatives. Goal-oriented models are a valuable formalism to support the strategic analysis of the current process. In this paper, we propose a method supporting that round-trip engineering process, focusing in the prescriptive construction of strategic i* models and the systematic generation of alternatives. Several requirements engineering techniques are used in order to model the existing process, which allow a reliable generation and evaluation of alternatives as well as the reuse of strategic knowledge for information system development.Peer ReviewedPostprint (author's final draft

Monitoring meaningful activities using small low-cost devices in a smart home

A challenge associated with an ageing population is increased demand on health and social care, creating a greater need to enable persons to live independently in their own homes. Ambient assistant living technology aims to address this by monitoring occupants’ ‘activities of daily living’ using smart home sensors to alert caregivers to abnormalities in routine tasks and deteriorations in a person’s ability to care for themselves. However, there has been less focus on using sensing technology to monitor a broader scope of so-called ‘meaningful activities’, which promote a person’s emotional, creative, intellectual, and spiritual needs. In this paper, we describe the development of a toolkit comprised of off-the-shelf, affordable sensors to allow persons with dementia and Parkinson’s disease to monitor meaningful activities as well as activities of daily living in order to self-manage their life and well-being. We describe two evaluations of the toolkit, firstly a lab-based study to test the installation of the system including the acuity and placement of sensors and secondly, an in-the-wild study where subjects who were not target users of the toolkit, but who identified as technology enthusiasts evaluated the feasibility of the toolkit to monitor activities in and around real homes. Subjects from the in-the-wild study reported minimal obstructions to installation and were able to carry out and enjoy activities without obstruction from the sensors, revealing that meaningful activities may be monitored remotely using affordable, passive sensors. We propose that our toolkit may enhance assistive living systems by monitoring a wider range of activities than activities of daily living

A reuse-Oriented Approach for the Construction of Scenario Bases Methods

International audienceDespite the recent interest in scenarios, the development of new methods and tools for Requirements Engineering integrating scenario based approaches has been limited. This paper reports on four different processes developed from research undertaken as part of the CREWS project which the authors believe will improve scenario use and make it more systematic. Furthermore CREWS aims to integrate these approaches into a method for scenario-based requirements engineering. To achieve this objective and be able to include existing approaches such as use case analysis we develop a component based approach which reflects a shift towards a reuse-centric approach to method engineering. The paper presents CREWS method and meta-method knowledge through the implementation of an SGML database to store, retrieve and dynamically compose chunks of CREWS processes

Exploring how to use scenarios to discover requirements

This paper investigates the effectiveness of different uses of scenarios on requirements discovery using results from requirements processes in two projects. The first specified requirements on a new aircraft management system at a regional UK airport to reduce its environmental impact. The second specified new work-based learning tools to be adopted by a consortium of organizations. In both projects scenarios were walked through both in facilitated workshops and in the stakeholders’ workplaces using different forms of a scenario tool. In the second project, scenarios were also walked through with a software prototype and creativity prompts. Results revealed both qualitative and quantitative differences in discovered requirements that have potential implications for models of scenario-based requirements discovery and the design of scenario tools

Evaluating the Use of Daily Care Notes Software for Older People with Dementia

There has been little research to investigate the impact of software to support the care for older people with dementia care. This article reports the evaluation of software adapted to support one key person-centered task for the care of older residents with dementia – recording and sharing daily care notes. The evaluation on the dementia wing of 1 residential home for over 6 months revealed that use of the software on mobile devices carried by the carers increased the number and volume of daily care notes recorded, but only for the types of content that were already being recorded by carers. Carers reported more advantages that resulted from daily care notes once in digital form than from the documenting task, as well as barriers to the use of mobile digital software to record daily care notes

Genomic analysis of serogroup Y Neisseria meningitidis isolates reveals extensive similarities between carriage and disease-associated organisms

Background. Neisseria meningitidis is a frequent colonizer of the human nasopharynx with asymptomatic carriage providing the reservoir for invasive, disease-causing strains. Serogroup Y (MenY) strains are a major cause of meningococcal disease. High resolution genetic analyses of carriage and disease isolates can establish epidemiological relationships and identify potential virulence factors. Methods. Whole genome sequence data were obtained from UK MenY carriage isolates from 1997-2010 (n=99). Sequences were compared to those from MenY invasive isolates from 2010 and 2011 (n=73) using a gene-by-gene approach. Results. Comparisons across 1,605 core genes resolved 91% of isolates into one of eight clusters containing closely related disease and carriage isolates. Six clusters contained carried meningococci isolated in 1997-2001 suggesting temporal stability. One cluster of isolates, predominately sharing the designation Y: P1.5-1,10-1: F4-1: ST-1655 (cc23), was resolved into a sub-cluster with 86% carriage isolates and a second with 90% invasive isolates. These subclusters were defined by specific allelic differences in five core genes encoding glycerate kinase (glxK), valine-pyruvate transaminase (avtA), superoxide dismutase (sodB) and two hypothetical proteins. Conclusions. High resolution genetic analyses detected long-term temporal stability and temporally-overlapping carriage and disease populations for MenY clones but also evidence of a disease-associated clone