Developments since the 20th century indicate that the wellbeing of communities makes for healthy national welfare in strong countries. Community wellbeing is thus a priority for policy makers and service providers. Conceptualization of a meaningful, holistic multidimensional measurement of community wellbeing at micro (community) level has been lacking. Such a concept and its measurement are essential when addressing social exclusion and development issues in the enhancement of community wellbeing is to produce worthwhile results. There is growing recognition that earlier understanding of community wellbeing failed to address development needs and processes at community level. Outsider stakeholder driven top-down one-dimensional community wellbeing (‘silo’) measurements did not address human development needs at community level. Meaningful measurement requires integrated frameworks addressing multidimensional issues conceptualizing wellbeing measurement at community level. Such measurement needs to be combined with the integrated inclusion of social capital influence through ‘insider-outsider’ partnerships. The research study purpose was to develop a community driven holistic, integrative wellbeing assessment model. This model could assist ‘insiders’ (community members) and ‘outsiders’ (policy makers, service providers and community development practitioners) in developing and implementing community driven initiatives towards improved wellbeing. The two main research questions were: 1) which macro level wellbeing assessment factors to consider in an aligned micro level wellbeing assessment? and 2) what is the associative relationship between wellbeing and social capital? Two descriptive sample surveys were conducted utilizing a structured questionnaire. Primary data findings contributed to finalization of a community level wellbeing assessment model. This model would enable estimation of the potential (push and pull) factors that influence the targeted success of suggested community development processes. The assessment model is community driven and owned, with spider and quadrant diagram graph tools indicating first the status of community wellbeing and social capital, then the associative relationships of wellbeing and social capital in ‘insider-outsider’ initiatives for wellbeing enhancement. / Development Studies / D. Phil. (Development Studies)

To refine our knowledge and to adequately test hypotheses concerning theoretical and applied aspects of invasion biology, successful and unsuccessful invaders should be compared. This study investigated insect establishment patterns by comparing the climatic preferences and biological attributes of two groups of polyphagous insect species that are constantly intercepted at New Zealand's border. One group of species is established in New Zealand (n = 15), the other group comprised species that are not established (n = 21). In the present study the two groups were considered to represent successful and unsuccessful invaders. To provide background for interpretation of results of the comparative analysis, global areas that are climatically analogous to sites in New Zealand were identified by an eco-climatic assessment model, CLIMEX, to determine possible sources of insect pest invasion. It was found that south east Australia is one of the regions that are climatically very similar to New Zealand. Furthermore, New Zealand shares 90% of its insect pest species with that region. South east Australia has close trade and tourism links with New Zealand and because of its proximity a new incursion in that analogous climate should alert biosecurity authorities in New Zealand. Other regions in western Europe and the east coast of the United States are also climatically similar and share a high proportion of pest species with New Zealand. Principal component analysis was used to investigate patterns in insect global distributions of the two groups of species in relation to climate. Climate variables were reduced to temperature and moisture based principal components defining four climate regions, that were identified in the present study as, warm/dry, warm/wet, cool/dry and cool/moist. Most of the insect species established in New Zealand had a wide distribution in all four climate regions defined by the principal components and their global distributions overlapped into the cool/moist, temperate climate where all the New Zealand sites belong. The insect species that have not established in New Zealand had narrow distributions within the warm/wet, tropical climates. Discriminant analysis was then used to identify which climate variables best discriminate between species presence/absence at a site in relation to climate. The discriminant analysis classified the presence and absence of most insect species significantly better than chance. Late spring and early summer temperatures correctly classified a high proportion of sites where many insect species were present. Soil moisture and winter rainfall were less effective discriminating the presence of the insect species studied here. Biological attributes were compared between the two groups of species. It was found that the species established in New Zealand had a significantly wider host plant range than species that have not established. The lower developmental threshold temperature was on average, 4°C lower for established species compared with non-established species. These data suggest that species that establish well in New Zealand have a wide host range and can tolerate lower temperatures compared with those that have not established. No firm conclusions could be drawn about the importance of propagule pressure, body size, fecundity or phylogeny for successful establishment because data availability constrained sample sizes and the data were highly variable. The predictive capacity of a new tool that has potential for eco-climatic assessment, the artificial neural network (ANN), was compared with other well used models. Using climate variables as predictors, artificial neural network predictions were compared with binary logistic regression and CLIMEX. Using bootstrapping, artificial neural networks predicted insect presence and absence significantly better than the binary logistic regression model. When model prediction success was assessed by the kappa statistic there were also significant differences in prediction performance between the two groups of study insects. For established species, the models were able to provide predictions that were in moderate agreement with the observed data. For non-established species, model predictions were on average only slightly better than chance. The predictions of CLIMEX and artificial neural networks when given novel data, were difficult to compare because both models have different theoretical bases and different climate databases. However, it is clear that both models have potential to give insights into invasive species distributions. Finally the results of the studies in this thesis were drawn together to provide a framework for a prototype pest risk assessment decision support system. Future research is needed to refine the analyses and models that are the components of this system.

Abstract Software process assessment and improvement came under the spotlight in the discussion of software engineering when the Software Engineering Institute published the maturity model for software process capability determination in 1987. Since then, several new approaches and standards have been developed. This thesis introduces a European software process assessment and improvement methodology called BOOTSTRAP, which was initially developed in an ESPRIT project starting from lean and kaizen philosophy. The focus is on the evolution of methodology and how it was developed, using an experimental research approach. The work covers also enhancements to the methodology investigated in the SPICE, PROFES and TAPISTRY projects. The enhancements expand the original methodology into new specific application areas, keep it compliant with new quality standards and certification, improve the efficiency of the assessment method, enhance the focus from process to product and strengthen improvement monitoring and support. To address these areas, the new BOOTSTRAP methodology releases offer tailored and enhanced assessment reference models and enhanced assessment and improvement methods. The new features also facilitate more frequent and even continuous assessments with software measurement-based indicators. The thesis explains the origin and features of BOOTSTRAP software process assessment and improvement methodology and how it was developed for professional use. The discussion starts with the evolution of the methodology. Then the new trends and demands are introduced and new features of the BOOTSTRAP methodology described. The conclusion discusses how the methodology developed to be able successfully to support professional software process assessment, to align it with the evolution of software engineering, to adopt the features and requirements of the underlying standards in order to conform to the requirements set by ISO 15504 standard and to become validated in practice. / Tiivistelmä Ohjelmistoprosessin arvioinnista ja parantamisesta tuli ohjelmistotekniikan keskeinen kiinnostuksen kohde kun Carnegie-Mellon yliopiston ohjelmistotekniikan instituutti SEI julkaisi kypsyysmallinsa ohjelmistoprosessin kyvykkyyden arviointiin vuonna 1987. Siitä lähtien maailmalla on syntynyt lukuisa määrä uusia malleja ja standardeja tälle alueelle. Tässä väitöskirjassa esitellään eurooppalainen ohjelmistoprosessin arviointi- ja parantamismenetelmä BOOTSTRAP, joka kehitettiin alun perin Euroopan unionin ESPRIT tutkimusohjelman rahoittamassa projektissa lähtien japanilaisesta ohut-ajattelusta (Lean) ja sen jatkuvan parantamisen periaatteesta (Kaizen). Esitys keskittyy menetelmän kehittymiseen ja siihen miten menetelmä käytännössä kehitettiin käyttäen kokeellista tutkimustapaa teollisessa ympäristössä. Työ kattaa myös alkuperäiseen menetelmään tehdyt laajennukset, jotka syntyivät yhteistyössä SPICE, PROFES ja TAPISTRY projekteissa tehdyn tutkimuksen tuloksena. Tehdyt laajennukset mahdollistavat menetelmän käytön uusilla sovellusalueilla, takaavat menetelmän yhteensopivuuden alan laatu- ja sertifiointistandardien kanssa, parantavat menetelmän tehokkuutta, laajentavat menetelmän käyttöaluetta prosessin arvioinnista sisältämään myös tuotteen kehittämisen arvioinnin ja vahvistavat parantamisen seurantaa ja tukemista. Toteuttaakseen näiden uusien ominaisuuksien vaatimukset uudet BOOTSTRAP menetelmän julkistukset tarjoavat räätälöityjä ja laajennettuja mallikuvauksia arviointien tekemiseksi sekä entistä täydellisempiä lähestymistapoja arviointien suorittamiselle ja parantamiselle. Menetelmän uudet ominaisuudet mahdollistavat myös usein toistuvien arviointien suorittamisen ja jopa jatkuvan arvioinnin ohjelmisto-mittauksia hyödyntäen. Väitöskirjassa kuvataan yksityiskohtaisesti BOOTSTRAP menetelmän lähtö-kohdat ja ominaisuudet ja se kuinka menetelmä onnistuttiin kehittämään ammattimaiseen ohjelmistoprosessin arviointiin ja parantamiseen sopivaksi. Ensin kuvataan menetelmän kehittyminen ja sitten edetään alan uusien kehitystrendien ja vaatimusten esittelyyn siihen kuinka BOOTSTRAP menetelmä uudet ominaisuudet vastaavat näihin vaatimuksiin. Yhteenvedossa osoitetaan kuinka kehittämisessä onnistuttiin saamaan aikaan uusi menetelmä, joka sopii ammattimaiseen ohjelmistoprosessin arviointiin, vastaa kaikilta osin alan kehittymisen vaatimuksia, sisältää alan standardien vaatimukset täyttävät käytännössä koestetut ominaisuudet, jotka takaavat menetelmän vastaavuuden ISO 15504 standardin vaatimuksiin.