access_time 02 de julho de 2018 às 15:00 até 02 de julho de 2018 às 17:00
place Anfiteatro PA-3 (Piso -1, Pavilhão de Matemática) IST, Alameda
A Maturity Model is a widely used technique proved valuable to assess business processes or certain aspects of organizations, as it represents a path towards an increasingly organized and systematic way of doing business. A maturity assessment can measure the current maturity level of a certain aspect of an organization in a meaningful way, enabling stakeholders to clearly identify strengths and improvement points, and accordingly prioritize what to do in order to reach higher maturity levels. However, to make that possible, a maturity assessment is necessary. Doing that can range from simple self-assessment questionnaires to full-blown assessment methods, such as recommended by the ISO/IEC 15504 or the SEI CMMI. However, a main caveat of these assessments is the resources they encompass, as well as, a lack of actual automation, which many times renders benchmarks not possible. Assuming that the modeling of business domains is becoming a fact with the wide spread of enterprise architecture practices, and considering the recent state of the art on the representation of enterprise architecture models using ontologies, this dissertation hypothesizes that ontologies can be used to automate maturity models’ assessment methods. To demonstrate the raised hypothesis, we propose a set of solution artifacts which can be structured into two approaches, the first which makes use of description logics queries over architecture model representations converted into an ontology to support the assessment of a given maturity model. The second approach, is the formalization of a maturity model in an ontology comprising its components, rules and assessment criteria that allows the use of ontology reasoners to extract new knowledge from the ontology as a set of maturity or capability levels. These solution artefacts are then implemented using OWL and demonstrated using a set of validation scenarios. The goal is to explore the potentials and limitations of ontologies when used to support maturity models’ assessment methods.
local_offer Prova de Doutoramento
person Candidato: Diogo Alexandre Breites de Campos Proença Nº 74723
supervisor_account Orientador: Prof. José Luís Brinquete Borbinha