Diego R. Almeida, Patrícia D. L. Machado, Wilkerson L. Andrade
{"title":"Android上下文感知应用的测试工具:系统映射","authors":"Diego R. Almeida, Patrícia D. L. Machado, Wilkerson L. Andrade","doi":"10.1186/s13173-019-0093-7","DOIUrl":null,"url":null,"abstract":"ContextMobile devices, such as smartphones, have increased their capacity of information processing and sensors have been aggregated to their hardware. Such sensors allow capturing information from the environment in which they are introduced. As a result, mobile applications that use the environment and user information to provide services or perform context-based actions are increasingly common. This type of application is known as context-aware application. While software testing is an expensive activity in general, testing context-aware applications is an even more expensive and challenging activity. Thus, efforts are needed to automate testing for context-aware applications, particularly in the scope of Android, which is currently the most used operating system by smartphones.ObjectiveThis paper aims to identify and discuss the state-of-the-art tools that allow the automation of testing Android context-aware applications.MethodIn order to do so, we carried out a systematic mapping study (SMS) to find out the studies in the existing literature that describe or present Android testing tools. The discovered tools were then analyzed to identify their potential in testing Android context-aware applications.ResultA total of 68 works and 80 tools were obtained as a result of the SMS. From the identified tools, five are context-aware Android application testing tools, and five are general Android application testing tools, but support the test of the context-aware feature.ConclusionAlthough context-aware application testing tools do exist, they do not support automatic generation or execution of test cases focusing on high-level contexts. Moreover, they do not support asynchronous context variations.","PeriodicalId":39760,"journal":{"name":"Journal of the Brazilian Computer Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Testing tools for Android context-aware applications: a systematic mapping\",\"authors\":\"Diego R. Almeida, Patrícia D. L. Machado, Wilkerson L. Andrade\",\"doi\":\"10.1186/s13173-019-0093-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ContextMobile devices, such as smartphones, have increased their capacity of information processing and sensors have been aggregated to their hardware. Such sensors allow capturing information from the environment in which they are introduced. As a result, mobile applications that use the environment and user information to provide services or perform context-based actions are increasingly common. This type of application is known as context-aware application. While software testing is an expensive activity in general, testing context-aware applications is an even more expensive and challenging activity. Thus, efforts are needed to automate testing for context-aware applications, particularly in the scope of Android, which is currently the most used operating system by smartphones.ObjectiveThis paper aims to identify and discuss the state-of-the-art tools that allow the automation of testing Android context-aware applications.MethodIn order to do so, we carried out a systematic mapping study (SMS) to find out the studies in the existing literature that describe or present Android testing tools. The discovered tools were then analyzed to identify their potential in testing Android context-aware applications.ResultA total of 68 works and 80 tools were obtained as a result of the SMS. From the identified tools, five are context-aware Android application testing tools, and five are general Android application testing tools, but support the test of the context-aware feature.ConclusionAlthough context-aware application testing tools do exist, they do not support automatic generation or execution of test cases focusing on high-level contexts. Moreover, they do not support asynchronous context variations.\",\"PeriodicalId\":39760,\"journal\":{\"name\":\"Journal of the Brazilian Computer Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Brazilian Computer Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s13173-019-0093-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Brazilian Computer Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13173-019-0093-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Testing tools for Android context-aware applications: a systematic mapping
ContextMobile devices, such as smartphones, have increased their capacity of information processing and sensors have been aggregated to their hardware. Such sensors allow capturing information from the environment in which they are introduced. As a result, mobile applications that use the environment and user information to provide services or perform context-based actions are increasingly common. This type of application is known as context-aware application. While software testing is an expensive activity in general, testing context-aware applications is an even more expensive and challenging activity. Thus, efforts are needed to automate testing for context-aware applications, particularly in the scope of Android, which is currently the most used operating system by smartphones.ObjectiveThis paper aims to identify and discuss the state-of-the-art tools that allow the automation of testing Android context-aware applications.MethodIn order to do so, we carried out a systematic mapping study (SMS) to find out the studies in the existing literature that describe or present Android testing tools. The discovered tools were then analyzed to identify their potential in testing Android context-aware applications.ResultA total of 68 works and 80 tools were obtained as a result of the SMS. From the identified tools, five are context-aware Android application testing tools, and five are general Android application testing tools, but support the test of the context-aware feature.ConclusionAlthough context-aware application testing tools do exist, they do not support automatic generation or execution of test cases focusing on high-level contexts. Moreover, they do not support asynchronous context variations.
期刊介绍:
JBCS is a formal quarterly publication of the Brazilian Computer Society. It is a peer-reviewed international journal which aims to serve as a forum to disseminate innovative research in all fields of computer science and related subjects. Theoretical, practical and experimental papers reporting original research contributions are welcome, as well as high quality survey papers. The journal is open to contributions in all computer science topics, computer systems development or in formal and theoretical aspects of computing, as the list of topics below is not exhaustive. Contributions will be considered for publication in JBCS if they have not been published previously and are not under consideration for publication elsewhere.