Software size prediction is a first step to compute information for software project development such as: cost, effort, schedules, duration and so on. This paper presents the methods efforts of researchers in this era. Methods as Source line Code, Model based estimation, function point estimation from UML diagrams. For every method, strength weakness presented. Also, it evaluation criteria that...

We consider the problem of efficiently estimating size join a collection preprocessed relational tables from perspective instance optimality analysis. The running time optimal algorithms is comparable to minimum needed verify correctness solution. Previously, were only known when was small (as one component their linear in size). give an algorithm for all instances, including large, by removing...

Many online networks are not fully known and are often studied via sampling. Random Walk (RW) based techniques are the current state-of-the-art for estimating nodal attributes and local graph properties, but estimating global properties remains a challenge. In this paper, we are interested in a fundamental property of this type — the graph size N , i.e., the number of its nodes. Existing method...

Background: Estimation of the size of hidden and hard-to-reach sub-populations, such as drug-abusers, is a very important but difficult task. Network scale up (NSU) is one of the indirect size estimation techniques, which relies on the frequency of people belonging to a sub-population of interest among the social network of a random sample of the general population. In this study, we estimated ...

For statistical estimation problems, it is typical and even desirable that more than one reasonable estimator can arise for consideration. One natural and time-honored approach for choosing an estimator is simply to compare the sample sizes at which the competing estimators meet a given standard of performance. This depends upon the chosen measure of performance and upon the particular populati...

Today, great observatories around the world, devote a substantial amount of observing time to sky surveys. The resulted images are inputs of source finder modules. These modules search for the target objects and provide us with source catalogues. We sought to quantify the ability of detection tools in recovering faint galaxies regularly encountered in deep surveys. Our approach was based on com...