Essays about: "Learning from Failure."
Showing result 31 - 35 of 129 essays containing the words Learning from Failure..
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31. Utilizing Hybrid Ensemble Prediction Model In Order to Predict Energy Demand in Sweden : A Machine-Learning Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Conventional machine learning (ML) models and algorithms are constantly advancing at a fast pace. Most of this development are due to the implementation of hybrid- and ensemble techniques that are powerful tools to complement and empower the efficiency of the algorithms. READ MORE
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32. Testprioritering med stöd av maskininlärning
University essay fromAbstract : Regression testing is an integral part of the continuous integration software development practice. As testing suites grow larger and execution time increases the development cycle slows down. By prioritizing tests within a given test suite development time can be optimized if tests more likely to fail are executed first. READ MORE
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33. Application failure predictions from neural networks analyzing telemetry data
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : ith the revolution of the internet, new applications have emerged in our daily life. People are dependent on services for transportation, bank matters, and communication. Services availability is crucial for their survival and competition against other service providers. Achieving good availability is a challenging task. READ MORE
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34. Shaping The Workforce For Tomorrow - Today
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : The labor market for IT-oriented professions, especially software engineers, is characterized by extensive skills gaps due to fast-evolving technology. The purpose of this thesis is to shed light on the work toward closing the skills gap in IT-oriented professions, especially for software engineers, by providing suggestions on how the workforce can be prepared with the skills needed for tomorrow - already today. READ MORE
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35. Development of a Software Reliability Prediction Method for Onboard European Train Control System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Software prediction is a complex area as there are no accurate models to represent reliability throughout the use of software, unlike hardware reliability. In the context of the software reliability of on-board train systems, ensuring good software reliability over time is all the more critical given the current density of rail traffic and the risk of accidents resulting from a software malfunction. READ MORE