Essays about: "RP techniques"
Showing result 1 - 5 of 7 essays containing the words RP techniques.
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1. A Systematic Literature Review on the Scalability Issues in Software Requirements Prioritization
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Context: Prioritizing requirements is an important process that plays a vital role in producing a successful quality system by selecting high-risk requirements for implementation. Several studies have been conducted to analyze the performance of existing RP techniques. READ MORE
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2. Towards Understanding How Human Aspects Affect Requirements Prioritization
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Background and Motivation. Requirements engineering is decision intensiveand involves many roles and stakeholders. As humans are often subjective in theirdecision-making and biased by subjective criteria, we are interested in exploring howthis impacts requirements prioritization. READ MORE
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3. Design of a Level Sensing System for the Propellant Tank of a Microlauncher
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The present report aims to show the development process of a liquid level sensing system for the use within the propellant tanks of a launch vehicle. Whereas many recent launchers use discrete level sensing systems to indicate the amount of fuel on defined spots like fill-stop and engine cut-off, in this report a continuous capacitance based sensor probe is described. READ MORE
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4. A Framework to Incorporate Industry 4.0 into SME to Enhance Resource Planning
University essay from Mälardalens högskola/Innovation och produktrealiseringAbstract : Small and Medium-sized Enterprises (SMEs) have grown steadily in recent years. SMEs generate 59.7 % of value-added and 65.5 % of employment in the ‘non-financial business economy’ in Sweden. READ MORE
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5. Optimizing Deep Neural Networks for Classification of Short Texts
University essay from Luleå tekniska universitet/DatavetenskapAbstract : This master's thesis investigates how a state-of-the-art (SOTA) deep neural network (NN) model can be created for a specific natural language processing (NLP) dataset, the effects of using different dimensionality reduction techniques on common pre-trained word embeddings and how well this model generalize on a secondary dataset. The research is motivated by two factors. READ MORE