This thesis focuses on describing The Lean Startup method, and possible ways for its application in a real online project. The thesis also tries to, briefly, compare this method with other alternative methods of software product development. The goal of the thesis is to formulate recommendations for the entrepreneurship in the Internet environment.

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Submitted by Rosivalda Pereira (mrs.pereira@ufma.br) on 2017-07-18T19:31:22Z No. of bitstreams: 1 MadsonMachado.pdf: 3046442 bytes, checksum: 71cc6800f83fdbf38b97607067653f63 (MD5) / Made available in DSpace on 2017-07-18T19:31:22Z (GMT). No. of bitstreams: 1 MadsonMachado.pdf: 3046442 bytes, checksum: 71cc6800f83fdbf38b97607067653f63 (MD5) Previous issue date: 2017-05-26 / The need to increase industrial productivity coupled with quality and low cost requirements has generated a demand for the development of high performance controllers. Motivated by this demand, we presented in this work models, algorithms and a methodology for the online project of high-performance control systems. The models have characteristics of adaptability through adaptive control system architectures. The models developed were based on artificial neural networks of radial basis function type, for the online project of model reference adaptive control systems associated with the of sliding modes control. The algorithms and the embedded system developed for the online project were evaluated for tracking mobile targets, in this case, the solar radiation. The control system has the objective of keeping the surface of the photovoltaic module perpendicular to the solar radiation, in this way the energy generated by the module will be as high as possible. The process consists of a photovoltaic panel coupled in a structure that rotates around an axis parallel to the earth’s surface, positioning the panel in order to capture the highest solar radiation as function of its displacement throughout the day. / A necessidade de aumentar a produtividade industrial, associada com os requisitos de qualidade e baixo custo, gerou uma demanda para o desenvolvimento de controladores de alto desempenho. Motivado por esta demanda, apresentou-se neste trabalho modelos, algoritmos e uma metodologia para o projeto online de sistemas de controle de alto desempenho. Os modelos apresentam características de adaptabilidade por meio de arquiteturas de sistemas de controle adaptativo. O desenvolvimento de modelos, baseia-se em redes neurais artificiais (RNA), do tipo função de base radial (RBF, radial basis function), para o projeto online de sistemas de controle adaptativo do tipo modelo de referência associado com o controle de modos deslizantes (SMC, sliding mode control). Os algoritmos e o sistema embarcado desenvolvidos para o projeto online são avaliados para o rastreamento de alvos móveis, neste caso, o rastreamento da radiação solar. O sistema de controle tem o objetivo de manter a superfície do módulo fotovoltaico perpendicular à radiação solar, pois dessa forma a energia gerada pelo módulo será a maior possível. O processo consiste de um painel fotovoltaico acoplado em uma estrutura que gira em torno de um eixo paralelo à superfície da terra, posicionando o painel de forma a capturar a maior radiação solar em função de seu deslocamento ao longo do dia.

The purposes of this study were to design and to evaluate an online system designed to enhance communication skills and project tracking of computer software courses at Ball State University (BSU). Student Online Project Planning and Tracking System (SOPPTS) was designed and field tested to provide real-time feedback from faculty on student progress, offer online guidance for software project planning, produce tracking automation, and facilitate communication between faculty and students.SOPPTS technology was designed under the supervision of W. Zage and D. Zage, professors in the Computer Science Department at BSU.Participants in this study included six BSU undergraduate students, six BSU graduate students and seven BSU faculty members. Each participant was interviewed for one hour in an instructor's office in the BSU Computer Science Department. With the participants' permission, each interview was audio-taped and coded with a letter and number.Data evaluation consisted of narrative summaries of the interviews, an analysis of the evidence in terms of the research questions and the compilation of data to show both emerging themes and major trends.Analysis of the data showed that learning was definitely enhanced, and that faculty evaluations were also strongly enhanced. Participants recommended more SOPPTS applications, both industrial and academic. The emerging themes showed that faculty and students:1) Had more and easier access to information; students' work was better organized; student team spirit grew; students were more accurately evaluated by instructors;2) Had more efficient methods for report submission and record keeping; students interaction with teachers increased; students found SOPPTS better than email;3) Students and teachers could work from various locations, with greater access to record retrieval and submission of reports, so that documents submitted were available to all instead of getting lost;4) Students were motivated by the nature of online task assignment and tracking because of greater accountability; faculty members were happy to see students' project progress online; 5) Improved time and project management through greater awareness of milestones, deadlines and date/ time "stamping" of report submissions.Major trends show that improved access to information and communication facilitated learning, and that planning and tracking skills improved. / Department of Educational Leadership