Time Predictions: Understanding and Avoiding Unrealism in Project Planning and Everyday Life
Rreth këtij libri elektronik
Predicting the time needed to complete a project, task or daily activity can be difficult and people frequently underestimate how long an activity will take. This book sheds light on why and when this happens, what we should do to avoid it and how to give more realistic time predictions. It describes methods for predicting time usage in situations with high uncertainty, explains why two plus two is usually more than four in time prediction contexts, reports on research on time prediction biases, and summarizes the evidence in support of different time prediction methods and principles. Based on a comprehensive review of the research, it is the first book summarizing what we know about judgment-based time predictions.
Vlerësime dhe komente
Rreth autorit
Torleif Halkjelsvik: Torleif Halkjelsvik works as a research professor (seniorforsker) at the Norwegian Institute of Public Health in Oslo. His research is in the areas of judgment and decision-making, attitudes and attitude change, motivation and emotion, and addictions.
Torleif Halkjelsvik has a background in social psychology and judgment and decision-making. He is interested in the determinants of people's behaviors and decisions in contexts ranging from project management to addictive behaviors.
Magne Jørgensen: Magne Jørgensen is a chief research scientist at Simula Research Laboratory and a professor of informatics at University of Oslo. His areas of specialization are project management, time and cost predictions, and processes for judgment and decision-making under uncertainty. He received in 2014 the ACM Sigsoft award for most influential paper last ten years for the initial paper on evidence-based software engineering.
Magne Jørgensen has worked with time predictions as a practitioner (project manager and effort estimation support) in industrial software development projects, as a researcher over more than fifteen years and as an advisor for software companies.
