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The situation, task, action, result (STAR) format is a technique [1] used by interviewers to gather all the relevant information about a specific capability that the job requires. [ citation needed ] Situation : The interviewer wants you to present a recent challenging situation in which you found yourself.
Task: Explain your role in that situation. Action : Describe what actions or steps you took to tackle the situation. Result : End with the outcome of your actions and how you grew from the experience.
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The situational theory of problem solving attempts to explain why and how an individual communicates during a problematic situation. The situational theory of problem solving (STOPS) was proposed by Jeong-Nam Kim and James E. Grunig in 2011 though their article “problem solving and communicative action: A situational theory of problem solving.”
A changelog (also spelled change log) [1] is a log or record of all notable changes made to a project. [2] The project is often a website or software project, and the changelog usually includes records of changes such as bug fixes, new features, etc. Some open-source projects include a changelog as one of the top-level files in their distribution.
State–action–reward–state–action (SARSA) is an algorithm for learning a Markov decision process policy, used in the reinforcement learning area of machine learning. It was proposed by Rummery and Niranjan in a technical note [ 1 ] with the name "Modified Connectionist Q-Learning" (MCQ-L).
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LTS applies the tenets of reliability engineering to the software development process and software release life cycle.Long-term support extends the period of software maintenance; it also alters the type and frequency of software updates to reduce the risk, expense, and disruption of software deployment, while promoting the dependability of the software.