Mått för att mäta kodkvalitet undersystemutvecklingsprocessen

Viljan att hålla en hög kvalitet på den kod som skrivs vid utveckling av system och applikationerär inte något nytt i utvecklingsvärlden. Flera större företag använder sig av olika mått för attmäta kvaliteten på koden i sina system med målet att hålla en hög driftsäkerhet.Trafikverket är en statlig myndighet som ansvarar för driften av bland annat de system somhåller igång Sveriges järnvägsnät. Eftersom systemen fyller en viktig del i att säkra driften ochse till att tågpositioner, planering av avgångar och hantering av driftstörningar fungerar dygnetrunt för hela landet anser de att det är viktigt att sträva efter att hålla en hög kvalitet påsystemen.Syftet med det här examensarbetet var att ta reda på vilka mått som kan vara möjliga attanvända under systemutvecklingsprocessen för att mäta kvaliteten på kod och hur måtten kananvändas för att öka kvaliteten på IT-lösningar. Detta för att redan på ett tidigt stadie kunnamäta kvaliteten på den kod som skrivs i både befintliga och nyutvecklade system.Studien är en fallstudie som utfördes på Trafikverket, de olika måtten som undersöktes varcode coverage, nivån på maintainability index och antalet inrapporterade incidenter för varjesystem. Mätningar utfördes på sju av Trafikverkets system som i analysen jämfördes motantalet rapporterade incidenter. Intervjuer utfördes för att ge en bild över hur arbetssättet vidutveckling kan påverka kvaliteten. Genom litteraturstudier kom det fram ett mått som inte kundeanvändas praktiskt i det här fallet men är högst intressant, detta är cyclomatic complexity somfinns som en del av maintainability index men som även separat påverkar möjligheten att skrivaenhetstest.Resultaten av studien visar att måtten är användbara för ändamålet men bör inte användassom enskilda mått för att mäta kvalitet eftersom de fyller olika funktioner. Det är viktigt attarbetssättet runt utveckling genomförs enligt en tydlig struktur och att utvecklarna både harkunskap om hur man arbetar med enhetstest och följer kodprinciper för strukturen. Tydligakopplingar mellan nivån på code coverage och inflödet av incidenter kunde ses i de undersöktasystemen där hög code coverage ger ett lägre inflöde av incidenter. Ingen korrelation mellanmaintainability index och incidenter kunde hittas.

Understanding older people’s experiences of home care through the capability approach

The core concepts of CA In the theoretical framework of CA, well-being is constituted by a person’s unique way of functioning and capabilities. This means that a person's well-being is personal and involves freedom of choice which in turn means they have a number of options. Although many people may have the same resources, it is of importance to study how these resources are converted into how they function. Thus, wellbeing is about the person's freedom to achieve in general and the capabilities to function in particular (Sen, 1995). Strength of the capability approach The capability approach is a useful tool for matching objective evaluations with subjective metrics. Furthermore, although one’s individual abilities are in focus, contextual factors, and subjective perceptions and experiences, are taken into consideration. Critiques against the CA The capability approach has been criticized for being too individual-centered and not taking sufficient account to social structures in society. It is difficult to know what a person would choose to do if other options were available. Therefore, to operationalize abilities involves uncertainties.

Passive MVC och MVVM designmönster i Android : En jämförelse av kodkomplexitet mellan Passive MVC och MVVM

Det mobila operativsystemet Android är idag ett ganska dominerande operativsystem på den mobila marknaden dels på grund av sin öppenhet men också på grund av att tillgängligheten är stor i och med både billiga och dyra telefoner finns att tillgå. Men idag har Android inget fördefinierat designmönster vilket leder till att varje utvecklare får bestämma själv vad som ska användas, vilket ibland kan leda till onödigt komplex kod i applikationerna som sen blir svårtestad och svårhanterlig. Detta arbete ämnar jämföra två designmönster, Passive Model View Controller (PMVC) och Model View View-Model (MVVM), för att se vilket designmönster som blir minst komplext med hjälp av att räkna fram mätvärden med hjälp av Cyclomatic Complexity Number (CCN). Studien är gjord utifrån arbetssättet Design & Creation och ämnar bidra med: kunskap om vilket mönster man bör välja, samt om CCN kan peka ut vilka delar i en applikation som kommer att ta mer eller mindre lång tid att testa. Under studiens gång tog vi även fram skillnader på om man anväder sig av den så kallade Single Responsibilyt Principle (SRP) eller inte. Detta för att se om separerade vyer gör någon skillnad i applikationernas komplexitet. I slutändan så visar studien på att komplexiteten i små applikationer är väldigt likvärdig, men att man även på små applikationer kan se skillnad på hur komplex koden är men också att kodkomplexitet på metodnivå kan ge riktlinjer för testfall.

Machine Learning Algorithms in Heavy Process Manufacturing

In a global economy, manufacturers mainly compete with cost efficiency of production, as the price of raw materials are similar worldwide. Heavy industry has two big issues to deal with. On the one hand there is lots of data which needs to be analyzed in an effective manner, and on the other hand making big improvements via investments in cooperate structure or new machinery is neither economically nor physically viable. Machine learning offers a promising way for manufacturers to address both these problems as they are in an excellent position to employ learning techniques with their massive resource of historical production data. However, choosing modelling a strategy in this setting is far from trivial and this is the objective of this article. The article investigates characteristics of the most popular classifiers used in industry today. Support Vector Machines, Multilayer Perceptron, Decision Trees, Random Forests, and the meta-algorithms Bagging and Boosting are mainly investigated in this work. Lessons from real-world implementations of these learners are also provided together with future directions when different learners are expected to perform well. The importance of feature selection and relevant selection methods in an industrial setting are further investigated. Performance metrics have also been discussed for the sake of completion.

Personalised Grid Service Discovery

The authors take a broad view that ultimately Grid- or Web-services must be located via personalised, semantic-rich discovery processes. They argue that such processes must rely on the storage of arbitrary metadata about services that originates from both service providers and service users. Examples of such metadata are reliability metrics, quality of service data, or semantic service description markup. This paper presents UDDI-MT, an extension to the standard UDDI service directory approach that supports the storage of such metadata via a tunnelling technique that ties the metadata store to the original UDDI directory. They also discuss the use of a rich, graph-based RDF query language for syntactic queries on this data. Finally, they analyse the performance of each of these contributions in our implementation.

Personalised Grid Service Discovery

We take a broad view that ultimately Grid- or Web-services must be located via personalised, semantic-rich discovery processes. We argue that such processes must rely on the storage of arbitrary metadata about services that originates from both service providers and service users. Examples of such metadata are reliability metrics, quality of service data, or semantic service description markup. This paper presents UDDI-MT, an extension to the standard UDDI service directory approach that supports the storage of such metadata via a tunnelling technique that ties the metadata store to the original UDDI directory. We also discuss the use of a rich, graph-based RDF query language for syntactic queries on this data. Finally, we analyse the performance of each of these contributions in our implementation.

Optimization Of Groundwater Remediation With New Efficient Parallel Algorithm For Global Optimization

Application of optimization algorithm to PDE modeling groundwater remediation can greatly reduce remediation cost. However, groundwater remediation analysis requires a computational expensive simulation, therefore, effective parallel optimization could potentially greatly reduce computational expense. The optimization algorithm used in this research is Parallel Stochastic radial basis function. This is designed for global optimization of computationally expensive functions with multiple local optima and it does not require derivatives. In each iteration of the algorithm, an RBF is updated based on all the evaluated points in order to approximate expensive function. Then the new RBF surface is used to generate the next set of points, which will be distributed to multiple processors for evaluation. The criteria of selection of next function evaluation points are estimated function value and distance from all the points known. Algorithms created for serial computing are not necessarily efficient in parallel so Parallel Stochastic RBF is different algorithm from its serial ancestor. The application for two Groundwater Superfund Remediation sites, Umatilla Chemical Depot, and Former Blaine Naval Ammunition Depot. In the study, the formulation adopted treats pumping rates as decision variables in order to remove plume of contaminated groundwater. Groundwater flow and contamination transport is simulated with MODFLOW-MT3DMS. For both problems, computation takes a large amount of CPU time, especially for Blaine problem, which requires nearly fifty minutes for a simulation for a single set of decision variables. Thus, efficient algorithm and powerful computing resource are essential in both cases. The results are discussed in terms of parallel computing metrics i.e. speedup and efficiency. We find that with use of up to 24 parallel processors, the results of the parallel Stochastic RBF algorithm are excellent with speed up efficiencies close to or exceeding 100%.

Using Just-in-Time Data to Intervene with At-Risk Students

With increasing state and federal policy pressure to increase retention and graduation rates, academic affairs leaders seek metrics to track that predict student success. This report analyzes behavioral, academic, and financial indicators of student risk and suggests actions administrators can take to intervene with students who cross risk thresholds.

Consolidating Program Accreditation Data for Regional Review

Regional accreditors often desire the same metrics and data collected by professional program reviews, but may use different terminologies to describe this information; as a result, some schools must manually translate or even recollect data already stored. This report profiles strategies to proactively consolidate the language and policies of accreditation to avoid duplication of labor and to efficiently route program accreditation data that will be repurposed in regional review. It also suggests ways to select new technologies that can streamline data collection, storage, and presentation.

Using Just in Time Data to Intervene with At-Risk Students

With increasing state and federal policy pressure to increase retention and graduation rates, academic affairs leaders seek metrics to track that predict student success. This report analyzes behavioral, academic, and financial indicators of student risk and suggests actions administrators can take to intervene with students who cross risk thresholds.

Avaliação e desenvolvimento de produtos eletro-eletrônicos orientados ao meio-ambiente

Este trabalho trata sobre um assunto relativamente novo, mas com uma importância cada vez maior no desenvolvimento de produtos. Trata-se do Projeto para o Meio-Ambiente (Design for Environment - DFe). São analisados os aspectos do DFe relacionados com o desenvolvimento de produtos eletro-eletrônicos, abrangendo métricas ambientais, práticas de projeto e métodos de análise de produtos. Estes conhecimentos são aplicados no desenvolvimento de um conjunto de métricas ambientais e de uma metodologia de avaliação ambiental de produtos, a serem adotadas pela Springer Carrier SA no desenvolvimento de seus novos produtos. Esta ferramenta foi criada através da análise de uma ferramenta anterior, desenvolvida nos Estados Unidos, mas incorporou sugestões presentes na literatura e a experiência prática acumulada pelo autor. Este trabalho trata sobre um assunto relativamente novo, mas com uma importância cada vez maior no desenvolvimento de produtos. Trata-se do Projeto para o Meio-Ambiente (Design for Environment - DFe). São analisados os aspectos do DFe relacionados com o desenvolvimento de produtos eletro-eletrônicos, abrangendo métricas ambientais, práticas de projeto e métodos de análise de produtos. Estes conhecimentos são aplicados no desenvolvimento de um conjunto de métricas ambientais e de uma metodologia de avaliação ambiental de produtos, a serem adotadas pela Springer Carrier SA no desenvolvimento de seus novos produtos. Esta ferramenta foi criada através da análise de uma ferramenta anterior, desenvolvida nos Estados Unidos, mas incorporou sugestões presentes na literatura e a experiência prática acumulada pelo autor.

Adaptações do sistema de informações gerenciais para atender necessidades de empresas envolvidas com a implantação do pensamento enxuto: um estudo de caso

The management system based on lean thinking has led to significant changes in the companies that have decided to adopt it. Frequently, those changes do not create a sustainable position coherent with the good results that are obtained. Many are the causes being discussed and analyzed, not only in academia, but also by lean manufacturing institutes and companies. The existing practices related to the managerial information system and the implementation, development, and maintenance of the lean journey may be some of such causes. This dissertation emphasizes whether the changes generated by this type of management are being followed by the managerial information system. The development of such system was in many cases based on mass production, whose principles go against lean manufacturing concepts. Thus, the objective of this dissertation is to verify whether the traditional managerial information system can meet the needs of the companies that adopt lean manufacturing principles. Through a case study based on qualitative and exploratory research in an electronic equipment assembling company, the stage of the implementation of lean thinking concepts at the time of the field research was analyzed, as well as whether the metrics, financial and non financial indicators were suitable for lean principles. The aim of such study was to empirically verify if the criticism found in the existing literature was pertinent or not. The data collected through the analysis of the documentation, the interviews with managers and in loco observation was treated through the content analysis method. The main conclusion of the research is that, although the company in question is investing in training and applying lean principles in its production line and in some administrative activities, the current managerial information system does not demonstrate the specific results obtained with lean principles. However, how changes to the managerial information system will be implemented is yet to be determined. Currently, metrics and indicators aligned with lean management are being added to the managerial reports. As more lean tools are employed, mainly with the consolidation of more value streams, the company has already diagnosed the need for new indicators. The main office has started a diagnosis of measurement and control systems in a product line in one of its affiliates with the goal of studying the possibility of applying the so called lean accounting in the future.

Mensuração de Capacidade Tecnológica no Contexto de Industrialização Recente: Uma Breve Reflexão Crítica Sobre Taxonomias e Evidências de Pesquisas Recentes

This dissertation aims at examining empirical evidences obtained in the light of taxonomies and strategies for measuring firms technological capabilities and innovation in the context of developing countries, motivated by the fact that debates and studies directed to innovation has been intensified, for the last thirty years, by the recognition of its vital and growing importance to the technological, economic, competitive and industrial development of firms and countries. Two main tendencies can be identified on this debate. At one side, it¿s the literature related to the developed countries logic, whose companies are, in majority, positioned at the technological frontier, characterized by the domain of innovative advanced capabilities, directed to its sustaining, deepening and renewal. At the other side, there are the perspectives directed to the developing countries reality, where there is a prevalence of companies with deficiency of resources, still in process of accumulating basic and intermediate technological capabilities, with characteristics and technological development trajectories distinct or even reverse from those of developing countries. From this last tradition of studies, the measuring approaches based in C&T indicators and in types and levels of technological capabilities stand out. The first offers a macro level, aggregated perspective, through the analysis of a representative sample of firms, seeking to the generation of internationally comparable data, without addressing the intraorganizational specificities and nuances of the paths of technological accumulation developed by the firms, using, mostly, R&D statistics, patents, individual qualifications, indicators that carry their own limitations. On the other hand, studies that examine types and levels of technological capabilities are scarce, usually directed to a small sample of firms and/or industrial sectors. Therefore, in the light of the focus and potentialities of each of the perspectives, this scenario exposes a lack of studies that examine, in a parallel and complementary way, both types of strategies, seeking to offer more realistic, consistent and concrete information about the technological reality of developing countries. In order to close this gap, this dissertation examines (i) strategies of innovation measurement in the contexts of developing countries based on traditional approaches and C&T indicators, represented by four innovation surveys - ECIB, PINTEC, PAEP and EAI, and, (ii) from the perspective of technological capabilities as an intrinsic resource of the firm, the development of which occurs in a cumulative way and based on learning, presents and extracts generalizations of empirical applications of a metric that identifies types and levels of technological capabilities, through a dynamic and intra-firm perspective. The exam of the empirical evidences of the two approaches showed what each one of the metrics are capable to offer and the way they can contribute to the generation of information that reflect the technological development of specific industrial sectors in developing countries. In spite of the fact that the focus, objective, perspective, inclusion, scope and lens used are substantially distinct, generating, on a side, an aggregated view, and of other, an intra-sector, intra-organizational and specific view, the results suggest that the use of one doesn't implicate discarding or abdicating the other. On the contrary, using both in a complementary way means the generation of more complete, rich and relevant evidences and analysis that offer a realistic notion of the industrial development and contribute in a more direct way to the design of corporate strategies and government policies, including those directed to the macro level aspects just as those more specific and focused, designed to increment and foment firms in-house innovative efforts.