How to measure internal complexity?5 answersInternal complexity can be measured through non-linear mappings between input and output parameters, creating a space for curiosity and exploration in interactive sound design. In the context of medical patient complexity, new predictive models have been developed to quantify complexity using questionnaires and scores derived from factors like comorbidity, clinical stability, social frailty, cognitive dysfunction, and more. Additionally, in the realm of software design, internal attributes impacting external quality are measured using metrics validated through property-based and measurement theory-based approaches, focusing on concepts like polymorphism and complexity. These diverse fields showcase the importance of accurately measuring internal complexity to understand and enhance system performance.
How is complexity defined in the field of information systems management?5 answersComplexity in the field of information systems management is defined as an inherent attribute of any project that requires proper understanding and management. It is characterized by various factors such as structural characteristics, subjective observer-dependent characteristics, and increased uncertainty. Complexity can be classified into different types based on its attributes, including organizational complexity, technical complexity, and uncertainty. Organizational complexity involves managing project teams, stakeholders, and strategic drive, while technical complexity relates to project goals, requirements management, technology management, and norms and standards. Uncertainty in information systems projects exists in terms of skills management, the triple constraint, and activity management. Managing complexity in information systems projects is crucial for foreseeing challenges and taking timely steps to alleviate them.
How to measure knowledge acquisition?5 answersKnowledge acquisition can be measured through various methods. One approach is to use assessments that evaluate knowledge acquisition at different levels of training and practice. These assessments involve steps such as test development, item selection, test administration, scoring and analysis, standard setting, and reporting results. Two broad categories of items used in knowledge assessments are constructed-response items (e.g., short-answer items, essay questions) and selected-response items (e.g., true/false questions, multiple-choice questions). Another method is to use data-driven approaches to measure learning by mining user interaction data to identify regularities that could be indicators of learning. Additionally, a method for measuring information acquisition in humans involves scoring free-recall responses to sensory stimuli using a "wisdom of crowds" approach. In the context of virtual learning environments, knowledge acquisition can be evaluated by analyzing learner interactions within the environment.
How do we measure the organizational complexity of firm?5 answersMeasuring the organizational complexity of a firm is challenging due to its multifaceted nature. However, accounting disclosures are proposed as the best approach for consistently capturing a wide range of firm activities for a large cross-section of firms. Accounting is considered the "language of business," and most business activities are mandated to be disclosed through accounting. Accounting Reporting Complexity (ARC) is a measure that can be used to capture firm complexity based on accounting disclosures. ARC has advantages over other measures and has been used in studies to measure firm complexity. Another approach to measuring firm complexity is through modeling a business organization as a complex adaptive system, considering elements such as social networks, management strategies, and employee decision-making. These elements create intertwined feedback mechanisms that lead to unforeseen profitability outcomes. Overall, measuring organizational complexity requires considering various factors and approaches, including accounting disclosures and modeling a firm as a complex adaptive system.
How to measure instanyaneous complexity in time series?5 answersInstantaneous complexity in time series can be measured using various methods proposed in the literature. One approach is to use the reverse transition entropy (RTE) combined with refined composite multi-scale analysis and generalized fractional-order entropy. Another method is to apply detrended fluctuation analysis (DFA) to evaluate scaling indices of time series. The tangle measure, which quantifies how dissimilar a process is from simple periodic motion, can also be used to assess complexity in time series. Additionally, the horizontal visibility entropy (HVE) based on the topology structure of a horizontal visibility graph can be employed to characterize the complexity of non-stationary financial time series. Furthermore, the Lopez-Ruiz, Mancini, and Calbet (LMC) and Shiner, Davison, and Landsberg (SDL) complexity measures can be generalized to calculate instantaneous complexity in continuous temporal series.
How to measure the complexity of PostgreSQL query ?5 answersMeasuring the complexity of a PostgreSQL query can be done using various methodologies. One approach is to analyze the time and space requirements of the query using complexity theory. Another method is to evaluate the level of difficulty presented to the user by the query language, particularly in the case of relational database languages like PostgreSQL. Approximate complexity measures can be formulated and applied to experiments to measure user performance and compare different query languages. Additionally, query complexity lower bounds can be established using different query models such as deterministic decision trees, parity decision trees, bounded error randomized decision trees, and bounded error quantum query complexity. These methods provide insights into the inherent complexity of PostgreSQL queries and can help in optimizing query performance.