Continuous integration, continuous delivery och continuous deployment har blivit väldigt viktiga inom systemutveckling eftersom de hjälper att säkerställa att en programvara håller sig till en viss kvalité samt att den snabbt kan levereras till slutanvändarna. Organisationer som tidigare använde continuous practices i samband med mer traditionella programvaror som till exempel webb-, server- och skrivbordsapplikationer försöker idag även implementera continuous practices i samband med mobila applikationer som till exempel hybrida appar. Bygg- och leveransprocessen för hybrida mobila applikationer består av många steg som ska göras i rätt ordning. När den processen utförs manuellt ökar det risken för att en app inte kommer att hålla en genomgående hög kvalité samt att det kan bli svårt att säkerställa att appen kan levereras vid behov till slutanvändarna. Det kan bero på flera faktorer. En av dessa faktorer är att människor inte är bra på att utföra långa och upprepbara processer och begår därför ofta fel och misstag. Tidigare studier som gjordes inom continuous integration, -delivery och -deployment saknar hur continuous practices kan appliceras till bygg- och leveransprocessen för hybrida mobila applikationer samt hur det kan göras i en organisation där det finns en existerande bygg- och leveransplattform. På grund av det utfördes den här studien med syftet att skapa en IT-artefakt i form av en pipeline som kan minska eller utesluta mänsklig påverkan på bygg- och leveransprocessen för hybrida mobila applikationer. Studien genomfördes med Action Design Research som bestod av tre iterationer och resulterade i en IT-artefakt i form av en pipeline som kunde utföra automatisk bygg och leverans av hybrida mobila applikationer. Förutom IT-artefakten kunde även ett antal designprinciper identifieras som var lämpliga när en pipeline för hybrida appar formades. Studiens resultat visade att med hjälp av continuous practices är det möjligt att automatisera bygg och leverans av hybrida appar samt att det går att implementera en pipeline för hybrida appar i en bygg- och leveransplattform som används för andra typer av programvaror.

Too often, the truth behind a phenomenon is not sought through the perspectives of the people who lived that phenomenon—“the masters of inquiry” into their own realities, as Paulo Freire (1982, p. 29) has explained. Voice is the most powerful, reliable medium for collecting data based on lived experiences, if we are to gain genuine insight into the phenomenon (Freire, 1982). Focusing on the lived experiences of four formerly incarcerated young men of color, this study gave each participant the space to not only recall specific events and times, but to critically reflect on their lives—becoming more critically aware of their individual journeys and constructing new knowledge of the injustices that relate to the school-to-prison pipeline, including recommendations for change. This study sought to answer the following research questions through the voices of the participants: (a) Based on their collective and individual journeys through the juvenile justice system, how do formerly incarcerated youth describe their experiences? (b) What recommendations do formerly incarcerated young men have for reducing youth incarceration and recidivism rates? The participants provided rich narratives that answered each research question with the expert knowledge that can only be derived from firsthand experience. Through careful analysis of the data, several major themes emerged, tying together the experiences of each participant with the findings from the literature. Each participant spoke passionately on not only the need for change, but also specific recommendations for change. It is the power of their poignant insights that ground conclusions offered in this study.

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[pt] O presente trabalho apresenta evidências e visa confirmar as tendências gerais de que reparos feitos de materiais compósitos podem ser utilizados para restaurar completamente a integridade estrutural, desconsiderando efeitos de tempo, de segmentos de dutos que apresentam anomalias (defeitos) de perda de metal em sua superfície externa, causados por corrosão ou erosão. Sete espécimes tubulares de API 5L Gr. B e dez espécimes tubulares de API 5L X65 foram testados até a ruptura por meio de testes hidrostáticos monotônicos, com diâmetro externo nominal de 323,9 mm e espessura nominal de 8,38 mm. Duas amostras testadas não tinham defeitos. Seis espécimes apresentavam defeitos e não foram reparados. Nove espécimes apresentavam defeitos e foram reparados usando três sistemas de reparo de compósito diferentes. Os defeitos continham profundidades variando entre 40 por cento, 55 por cento e 70 por cento da espessura do tubo. Os reparos foram baseados em compósitos de epóxi e fibra de carbono, epóxi e fibra de vidro, e poliuretano e fibra de vidro. (FREIRE, VIEIRA, et al., 2019) Para a constatação dos resultados experimentais foram implementadas metodologias analíticas e numéricas. O método analítico utiliza equações normativas semiempíricas (ISO 24817) e da teoria de reparos para dutos (Equação de Equilíbrio). A avaliação numérica consiste no método de elementos finitos para modelagem do problema através do software ANSYS (marca registrada). Os sistemas de reparo dos três fornecedores mostraram ser eficazes e que reparos de compósitos podem restaurar completamente a integridade estrutural de dutos com defeito externo, desconsiderando efeitos de tempo, conforme o Fator de Resistência Remanescente (RSF) calculado. Os resultados dos testes mostraram que métodos analíticos e numéricos podem ser usados para compreensão do comportamento mecânico do problema. / [en] The present work presents evidence and aims to confirm general trends that repairs made of composite materials can be used to completely restore the structural integrity, disregarding the effects of aging, of pipeline segments that show anomalies (defects) in metal loss on their external surface, as a result by corrosion or erosion. Seven tubular specimens of API 5L Gr. B and ten tubular specimens of API 5L X65 were tested to rupture using monotonic hydrostatic tests, with a nominal external diameter of 323.9 mm and a nominal thickness of 8.38 mm. Two samples tested had no defects. Six specimens were defective and were not repaired. Nine specimens were defective and were repaired using three different composite repair systems. The defects contained depths ranging from 40 percent, 55 percent and 70 percent of the tube thickness. The repair systems were based on composites of epoxy and carbon fiber, epoxy and fiberglass, and polyurethane and fiberglass. (FREIRE, VIEIRA, et al., 2019) To verify the experimental results, analytical and numerical methodologies were implemented. The analytical method uses semi-empirical normative equations (ISO 24817 and ASME PCC-2) and repair theory for pipelines (Equilibrium Equation). Numerical evaluation consists of the finite element method for modeling the problem using ANSYS (trademark) software. The repair systems of the three suppliers proved to be effective according to the Remaining Resistance Factor (RSF) calculated, disregarding the effect of aging. The test results showed that analytical and numerical methods can be used to understand the mechanical behavior of the problem and that composite repairs can completely restore the structural integrity of pipelines with a loss in external wall thickness, avoiding production downtime and reducing the risk of accidents.

Styrd borrning är en schaktfri metod för att förlägga ledningar i mark. Examensarbetet har utförts i samarbete med Styrud Ingenjörsfirma AB som uppfattat en okunskap i branschen över prisbilden för styrd borrning. Syftet med arbetet är att utföra en kostnadsanalys för att beskriva hur styrd borrning står sig ekonomiskt mot konventionell schaktning. Arbetet undersöker även vilka faktorer som påverkar en eventuell ekonomisk brytpunkt, vilken i detta arbete definieras som den punkt när en viss metod blir det ekonomiskt gynnsamma alternativet. Studien har utformats för att så objektivt som möjligt belysa ämnet med utgångspunkten att göra metoderna jämförbara analytiskt. För att genomföra en analys har en beräkningsmodell skapats. Målet med modellen och dess utformning är att den enkelt skall gå att bygga vidare på och utvecklas i framtiden samt att användas av projektörer som en fingervisning tidigt i projekteringsstadiet. Från beräkningsmodellen har 70 fiktiva fall studerats. Resultatet visar att styrd borrning är billigare i 73% av fallen. I övriga fall tyder resultatet på att styrd borrning som metod generellt sett inte är så dyrt att övervägning att använda metoden försvinner. Genom resultat och analys dras slutsatsen att styrd borrning i de flesta fall står sig ekonomiskt starkt som alternativ till konventionell schaktning. / Horizontal directional drilling is a trenchless method used to install pipelines underground. This thesis is conducted in collaboration with Styrud Ingenjörsfirma AB, who perceived lacking knowledge within the industry regarding the financial aspects of directional drilling. The purpose of this thesis is to carry out a cost analysis that defines how directional drilling stands financially against traditional excavation. The study also intends to describe which factors that influence a possible economic breakpoint, in this study referring to when a certain method becomes the economically strongest alternative. This thesis has been carried out to as objectively as possible describe the topic focusing on making the methods analytically comparable. To carry out the analysis, an economic model has been created. The model and its design have been created in a manner that makes it easy to develop it in the future and aims to act as a guide for project planners to indicate which method to proceed with. From the economic model, 70 cases have been studied. The result shows that directional drilling is cheaper in 73% of the cases. In the rest of the cases, the result suggests that directional drilling as a method generally is not so expensive that consideration of using the method disappears. Through results and analysis, it is concluded that directional drilling in most cases is a strong alternative to traditional excavation from an economic standpoint.

Разработана экономическая модель формирования инвестиций в попериодный горизонт до 15,30,50 лет и требуемой ставке дохода с применением функции «формирования фонда возмещения» определены равномерные периодические платежи, необходимые для получения итогового объема инвестиций в будущем. / An economic model has been developed for the formation of investments in a period horizon of up to 15,30,50 years and the required rate of return using the function of "formation of the compensation fund" determined uniform periodic payments necessary to obtain the final volume of investments in the future.

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Abstract Predicting Location and Training Effectiveness (PLATE) Erik Bruenner Physical activity and exercise have been shown to have an enormous impact on many areas of human health and can reduce the risk of many chronic diseases. In order to better understand how exercise may affect the body, current kinesiology studies are designed to track human movements over large intervals of time. Procedures used in these studies provide a way for researchers to quantify an individual’s activity level over time, along with tracking various types of activities that individuals may engage in. Movement data of research subjects is often collected through various sensors, such as accelerometers. Data from these specialized sensors may be fed into a deep learning model which can accurately predict what movements a person is making based on aggregated sensor data. However, in order for prediction models to produce accurate classifications of activities, they must be ‘trained’. Training occurs through the process of supervised learning on large amounts of data where movements are already known. These training data sets are also known as ‘validation’ data or ‘ground truth’. Currently, generation of these ground truth sets is very labor-intensive. To generate these labeled data sets, research assistants must analyze many hours of video footage with research subjects. These research assistants painstakingly categorize each video, second by second, with a description of the activity the subject was engaging in. Using only labeled video, the PLATE project facilitates the generation of ground truth data by developing an artificial intelligence (AI) that predicts video quality labels, along with labels that denote the physical location that these activities occurred in. The PLATE project builds on previous work by a former graduate student, Roxanne Miller. Miller developed a classification system to categorize subject activities into groups such as ‘Stand’, ‘Sit’, ‘Walk’, ‘Run’, etc. The PLATE project focuses instead on development of AI to generate ground truth training in order to accurately detect and identify the quality of video data, and the location of the video data. In the context of the PLATE project, video quality refers to whether or not a test subject is visible in the frame. Location classifications include categorizing ‘indoors’, ‘outdoors’, and ‘traveling’. More specifically, indoor categories are further identified as ‘house’, ‘office’, ‘school’, ‘store’ or ‘commercial’ space. Outdoor locations are further classified as ‘commercial space’, ‘park/greenspace’, ‘residential’ or ‘neighborhood’. The nature of our location classification problem lends itself particularly well to a hierarchical classification approach, where general indoor, outdoor, or travel categories are predicted, then separate models predict the subclassifications of these categories. The PLATE project uses three convolutional neural networks in its hierarchical location prediction pipeline, and one convolutional neural network to predict if video frames are high or low quality. Results from the PLATE project demonstrate that quality can be predicted with an accuracy of 96%, general location with an accuracy of 75%, and specific locations with an accuracy of 31%. The findings and model produced by the PLATE project are utilized in the PathML project as part of a ground truth prediction software for activity monitoring studies. PathML is a project funded by the NIH as part of a Small Business Research Initiative. Cal Poly partnered with Sentimetrix Inc, a data analytics/machine learning company, to build a methodology for automated labeling of human physical activity. The partnership aims to utilize this methodology to develop a software tool that performs automatic labeling and facilitates the subsequent human inspection. Phase I (proof of concept) of the project took place from September 2021 to August 2022, Phase II (final software production) is pending. This thesis is part of the research that took place during Phase I lifetime, and continues to support Phase II development.

Software systems are becoming increasingly complex, with developers frequentlyutilizing numerous dependencies. In this landscape, accurate tracking and understanding of dependencies within JavaScript and TypeScript codebases are vital formaintaining software security and quality. However, there exists a gap in how existing vulnerability scanning tools, such as Dependabot, convey information aboutthe usage of these dependencies. This study addresses the problem of providing amore comprehensive dependency usage overview, a topic critical to aiding developers in securing their software systems. To bridge this gap, a custom pipeline wasimplemented to supplement Dependabot, extracting the dependencies identified asvulnerable and providing specific information about their usage within a repository.The results highlight the pros and cons of this approach, showing an improvement inthe understanding of dependency usage. The effort opens a pathway towards moresecure software systems.

Software companies spend a lot of resources on debugging, a process where previous solutions can help in solving current problems. The bug tickets, containing this information, are often time-consuming to read. To minimize the time spent on debugging and to make sure that the knowledge from prior solutions is kept in the company, an evaluation was made to see if summaries could make this process more efficient. Abstractive and extractive summarization models were tested for this task and fine-tuning of the bert-extractive-summarizer was performed. The model-generated summaries were compared in terms of perceived quality, speed, similarity to each other, and summarization length. The average description summary contained part of the description needed and the found solution was either well documented or did not answer the problem at all. The fine-tuned extractive model and the abstractive model BART provided good conditions for generating summaries containing all the information needed. / Vid mjukvaruutveckling går mycket resurser åt till felsökning, en process där tidigare lösningar kan hjälpa till att lösa aktuella problem. Det är ofta tidskrävande att läsa felrapporterna som innehåller denna information. För att minimera tiden som läggs på felsökning och säkerställa att kunskap från tidigare lösningar bevaras inom företaget, utvärderades om sammanfattningar skulle kunna effektivisera detta. Abstrakta och extraherande sammanfattningsmodeller testades för uppgiften och en finjustering av bert-extractive- summarizer gjordes. De genererade sammanfattningarna jämfördes i avseende på upplevd kvalitet, genereringshastighet, likhet mellan varandra och sammanfattningslängd. Den genomsnittliga sammanfattningen innehöll delar av den viktigaste informationen och den föreslagna lösningen var antingen väldokumenterad eller besvarade inte problembeskrivningen alls. Den finjusterade BERT och den abstrakta modellen BART visade goda förutsättningar för att generera sammanfattningar innehållande all den viktigaste informationen.