Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software

Abstract

Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO metrics are identified using feature selection techniques for generating test cases to cover fault proneness classes. In this methodology, only effective metrics are considered for assigning weights to test paths. The results indicate that the proposed methodology is effective and efficient as the average fault exposition potential of generated test cases is 90.16% and test cases execution time saving is 45.11%.

Design and implementation of a novel open-source web-GIS application for a harmonized EPC documentation across Europe

“…Additionally, towards optimizing the dissemination and map creation for the data contained in PostgreSQL we explored the usage of the Geoserver web server. Geoserver is a Javabased server that allows users to view and edit geospatial data using open standards set forth by the Open Geospatial Consortium (OGC), and it has been widely used and tested in various other webGIS applications 20,21 . Here, we apply Geoserver as a middleware application by connecting the WebGIS back and front end with the geospatial database in order to generate OGC services namely WFS, WMS and WMTS for displaying data coming from the PostGIS.…”