Abstract-In the arena of software, data mining technology has been considered as useful means for identifying patterns and trends of large volume of data. This approach is basically used to extract the unknown pattern from the large set of data for business as well as real time applications. It is a computational intelligence discipline which has emerged as a valuable tool for data analysis, new knowledge discovery and autonomous decision making. The raw, unlabeled data from the large volume of dataset can be classified initially in an unsupervised fashion by using cluster analysis i.e. clustering the assignment of a set of observations into clusters so that observations in the same cluster may be in some sense be treated as similar. The outcome of the clustering process and efficiency of its domain application are generally determined through algorithms. There are various algorithms which are used to solve this problem. In this research work two important clustering algorithms namely centroid based K-Means and representative object based FCM (Fuzzy C-Means) clustering algorithms are compared. These algorithms are applied and performance is evaluated on the basis of the efficiency of clustering output. The numbers of data points as well as the number of clusters are the factors upon which the behaviour patterns of both the algorithms are analyzed. FCM produces close results to K-Means clustering but it still requires more computation time than K-Means clustering.
Many organizations assess the maintainability of software systems before they are deployed. Object-oriented design has been shown to be a useful technique to develop and deliver quality software. Objectoriented metrics can be used to assess the maintainability of a software system. Various software metrics and models have been developed and described. This paper provides a review of this literature and the related state-of-the-art. It also proposes a maintainability model that is based on the analysis of the relationship between object-oriented metrics and maintainability.
The demand for efficient software is increasing day by day. For this reason software developers need appropriate metrics for the development of software applications. Usability is one of the most important fields in software engineering and a highly focused quality factor. It is a key factor in the development of successful software applications. Object-oriented design techniques have become one of the most powerful mechanisms to develop efficient software system. Object-oriented software can play important role in usability for software applications. It can not only help in reducing the cost but also in developing highly usable software systems. This paper focuses some important issues and analyzes the relationship between usability and object-oriented metrics.
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