Essays about: "Code anomalies"
Showing result 1 - 5 of 6 essays containing the words Code anomalies.
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1. Adaptive Tactics in Software Operations: How People Manage Complexity by Asking for Help
University essay from Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetAbstract : Society relies on the continued operation of software systems, from healthcare to social media platforms. These systems can be engineered to be highly reliable, but complexity assures surprise. People have the ability to manage this complexity, filling gaps in design by recognizing, diagnosing and correcting anomalies. READ MORE
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2. Analysis of Code Smells and Anomalies in Modern Web Software
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Code anomalies, also known as code smells, are any characteristics in software code that indicate amore severe problem exists deep in the code. These anomalies do not always prevent a system fromfunctioning, but they can restrict development and increase the difficulty of maintaining the software. READ MORE
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3. Improving Software Testing in an Agile Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Software development has evolved at an ever-increasing pace over the past years, one of the forces behind this acceleration is the move from on-premise application to cloud- based software: Software as a service (SaaS). Cloud computing has changed the way applications are deployed used and tested. READ MORE
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4. DETECTION of INFRASTRUCTURE ANOMALIES in BUILD LOGS USING MACHINE LEARNINGText classification on Continous Integration log files.
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Continuous integration is a practice where software developers integrate their code to a bigger codebase multiple times per day. Before the integration, the code is built and tested by e.g open source build tools such as Jenkins, and the information produced during this process is stored in a log file. READ MORE
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5. Automatic Anomaly Detection in Graphical User Interfaces Using Deep Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The automatic detection of code errors is a ubiquitous part of the quality assurance process performed during software development. However, graphical errors that may occur in user interfaces are often detected manually. READ MORE