Sara Kerraoui, Y. Kissoum, M. Redjimi, Moussa Saker
{"title":"MATT: Multi Agents Testing Tool Based Nets within Nets","authors":"Sara Kerraoui, Y. Kissoum, M. Redjimi, Moussa Saker","doi":"10.31341/JIOS.40.2.1","DOIUrl":null,"url":null,"abstract":"Testing is a software development activity, devoted to evaluating product quality and improving it by identifying defects and problems. Concerning multi agent systems, testing is a challenging task, which asks for new testing techniques dealing with their specific nature. The techniques need to be effective and adequate to evaluate agent’s autonomous behaviors and build confidence in them.The \"Model Based Testing\" (MBT) is a technique particularly interested among all existing solutions of tests. This latter is based on a system model, which produces abstract test cases. To run these last ones against systems under test,the abstract test cases have to be transformed to concrete ones. As part of this effort, we propose a model based testing approach for multi agent systems based on such a model called Reference net, where a tool, which aims to providing a uniform and automated approach is developed. The feasibility and the advantage of the proposed approach are shown through a short case study.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"40 1","pages":"165-184"},"PeriodicalIF":0.3000,"publicationDate":"2016-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/JIOS.40.2.1","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information and Organizational Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31341/JIOS.40.2.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 5
Abstract
Testing is a software development activity, devoted to evaluating product quality and improving it by identifying defects and problems. Concerning multi agent systems, testing is a challenging task, which asks for new testing techniques dealing with their specific nature. The techniques need to be effective and adequate to evaluate agent’s autonomous behaviors and build confidence in them.The "Model Based Testing" (MBT) is a technique particularly interested among all existing solutions of tests. This latter is based on a system model, which produces abstract test cases. To run these last ones against systems under test,the abstract test cases have to be transformed to concrete ones. As part of this effort, we propose a model based testing approach for multi agent systems based on such a model called Reference net, where a tool, which aims to providing a uniform and automated approach is developed. The feasibility and the advantage of the proposed approach are shown through a short case study.