2 resultados para Multi-sector models

em Research Open Access Repository of the University of East London.


Relevância:

30.00% 30.00%

Publicador:

Resumo:

Variability management is one of the main activities in the Software Product Line Engineering process. Common and varied features of related products are modelled along with the dependencies and relationships among them. With the increase in size and complexity of product lines and the more holistic systems approach to the design process, managing the ever- growing variability models has become a challenge. In this paper, we present MUSA, a tool for managing variability and features in large-scale models. MUSA adopts the Separation of Concerns design principle by providing multiple perspectives to the model, each conveying different set of information. The demonstration is conducted using a real-life model (comprising of 1000+ features) particularly showing the Structural View, which is displayed using a mind-mapping visualisation technique (hyperbolic trees), and the Dependency View, which is displayed graphically using logic gates.

Relevância:

30.00% 30.00%

Publicador:

Resumo:

This research thesis explored the concept of empathy. The specific purpose was to further understand the idea of empathy in relation to the experience of male support workers who provide residential care to adults with intellectual disabilities (ID) and challenging behaviour. The thesis aimed to provide some insights into how support workers develop and extract meaning from their experiences of relationships with clients and the impact of this on their own self-care, namely, self-compassion. Since personal accounts of experience were required, a qualitative methodology was employed, Interpretative Phenomenological Analysis (IPA) (Smith, 2004). This methodology was selected as it allows for the exploration and interpretation of idiographic lived experience and meaning making. 8 experienced support workers were interviewed using a semi structured interview. Four superordinate themes emerged from the data. These included: 1. Making sense of the others inner world; 2. Processes that enhance empathic practice; 3. Tensions and conflicts, and 4. Management of distressing feelings. Differing accounts of interpreting the needs of clients were identified which helped participants understand, make sense of their interpersonal experience and participate in their role. These included utilising academic knowledge and senses, particularly sight and hearing, which were seemingly complemented by a level of reflective practice. Additionally, to make sense of the experience of a client, they appeared to put themselves in their position, suggesting a form of empathy. Participants appeared to engage in a process of reflection on their relationships with clients, which helped them think about what they had learned about the person’s needs, moreover, this process enabled them to identify some of their own responses and feelings. However, participants seemed to struggle to recognise the occurrence or impact of distressing emotional experience and to express their feelings, possibly in response to a deep sense of responsibility and fear of transferring emotional distress to others. This dilemma of holding two potentially conflicting views of experience seemed to inhibit self-compassion. Although not specifically testing theories of empathy, from the overall findings, it could be suggested that empathy may be a dynamic, transient process that is influenced by reflexivity, values and context. The context in which participants discussed their practice, and situated within their accounts, suggested a sense of confusion and uncertainty. Consequently, it is suggested this impacted on how participants understood and related to clients, and to themselves. There were some specific implications for Counselling Psychology practice, mostly concerning training and supervision. These included recommendations for staff training and supervision, systemic organisational intervention, policy development, recommendations for revisions to models of specialist care frameworks and clinical training.