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Test Case Generation from UML-Diagrams Using Genetic Algorithm

Computers, Materials & Continua 2021年第5期67卷 2321-2336页

作者： Rajesh Kumar Sahoo Morched Derbali Houssem Jerbi Doan Van Thang P.Pavan Kumar Sipra Sahoo Department of Computer Science&Engineering Ajay Binay Institute of TechnologyCuttack753014India Department of Information Technology Faculty of Computing and ITKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Industrial Engineering University of Ha’ilCollege of EngineeringHail2440Saudi Arabia Faculty of Information Technology Industrial University of Ho chi Minh City700000Vietnam Department of Computer Science and Engineering FSTIFHEHyderabad501203India Department of Computer Science and Engineering ITERSOA Deemed to be UniversityBhubaneswar751030India

Software testing has been attracting a lot of attention for effective software *** model driven approach,Unified modelling Language(UML)is a conceptual modelling approach for obligations and other features of the system in a model-driven *** tools interpret these models into other software artifacts such as code,test data and *** generation of test cases permits the appropriate test data to be determined that have the aptitude to ascertain the *** paper focuses on optimizing the test data obtained from UML activity and state chart diagrams by using Basic Genetic Algorithm(BGA).For generating the test cases,both diagrams were converted into their corresponding intermediate graphical forms namely,Activity Diagram Graph(ADG)and State Chart Diagram Graph(SCDG).Then both graphs will be combined to form a single graph called,Activity State Chart Diagram Graph(ASCDG).Both graphs were then joined to create a single graph known as the Activity State Chart Diagram Graph(ASCDG).Next,the ASCDG will be optimized using BGA to generate the test data.A case study involving a withdrawal from the automated teller machine(ATM)of a bank was employed to demonstrate the *** approach successfully identified defects in various ATM functions such as messaging and operation.

关键词： Genetic algorithm generation of test data and optimization state-chart diagram activity diagram model-driven approach

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A survey of model-driven techniques and tools for cyber-physical systems

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Frontiers of Information Technology & Electronic Engineering 2020年第11期21卷 1567-1590页

作者： Bo LIU Yuan-rui ZHANG Xue-lian CAO Yu LIU Bin GU Tie-xin WANG RISE School of Computer and Information ScienceSouthwest UniversityChongqing 400715China Beijing Institute of Control Engineering Beijing 100190China School of Computer Science Northwestern Polytechnical UniversityXVan 710029China College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 211106China

Cyber-physical systems(CPSs)have emerged as a potential enabling technology to handle the challenges in social and economic sustainable *** it was proposed in 2006,intensive research has been conducted,showing that the construction of a CPS is a hard and complex engineering process due to the nature of integrating a large number of heterogeneous *** other approaches to dealing with the complex design issues,model-driven design of CPSs has shown its *** this review paper,we present a survey of research on model-driven development of *** are concerned mainly with the widely used methods,techniques,and tools,and discuss how these are applied to *** also present comparative analyses on the surveyed techniques and tools from various perspectives,including their modeling languages,functionalities,and the challenges which they address in CPS *** our understanding of the surveyed methods,we believe that model-driven approaches are an inevitable choice in building CPSs and further research effort is needed in the development of model-driven theories,techniques,and *** also argue that a unified modeling platform is *** a platform would benefit research in the academic community and practical development in industry,and improve the collaboration between these two communities.

关键词： Cyber-physical systems model-driven approach System modeling Software engineering

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