{"title":"Test Design Methodology for Software Verification","authors":"Oleksii Lopuha, Svitlana Tsiutsiura, Oleksandr A. Poplavskyi, Oleksii Lysytsin, Olena Bondar, Pavlo Kruk","doi":"10.1109/SIST58284.2023.10223573","DOIUrl":null,"url":null,"abstract":"This paper provides outlines the main points covered in a paper that provides a brief summary of software testing research. While the information is concise and informative, there is certainly room for expansion and further elaboration on the topic. To begin with, software testing is a critical component of the software development process. It involves the evaluation of software to ensure that it meets specific requirements, functions correctly, and is free of defects. The role of testing is to identify potential issues or errors in the software before it is released to end-users. There are various methods and models used in engineering testing of data processing software. Each of these methods focuses on a specific aspect of the software and aims to identify potential issues at different stages of development. In addition to testing methods, it is essential to have a structured testing process in place. Moreover, it is necessary to evaluate the testing process to determine its effectiveness and identify areas that may need improvement. Overall, software testing is a complex process that requires careful planning, execution, and evaluation. It is essential to use appropriate testing methods and models to ensure that software meets its intended purpose and functions correctly. By implementing a structured testing process and evaluating its effectiveness, software development teams can improve the quality and reliability of their products, leading to greater user satisfaction and increased business success.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIST58284.2023.10223573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper provides outlines the main points covered in a paper that provides a brief summary of software testing research. While the information is concise and informative, there is certainly room for expansion and further elaboration on the topic. To begin with, software testing is a critical component of the software development process. It involves the evaluation of software to ensure that it meets specific requirements, functions correctly, and is free of defects. The role of testing is to identify potential issues or errors in the software before it is released to end-users. There are various methods and models used in engineering testing of data processing software. Each of these methods focuses on a specific aspect of the software and aims to identify potential issues at different stages of development. In addition to testing methods, it is essential to have a structured testing process in place. Moreover, it is necessary to evaluate the testing process to determine its effectiveness and identify areas that may need improvement. Overall, software testing is a complex process that requires careful planning, execution, and evaluation. It is essential to use appropriate testing methods and models to ensure that software meets its intended purpose and functions correctly. By implementing a structured testing process and evaluating its effectiveness, software development teams can improve the quality and reliability of their products, leading to greater user satisfaction and increased business success.