A comparision of object oriented size evaluation techniques

Sırakaya, Hatice Sinem
Popular Object Oriented size metrics and estimation methods are examined. A case study is conducted. Five of the methods (أLOCؤ, أOOPSؤ, أUse Case Points Methodؤ, أJ.Kammelar̕s Sizing Approachؤ and أMark II FPؤ) are applied to a project whose requirements are defined by means of use cases. Size and effort estimations are made and compared with the actual results of the project.


A reformulation of the ant colony optimization algorithm for large scale structural optimization
Hasançebi, Oğuzhan; Saka, M.p. (2011-01-01)
This study intends to improve performance of ant colony optimization (ACO) method for structural optimization problems particularly with many design variables or when design variables are chosen from large discrete sets. The algorithm developed with ACO method employs the so-called pheromone scaling approach to overcome entrapment of the search in a poor local optimum and thus to recover efficiency of the method for large-scale optimization problems. Besides, a new formulation is proposed for the local upda...
A clustering method for web data with multi-type interrelated components
Bolelli, Levent; Ertekin Bolelli, Şeyda; Zhou, Ding; Giles, C Lee (2007-05-08)
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features. Many real world data, however, is heterogeneous in nature, comprising of multiple types of interrelated components. We present a clustering algorithm, K-SVMeans, that integrates the well known K-Means clustering with the highly popular Support Vector Machines(SVM) in order to utilize the richness of data. Our experimental results on author...
A Theoretical Analysis of Feature Fusion in Stacked Generalization
Ozay, Mete; Yarman Vural, Fatoş Tunay (2009-04-11)
In the present work, a theoretical framework in order to define the general performance of stacked generalization learning algorithm is developed. Analytical relationships between the performance of the Stacked Generalization classifier relative to the individual classifiers are constructed by the proposed theorems and the practical techniques are developed in order to optimize the performance of stacked generalization algorithm based on these relationships.
A fuzzy deductive object-oriented database model
Bostan, B; Yazıcı, Adnan (1998-05-09)
Object-oriented and deductive database models are two different paradigms in database modeling. As has been pointed out by many researchers, [1], [6], [14], each of these data models has its shortcomings when dealing with database/knowledge-base applications. Therefore, it is believed that combining object-oriented concepts with those of deductive database modeling results in a powerful data model especially for knowledge-intensive applications. In these applications, it is important to model and manipulate...
An access structure for similarity-based fuzzy databases
Yazıcı, Adnan (Elsevier BV, 1999-04-01)
A significant effort has been made in representing imprecise information in database models by using fuzzy set theory. However, the research directed toward access structures to handle fuzzy querying effectively is still at an immature stage. Fuzzy querying involves more complex processing than the ordinary querying does. Additionally, a larger number of tuples are possibly selected by fuzzy conditions in comparison to the crisp ones. It is obvious that the need for fast response time becomes very important...
Citation Formats
H. S. Sırakaya, “A comparision of object oriented size evaluation techniques,” M.S. - Master of Science, Middle East Technical University, 2003.