Software project economics: A roadmap

The objective of this paper is to consider research progress in the field of software project economics with a view to identifying important challenges and promising research directions. I argue that this is an important sub-discipline since this will underpin any cost-benefit analysis used to justify the resourcing, or otherwise, of a software project. To accomplish this I conducted a bibliometric analysis of peer reviewed research articles to identify major areas of activity. My results indicate that the primary goal of more accurate cost prediction systems remains largely unachieved. However, there are a number of new and promising avenues of research including: how we can combine results from primary studies, integration of multiple predictions and applying greater emphasis upon the human aspects of prediction tasks. I conclude that the field is likely to remain very challenging due to the people-centric nature of software engineering, since it is in essence a design task. Nevertheless the need for good economic models will grow rather than diminish as software becomes increasingly ubiquitous

Thearetical aspects of prediction powerless labor

The report summarizes and analyzes the data available in the modern literature about known methods ot prediction powerless labor.В обзоре обобщены и проанализированы данные современной литературы о способах прогнозирования слабости родовой деятельности в сроке доношенной беременности

Prediction theory for stationary functional time series

We survey aspects of prediction theory in infinitely many dimensions, with a view to the theory and applications of functional time series

Keterampilan Metakognisi Siswa dalam Menyelesaikan Masalah Aritmetika Sosial Berbasis HOTS

This study aimed to analyze students' metacognitive skills in solving HOTS-based problems in social arithmetic material. This type of research was descriptive qualitative research. The subjects of this study were six grade VII students of SMP Negeri 1 Colomadu with different categories of metacognition skills, namely high, medium, and low metacognition skill. The data collection techniques were written tests and task-based interviews. The data analysis techniques consisted of data reduction, data presentation, and conclusion drawing. The validity of the data used triangulation techniques to check test result data with task-based interview data. There were four aspects in metacognition skills, namely the predictive aspect, the planning aspect, the monitoring aspect, and the evaluation aspect. The results of the study concluded that: (1) Students with high metacognition skills were able to fulfill the aspects of prediction, planning, monitoring, and evaluation well, (2) Students with moderate metacognition skills were able to fulfill the aspects of prediction, planning, monitoring, and evaluation but they were not optimal on their skills, and (3) Students with low metacognition skills have not been able to meet the aspects of prediction, planning, monitoring, and evaluation well

The Promise of Prediction Markets

Prediction markets are markets for contracts that yield payments based on the outcome of an uncertain future event, such as a presidential election. Using these markets as forecasting tools could substantially improve decision making in the private and public sectors. We argue that U.S. regulators should lower barriers to the creation and design of prediction markets by creating a safe harbor for certain types of small stakes markets. We believe our proposed change has the potential to stimulate innovation in the design and use of prediction markets throughout the economy, and in the process to provide information that will benefit the private sector and government alike.Technology and Industry