Automated Mobile Testing as a Service (AM-TaaS)

Villanes, Isabel K.; Costa, Erick Alexandre Bezerra; Dias-Neto, Arilo Cláudio

doi:10.1109/services.2015.20

Cited by 14 publications

(14 citation statements)

References 20 publications

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“…Thus, some tools test Android applications not looking at the components of the interface, but rather through events generated for the application simulating the user touching the screen, events from the system, and also through data from the sensors of the device. For these tools, we [90], CrashScope [18,52], DroidBot [19], M[agi]C [58], ACTEve [47], PATS [77], BBOXTESTER [92], AppDoctor [63], ORBIT [39], Fest [45], Easy-Mock [45], Hamcrest [45], JUnit [45], Robolectric [45], Robotium [45] [79], Android.Test [45], DroidCrawler [54], Custom-built version of the calabashandroid [44], CATE [57], MobiGUITAR [105], [41], Context Simulator [37], ADAutomation [38], MAT [46], AM-TaaS [49], VTE [55], [59], ACRT [56], EHB-Droid [64], ATG [73], SPAG-C [76], Appetizer [79], Bot-bot [79], Culebra [79], monkeyrunner [79], Mosaic [79], Ranorex [79], HiroMacro [79], Repeti-Touch [79], MAFT [82], MBTS4MA [83], SIG-Droid …”

Section: Rq 11: What Technique Do They Implement?mentioning

confidence: 99%

Testing tools for Android context-aware applications: a systematic mapping

2019

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Context: Mobile 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. Objective: This paper aims to identify and discuss the state-of-the-art tools that allow the automation of testing Android context-aware applications. Method: In 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. Result: A 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. Conclusion: Although 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.

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Section: Rq 11: What Technique Do They Implement?mentioning

confidence: 99%

Testing tools for Android context-aware applications: a systematic mapping

2019

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“…A prototype mobile TaaS framework [31] is tested using a functional approach, comparing the result with two other test script generations. An automated TaaS is presented in [32], with a feasibility case study to evaluate it using private cloud services, with 9 mobile devices, 5 mobile applications and 84% test case coverage. The study [33] uses a prototype framework for load balancing implemented with OpenStack with 63 hosts and 400 requests, comparing the proposed method with other algorithms.…”

Section: ) Mobile Testingmentioning

confidence: 99%

A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods

Ahmad

Brereton

András

2017

2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)

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Abstract-Context: Software has become more complicated, dynamic, and asynchronous than ever, making testing more challenging. With the increasing interest in the development of cloud computing, and increasing demand for cloud-based services, it has become essential to systematically review the research in the area of software testing in the context of cloud environments. Objective: The purpose of this systematic mapping study is to provide an overview of the empirical research in the area of software cloud-based testing, in order to build a classification scheme. We investigate functional and non-functional testing methods, the application of these methods, and the purpose of testing using these methods. Method: We searched for electronically available papers in order to find relevant literature and to extract and analyze data about the methods used. Result: We identified 69 primary studies reported in 75 research papers published in academic journals, conferences, and edited books. Conclusion: We found that only a minority of the studies combine rigorous statistical analysis with quantitative results. The majority of the considered studies present early results, using a single experiment to evaluate their proposed solution.

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“…The rapid proliferation of smartphones and the fast growth of the internet make it easy for "apps" (applications for mobile devices) to be accessed and downloaded from all over the world. According to the latest preliminary results from International Data Corporation (IDC), in the fourth quarter of 2015, smartphones sales topped in the worldwide with 399.5 million units and at the same time Android was the most popular operating system with market share reach of 82.8% [1,2]. The greatest challenge is not only to develop apps but also to test them to guarantee their usability and robustness.…”

Section: Introductionmentioning

confidence: 99%

“…The greatest challenge is not only to develop apps but also to test them to guarantee their usability and robustness. Usually apps are distributed to many countries and language regions [1,3]. Many apps on Google Play are available in more than 30 and up to 50 different languages from all over the world, including languages with exotic fonts such as for traditional and modern Chinese, Greek, Thai [4].…”

Section: Introductionmentioning

confidence: 99%

Automated Bidirectional Languages Localization Testing for Android Apps with Rich GUI

Awwad

Slany

2016

Mobile Information Systems

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Mobile apps are everywhere. The release of apps on a worldwide scale requires them to be made available in many languages, including bidirectional languages. Developers and translators are usually different persons. While automatic testing by itself is important in general in order to be able to develop high quality software, such automatic tests become absolutely essential when developers that do not possess enough knowledge about right-to-left languages need to maintain code that is written for bidirectional languages. A few bidirectional localization tests of mobile applications exist. However, their functionality is limited since they only cover translations and adoption of locales. In this paper we present our approach for automating the bidirectional localization testing for Android applications with a complete consideration for BiDi-languages issues. The objective is to check for any localization defects in the product. The proposed methods are used to test issues of bidirectional apps in general and specifically for the Arabic language. The results show that the methods are able to effectively reveal deficiencies in the app’s design, ensure that the localized app matches all expectations of local users, and guarantee that the product is culturally congruent to local conventions.

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Automated Mobile Testing as a Service (AM-TaaS)

Cited by 14 publications

References 20 publications

Testing tools for Android context-aware applications: a systematic mapping

Testing tools for Android context-aware applications: a systematic mapping

A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods

Automated Bidirectional Languages Localization Testing for Android Apps with Rich GUI

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