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75 results for “software testing”
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Research ArticleOpen accessIn the keywordsA Petri Net Based Agent Behavioral TestingZina Houhamdi, Belkacem AthamenaIn Multi-Agent System (MAS), developers concentrate on creating design models and evolving them, from higher level models to lower level models, in several steps. Considerable part of MAS implementations is automatically produced from the design models. If a design model contains faults, they are passed to the generated implementations. Practical model validation techniques are required to discover and delete faults … …American Journal of Applied Sciences, Vol. 9, Issue 11 · 10 Sep 2012 · 6,682 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAlgorithms for the Detection of Defects in GUI ApplicationsB. Uma Maheswari, S. ValliProblem statement: Developing software using graphical interfaces has grown rapidly in recent years. Products developed by, using GUI have to be tested for the reliability and quality of the software. The objective of software testing is to reveal all the errors in the desired software with minimum cost. GUI application comprises of several controls for user interaction and each control … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,680 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStructured Integration Test Suite Generation Process for Multi-Agent SystemZina Houhamdi, Belkacem AthamenaProblem statement: In recent years, Agent-Oriented Software Engineering (AOSE) methodologies are proposed to develop complex distributed systems based upon the agent paradigm. The implementation for such systems has usually the form of Multi-Agent Systems (MAS). Testing of MAS is a challenging task because these systems are often programmed to be autonomous and deliberative and they operate in an open world, … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,451 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTree Based Test Case Generation and Cost Calculation Strategy for Uniform Parametric Pairwise TestingMohammad F.J. Klaib, Sangeetha Muthuraman, Noraziah Ahmad, Roslina SidekProblem statement: Although it is very important to test any system extensively it is usually too expensive to do so owing to the cost and the resources that are involved in it. Software testing is a very important phase of software development to ensure that the developed system is reliable. Some systematic approach for testing is essential to test any … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,342 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Complete Automation of Unit Testing for JavaScript ProgramsM. AlshraidehProblem statement: Program testing is expensive and labor intensive, often consuming more than half of the total development costs, and yet it is frequently not done well and the results are not always satisfactory. The objective of this paper is to present an automatic test data generation tool that aims to completely automate unit testing of JavaScript functions. The methodology: … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,289 accessesView PDFCite
Research ArticleOpen accessIn the keywordsJTst- An Automated Unit Testing Tool for Java ProgramKamal Zuhairi Zamli, Nor Ashidi Mat IsaSoftware testing is an integral part of software development lifecycle. Lack of testing can often lead to disastrous consequences including lost of data, fortunes, and even lives. Despite its importance, current software testing practice lacks automation, and is still primarily based on highly manual processes from the generation of test cases up to the actual execution of the test. Although … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,366 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMeasuring Test Data Uniformity in Acceptance Tests for the FitNesse and Gherkin NotationsDouglas Hiura Longo, Patrícia Vilain, Lucas Pereira da SilvaThis paper presents two metrics designed to measure the data uniformity of acceptance tests in FitNesse and Gherkin notations. The objective is to measure the data uniformity of acceptance tests in order to identify projects with lots of random and meaningless data. Random data in acceptance tests hinder communication between stakeholders and increase the volume of glue code. The main … …Journal of Computer Science, Vol. 17, Issue 2 · 25 Feb 2021 · 7,572 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEstόria: A Framework for Code and Execution Reuse between Test ClassesLucas Pereira da Silva, Patrícia VilainManual implementation of test code can lead to maintainability problems such as test code duplication. Strategies to avoid test code duplication and to promote test code reuse exist in the literature. However, it becomes increasingly difficult to apply these strategies as the system evolves and the number of test increases. In this study, we present a novel strategy to reuse … …Journal of Computer Science, Vol. 17, Issue 2 · 11 Feb 2021 · 7,019 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEmpirical Studies on Applications of Neural Networks as Approximation OracleK. K. Aggarwal, Yogesh Singh, Arvinder KaurExpected results are essential to any test design. In testing, an Oracle is a trusted source of expected results. This research examines the performance of Artificial Neural Network (ANN) as Approximation Oracle. The supervised learning paradigm has been used and found to be suitable for the purpose with the help of case studies. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 869 accessesView PDFCite