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A utilização de modelos e técnicas de estimativas de projetos de software auxilia na busca contínua por projetos cada vez mais coesos, que terminem dentro do prazo e orçamento previsto. Estimativas de tamanho, esforço e prazo são baseadas em uma vasta quantidade de variáveis que ajudam a atingirmos um valor próximo do real. Entretanto, atualmente as organizações buscam não apenas melhorar a estimativa de seus projetos em relação a tamanho, esforço e prazo. É necessário que o produto apresente qualidade dentro de um nível aceitável e solicitado pelo cliente. Como estimar essa qualidade? Baseado em quais variáveis conseguiremos estimar a qualidade de um produto? Pesquisas de satisfação junto ao cliente é uma boa saída, porém somente funciona quando o projeto já foi entregue e o produto está em uso. Encontrar um modelo adequado, passivo de calibração e que envolva as variáveis corretas é o desafio de muitas empresas, e essa foi uma das finalidades desse estudo. Encontrar um modelo preditivo de qualidade, que possa facilmente ser usado e seja baseado em fatores e variáveis conhecidos. A proposta desse trabalho é estudar e apresentar um modelo que surgiu como extensão do modelo COCOMO II (COnstructive COst MOdel), que tem por finalidade estimar a qualidade de um projeto de software baseado na predição de defeitos, usando características específicas do projeto já levantadas através do modelo COCOMO II, auxiliando gerentes de projetos a determinar a qualidade do produto baseado na densidade de defeitos que por sua vez é um excelente modo de identificar a confiabilidade do produto. Este modelo é o COQUALMO (COnstructive QUALity MOdel).
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Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
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In this webinar, members learned the ABCs of keeping books for a nonprofit organization. Some of the key takeaways were: - What is accounting and how does it work? - How do you read a financial statement? - What are the three things that nonprofits are required to track? -And more
Introduction to Nonprofit Accounting: The Basics
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This presentation was provided by William Mattingly of the Smithsonian Institution, during the third segment of the NISO training series "AI & Prompt Design." Session Three: Beginning Conversations, was held on April 18, 2024.
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
National Information Standards Organization (NISO)
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Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
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Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
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SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
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Andreas Schleicher, Director for Education and Skills at the OECD, presents at the webinar No Child Left Behind: Tackling the School Absenteeism Crisis on 30 April 2024.
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
EduSkills OECD
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General introduction about Microwave assisted reactions.
microwave assisted reaction. General introduction
microwave assisted reaction. General introduction
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Kallidus experts, Lucinda Hensley and Justine Swain, share their insights about the do's and don'ts of accessible design.
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
dawncurless
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Student login on Anyboli platform.helpin
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Measures of Central Tendency: Mean, Median and Mode
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Introduction to Nonprofit Accounting: The Basics
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Mattingly "AI & Prompt Design: The Basics of Prompt Design"
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Sports & Fitness Value Added Course FY..
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Measures of Dispersion and Variability: Range, QD, AD and SD
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Código Creativo y Arte de Software | Unidad 1
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SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
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Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
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social pharmacy d-pharm 1st year by Pragati K. Mahajan
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microwave assisted reaction. General introduction
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Accessible design: Minimum effort, maximum impact
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