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1. Finucci, Brit. Ecology of New Zealand Deep-sea Chondrichthyans.

Degree: 2017, Victoria University of Wellington

Deep-sea chondrichthyans represent nearly half of the known species of sharks, rays, and chimaeras. Most are poorly known, largely due to their historically low economic value, and thus, low prioritization for research efforts and targeted sampling. Globally, many deep-sea fisheries have proven to be unsustainable, as deep-sea species are generally characterised with life history traits, resulting in low biological productivity. Although generally not targeted, there is a lack of data on New Zealand deep-sea chondrichthyans, despite regularly occurring as bycatch, with no mitigation in place to limit catches. This thesis described aspects of life histories for data deficient deep-sea chondrichthyans caught as bycatch in New Zealand deep-sea fisheries. In Chapter II, research trawl survey data were used to describe and evaluate length-weight relationships, which were found to greatly differ from parameters reported by FishBase. This was followed by the application of a set of models to detect changes in weight at length relationships, and assess if these changes correspond to biological or ecological events, such as length-at-maturity or ontogenetic changes in diet. Chapter III evaluates deep-sea chondrichthyan aggregations and social associations. Not all species were found to engage in aggregative behaviour, but those that did suggested patterns of sex- and size-specific associations which varied with catch density. Adult females were caught most frequently in low densities and were highly associated with other adult females, adult males consistently highly associated with each other, and the highest density catches were dominated by juvenile individuals. These trends may be driven by factors such as foraging, predator avoidance or sexual conflict avoidance. Chapters IV, V, and VI examine, respectively, details of the reproduction, life history, and diet of prickly dogfish (Oxynotus bruniensis), longnose spookfish (Harriotta raleighana) and Pacific spookfish (Rhinochimaera pacifica), and brown chimaera (Chimaera carophila) and black ghost shark (Hydrolagus homonycteris). All species were found to have life histories characteristic of low productivity, including reaching maturation at a large proportion of their maximum length, and having low fecundity. Additional novel biological results included: DNA identification of prey revealed that O. bruniensis preyed exclusively on the egg capsules of holocephalans, potentially making it the only known elasmobranch with a diet reliant solely upon other chondrichthyans; sperm storage was confirmed in female H. raleighana, R. pacifica, and C. carophila; and sexual dimorphism in snout length was found in H. raleighana, where male relative snout size increased at sexual maturity, suggesting that the snout is a secondary sexual characteristic. The depth range of most New Zealand deep-sea chondrichthyans may provide some refuge from current fishing activity. However, results from this thesis have suggested that the species examined here have life histories characteristic… Advisors/Committee Members: Dunn, Matt, Jones, Emma.

Subjects/Keywords: Deep-sea; Shark; Chondrichthyan; Fisheries; Life history; Data deficient; Chimaera; New Zealand; Ecology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Finucci, B. (2017). Ecology of New Zealand Deep-sea Chondrichthyans. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6580

Chicago Manual of Style (16th Edition):

Finucci, Brit. “Ecology of New Zealand Deep-sea Chondrichthyans.” 2017. Doctoral Dissertation, Victoria University of Wellington. Accessed July 02, 2020. http://hdl.handle.net/10063/6580.

MLA Handbook (7th Edition):

Finucci, Brit. “Ecology of New Zealand Deep-sea Chondrichthyans.” 2017. Web. 02 Jul 2020.

Vancouver:

Finucci B. Ecology of New Zealand Deep-sea Chondrichthyans. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2017. [cited 2020 Jul 02]. Available from: http://hdl.handle.net/10063/6580.

Council of Science Editors:

Finucci B. Ecology of New Zealand Deep-sea Chondrichthyans. [Doctoral Dissertation]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6580

2. Beranič, Tina. Identifikacija pomanjkljive kode na osnovi mejnih vrednosti programskih metrik.

Degree: 2019, Univerza v Mariboru

Programske metrike so pomemben element procesov zagotavljanja in kontrole kakovosti programskih rešitev. Za njihovo učinkovito uporabo potrebujemo mejne vrednosti, s katerimi lahko med drugim zaznamo tudi pomanjkljivo kodo. Da identificiramo resnično pomanjkljive programske entitete, je potrebno mejne vrednosti programskih metrik določiti na reprezentativen in zanesljiv način. Na osnovi sistematičnega pregleda literature ter primerjave obstoječih pristopov določanja mejnih vrednosti smo izbrano metodo izračuna, ki temelji na statistični analizi in primerjalnih podatkih, nadgradili in uporabili nad 400 projekti v štirih objektnih programskih jezikih. Za devet izbranih metrik smo analizirali sistematično pridobljene mejne vrednosti ter ugotovili, da so odvisne od programskega jezika. Pridobljene mejne vrednosti so osnova v disertaciji predlaganega pristopa k identifikaciji pomanjkljive programske kode. Pristop temelji na kombinaciji programskih metrik, pri čemer je kakovost obravnavanih programskih entitet ovrednotena z uporabo funkcije večine. Z uporabo predlaganega pristopa se število potencialno pomanjkljivih entitet bistveno omeji, zmanjša pa se tudi število lažno pozitivnih rezultatov. Validacijo rezultatov identifikacije smo izvedli s pomočjo potrditvene študije, v sklopu katere je sodelovalo 43 ocenjevalcev, ki so z razvitim orodjem za sodelovanje in podporo presojam ovrednotili 131 entitet v treh različnih programskih jezikih. Strokovne presoje potrjujejo zanesljivost vrednotenja kakovosti razredov na osnovi predlaganega pristopa tako glede natančnosti kot točnosti izvedene identifikacije pomanjkljive programske kode.

An important part of software quality assurance is detecting and managing existing code smells within software. Code smells can be detected with exceeding threshold values of selected software metrics. To provide proper identification, it is important to calculate thresholds in a reliable and representative way, using an appropriate approach. Based on a systematic literature review and a comparison of existing approaches, we used an approach that depends on a statistical analysis of benchmark data, which resulted in different risk areas for nine selected software metrics. They were identified for four object-oriented programming languages and an analysis showed that threshold values are not language independent. Using the derived threshold values, code smell identification was carried out. To increase the reliability of the identification, we combined selected software metrics into five categories that evaluate different aspects of object-oriented software. The proposed approach is based on applying the majority function on a combination of software metrics. An empirical analysis has shown that the combination of categories and consequently, the consideration of more software metrics in the assessment process, can significantly reduce the number of potentially deficient entities. Also, the reliability of code smell detection is increased. To validate the identification of code…

Advisors/Committee Members: Heričko, Marjan.

Subjects/Keywords: kakovost programske opreme,pomanjkljive programske entitete,metrike programske opreme,primerjalni podatki,porazdelitev metričnih vrednosti,primerjava mejnih vrednosti,strokovna presoja; software quality,deficient program entities,software metrics,benchmark data,distribution of metric values,threshold comparison,expert judgment; info:eu-repo/classification/udc/004.4'2:004.415.4(043.3)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Beranič, T. (2019). Identifikacija pomanjkljive kode na osnovi mejnih vrednosti programskih metrik. (Doctoral Dissertation). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=72643 ; https://dk.um.si/Dokument.php?id=131919&dn= ; https://plus.si.cobiss.net/opac7/bib/22002198?lang=sl

Chicago Manual of Style (16th Edition):

Beranič, Tina. “Identifikacija pomanjkljive kode na osnovi mejnih vrednosti programskih metrik.” 2019. Doctoral Dissertation, Univerza v Mariboru. Accessed July 02, 2020. https://dk.um.si/IzpisGradiva.php?id=72643 ; https://dk.um.si/Dokument.php?id=131919&dn= ; https://plus.si.cobiss.net/opac7/bib/22002198?lang=sl.

MLA Handbook (7th Edition):

Beranič, Tina. “Identifikacija pomanjkljive kode na osnovi mejnih vrednosti programskih metrik.” 2019. Web. 02 Jul 2020.

Vancouver:

Beranič T. Identifikacija pomanjkljive kode na osnovi mejnih vrednosti programskih metrik. [Internet] [Doctoral dissertation]. Univerza v Mariboru; 2019. [cited 2020 Jul 02]. Available from: https://dk.um.si/IzpisGradiva.php?id=72643 ; https://dk.um.si/Dokument.php?id=131919&dn= ; https://plus.si.cobiss.net/opac7/bib/22002198?lang=sl.

Council of Science Editors:

Beranič T. Identifikacija pomanjkljive kode na osnovi mejnih vrednosti programskih metrik. [Doctoral Dissertation]. Univerza v Mariboru; 2019. Available from: https://dk.um.si/IzpisGradiva.php?id=72643 ; https://dk.um.si/Dokument.php?id=131919&dn= ; https://plus.si.cobiss.net/opac7/bib/22002198?lang=sl

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