Relevant bibliographies by topics / Android Testing Frameworks

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Android Testing Frameworks'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Android Testing Frameworks"

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Soujanya, Reddy Annapareddy. "Optimizing Android Device Testing with Automation Frameworks." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 4 (2024): 1–7. https://doi.org/10.5281/zenodo.14540907.

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The exponential growth of mobile applications has introduced new challenges in ensuring quality across the diverse ecosystem of Android devices. The fragmentation of hardware and software configurations demands robust and efficient testing methodologies. This paper investigates the optimization of Android device testing through the use of an advanced automation framework called Appium. By leveraging these frameworks, testing processes can achieve enhanced efficiency, scalability, and reliability. A case study is presented to illustrate the practical application of automation in testing an e-co
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Hemanth Aditya. "Building scalable android testing frameworks: Lessons from google chat UI refresh." International Journal of Science and Research Archive 14, no. 1 (2025): 712–19. https://doi.org/10.30574/ijsra.2025.14.1.0058.

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This article uses the successful implementation of the Google Chat UI Refresh project to provide thorough insights into creating scalable testing frameworks for Android applications. It examines several contemporary Android testing topics, such as multi-layered testing methodologies, optimal test architecture methods, and particular concerns for Jetpack Compose. The article illustrates how appropriate testing frameworks can greatly increase development efficiency, lower errors, and improve overall application quality by analyzing real-world implementation tactics. Considerations for continuous
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Purushottam, Raj, Sethi Bhavdeep, and Shah Rutvij. "Open-Source Innovation: How Diverse Coding Techniques Drive Mobile Engineering Excellence in Android?" Sarcouncil Journal of Engineering and Computer Sciences 4, no. 1 (2025): 17–25. https://doi.org/10.5281/zenodo.15047631.

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Open-source innovation has revolutionized Android mobile engineering by fostering diverse coding techniques that enhance application performance, efficiency, and reliability. This study examines the impact of programming languages, UI frameworks, code complexity, and open-source collaboration on mobile engineering excellence. A dataset of 500 open-source Android projects was analyzed using descriptive statistics, regression models, Principal Component Analysis (PCA), and hypothesis testing. The findings indicate that Kotlin (35%) is emerging as the preferred programming language over Java (40%
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Jamilah, Jamilah, and Arif Ali Ibrahim. "RANCANG BANGUN APLIKASI E-COMMERCE FURNITUR BERBASIS ANDROID." Jurnal Ilmiah Teknik 2, no. 2 (2023): 62–72. http://dx.doi.org/10.56127/juit.v2i2.771.

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Furniture sales has become one of the good business opportunities, but the challenges facing manufacturers today are the growing number of competitors and the scope of marketing and sales as well as the place to interact between the seller and the buyer is limited. The research aims to create an e-commerce furniture application that can be used as a means of selling furniture online using the Internet network and Android-based application platforms. The application is based on the waterfall method. The application is built with the Flutter and Dart frameworks, while the admin backend uses the
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Meiliana, Irwandhi Septian, Ricky Setiawan Alianto, and Daniel. "Comparison Analysis of Android GUI Testing Frameworks by Using an Experimental Study." Procedia Computer Science 135 (2018): 736–48. http://dx.doi.org/10.1016/j.procs.2018.08.211.

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Fedynyshyn, T. O., and O. O. Partyka. "ANALYSIS OF SECURITY RISKS IN MOBILE APPLICATIONS DEVELOPED WITH CROSS-PLATFORM FRAMEWORKS." Computer systems and network 7, no. 1 (2025): 284–94. https://doi.org/10.23939/csn2025.01.284.

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The article focuses on the investigation of security risks in mobile applications developed using various frameworks, including Xamarin, Cordova, React Native, Flutter, and Android Native. The purpose of the study is to identify key vulnerabilities in the code, configurations, and permissions of mobile applications and to assess their criticality depending on the chosen development technology. As part of the research, static analysis of 6,165 mobile applications was conducted using the MobSF tool, covering aspects such as binary analysis, certificates, network security, Firebase configuration,
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Amit, Gupta. "Unveiling the Performance Divide: Appium's Slower Performance Compared to Native Frameworks." European Journal of Advances in Engineering and Technology 5, no. 12 (2018): 1077–81. https://doi.org/10.5281/zenodo.13235624.

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Mobile application testing plays a crucial role in the field of contemporary software development in guaranteeing user satisfaction and product quality. Since smartphones and tablets are part of daily life activities, mobile applications are essential tools for business, work, communication, and leisures. Therefore, the importance of performance in mobile application testing because customers demand faultless experiences that are characterized by effectiveness, dependability, and responsiveness. This research examines the differences between native testing frameworks like XCUITests for iOS and
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Researcher. "ACCELERATING UI LOADING WITH JETPACK COMPOSE: A PERFORMANCE IMPROVEMENT GUIDE." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 2171–82. https://doi.org/10.5281/zenodo.14358150.

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This article provides a practical guide to improving performance in Android applications using Jetpack Compose. It addresses key challenges developers face when building smooth, responsive user interfaces across various device categories. The article explores essential optimization strategies including efficient list rendering through lazy layouts, animation performance tuning, state management techniques, and comprehensive testing approaches. Drawing from real-world implementations and research findings, the article presents proven methods for reducing memory usage, improving frame rates
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Mrs. Jayalakshmi, Dr.R. G Suresh Kumar, A Divya Priya, A Dheepika, and D Jenifer. "A Survey on Energy Leak Detection in Android Applications: Approaches and Challenges." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 04 (2025): 1625–33. https://doi.org/10.47392/irjaeh.2025.0231.

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With the rapid growth in mobile application usage, energy efficiency in Android applications has become a critical research focus. Excessive battery consumption, often due to energy leaks such as mismanaged wake-locks and other resource inefficiencies, degrades user experience and device longevity. This survey reviews current methodologies for detecting energy leaks in Android applications, including static analysis, dynamic analysis, hybrid analysis, machine learning approaches, and testing frameworks for identifying energy-related code smells. Static analysis examines code without execution
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Syaputra Pulungan, Mhd Alwi, and Shinta Esabella. "Pengembangan Aplikasi Pengolahan Data Sampah Kabupaten Sumbawa Berbasis Android." Jurnal Gemilang Informatika (GIT) 2, no. 2 (2024): 40–47. http://dx.doi.org/10.58369/git.v2i2.190.

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The rapid development of information technology has become an important part of everyday life and the public sector. The Environmental Service of Sumbawa City, NTB, faces challenges in processing waste data, requiring report printing features and hosting. This research aims to develop an Android-based Waste Data Processing Application. Development begins with improving the Back End of the previous Web Application, followed by the construction of an Android-based Front End, and integration using the Application Programming Interface (API). In this study using Qualitative methods and software de
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Dissertations / Theses on the topic "Android Testing Frameworks"

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Esbjörnsson, Linus. "Android GUI Testing : A comparative study of open source Android GUI testing frameworks." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11107.

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Android is one of the most popular mobile operating systems on the market today with a vast majority of the market share when it comes to mobile devices. Graphical user interfaces (GUI) are often seen on the applications on these devices. Testing of these GUIs is important since they often make up for half of the source code of the application, and they are used to interact with the application. Automating these tests is very useful since it saves a lot of time, but can be difficult. The tools that are available for automating the tests are often not suitable for the developers’ needs, because
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Baktha, Kishore. "Evaluating the Performance and Capabilities of Popular Android Mobile Application Testing Automation Frameworks in Agile/ DevOps Environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281984.

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The number of mobile applications has increased tremendously over the last decade, thereby also having increased the importance of mobile application testing. Testing is a very crucial process in the development of a mobile application to ensure reliability and proper functionality. In an Agile/DevOps environment, test automation is an integral part in order to support the continuous integration and continuous delivery/deployment principle. There is a plethora of mobile application testing automation frameworks available in the market today. Android testing frameworks were chosen for this stud
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Čtvrtníček, Dušan. "Serverový framework pro hromadné testování Android aplikací." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-264966.

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This master's thesis is dedicated to the remote control of Android devices using the Android Debug bridge tool. Another essential part of the work is automated batch testing of Android applications. It focuses on individual tools (Android Debug Bridge, MonkeyRunner, logcat, Appium) needed to resolve this issue. It also describes a web framework Nette and other technologies that were used for the final design and implementation of information system.
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Shrivatri, Ankit. "Selection and implementation of test framework for automated system test of mobile application." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-202553.

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Software Quality is a key concern for any companies working with software development. This is true due to the fact that the success of any software directly depends on Quality of software. It is expected that the software is of best quality for a long duration of time. With the introduction of Mobile applications the task of maintaining the quality of an application has been difficult and have faced many challenges. Many companies working with mobile application have reformed their process in order to maintain the quality of their application. The introduction of Automation testing in the te
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Chen, You-Syuan, and 陳佑宣. "Automatic Testing of Android Apps Using JUnit Framework." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/77277880696331330896.

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碩士<br>開南大學<br>資訊管理學系<br>103<br>App development for smart phones and tablets is one of the hottest technologies in recent years. As the app can be downloaded and updated via the Internet, the revision of the software is much faster than the traditional PC software. How to use tools to improve development efficiency and program quality becomes more and more important. Testing is a necessary phase in software development. This paper discusses how to use JUnit Framework to test Android apps automatically, including the creation of testing classes and test cases. We use three different types of App
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Fong, Mao-Jhe, and 馮懋哲. "An Integrated Framework for Testing Memory and Power Performance of Android Apps." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/76931321937279389562.

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碩士<br>國立臺灣大學<br>電子工程學研究所<br>105<br>When it comes to software testing in the industry, memory leak bugs of mobile applications (apps) are notorious to detect. Existing techniques usually rely on the availability of source code and instrumentation techniques to generate test cases. We have developed a framework to automate the black-box testing of app memory leaks. Our testing procedure first builds a finite-state model from the execution traces of the app under test (AUT). Specifically, we label each state in the model with memory usages and then extend Karp’s min-cycle algorithm to a k-max cyc
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Lin, You-Ming, and 林佑明. "A Robot Framework uiautomator Test Library for Integration Testing on Android Devices." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/8nnh33.

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碩士<br>國立臺北科技大學<br>資訊工程系研究所<br>102<br>The Android market grew rapidly in recent years. Many companies devoted to developing Android devices and applications. In order to make quality products and lower the cost of developing, testing the products automatically has become a trend in software development process. Many service providers also launch their applications on Android. Often, such applications are offered and simultaneously used on other platforms. As a result, test automation is difficult on these cross platform applications due to difficulty in integrating different testing tools on ea
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Book chapters on the topic "Android Testing Frameworks"

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Mawlood-Yunis, Abdul-Rahman. "Debugging and Testing Using Junit, Espresso, and Mockito Frameworks." In Android for Java Programmers. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87459-9_4.

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Coppola, Riccardo, Luca Ardito, and Marco Torchiano. "Multi-device, Robust, and Integrated Android GUI Testing: A Conceptual Framework." In Testing Software and Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43240-8_8.

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Li, Aiguo, and Chen Li. "Research on the Automated Testing Framework for Android Applications." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6901-0_109.

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Du, Mengjun, Peiyang Li, Lian Song, W. K. Chan, and Bo Jiang. "OAT: An Optimized Android Testing Framework Based on Reinforcement Learning." In Theoretical Aspects of Software Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35257-7_3.

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Biewer, Sebastian, Bernd Finkbeiner, Holger Hermanns, Maximilian A. Köhl, Yannik Schnitzer, and Maximilian Schwenger. "RTLola on Board: Testing Real Driving Emissions on your Phone." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72013-1_20.

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AbstractThis paper is about shipping runtime verification to the masses. It presents the crucial technology enabling everyday car owners to monitor the behaviour of their cars in-the-wild. Concretely, we present an Android app that deploys rtlola runtime monitors for the purpose of diagnosing automotive exhaust emissions. For this, it harvests the availability of cheap bluetooth adapters to the On-Board-Diagnostics (obd) ports, which are ubiquitous in cars nowadays. We detail its use in the context of Real Driving Emissions (rde) tests and report on sample runs that helped identify violations of the regulatory framework currently valid in the European Union.
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Pham, Thuy, Nhu Nguyen, Tien Dang, Linh Nguyen, and Binh T. Nguyen. "ATGW: A Machine Learning Framework for Automation Testing in Game Woody." In Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques. IOS Press, 2020. http://dx.doi.org/10.3233/faia200586.

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In this paper, we present a novel approach for building an automation testing platform for a mobile game, namely Woody, by using machine learning algorithms. There are three essential components in our proposed system, including a testing platform, a game state recognition algorithm, and game agents. We implement our testing platform by using the Airtest IDE to have the possibility of testing multiple devices (e.g., tablets, iOS phones, and Android phones). For each screenshot taken on a testing device, we use the Adaptive Gaussian Thresholding algorithm to detect the game board and use the Mean Square Error function to predict the extract status of three blocks given in each turn. After that, we use a reinforcement learning approach for training three different levels of game agents to imitate the playing behaviors of different users in the game. The experimental results show that both game state recognition algorithms and game agents work very well. The results of this paper can give an additional contribution to the research community on using machine learning in the mobile gaming industry.
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Griebe Tobias, Hesenius Marc, Gesthüsen Marc, and Gruhn Volker. "Test Automation for Speech-Based Applications." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-674-3-85.

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Testing is a crucial activity to maintain high quality standards and achieve long-lasting economic success. However, integrating voice control into apps prevents the use of test automation tools. Testing speech-based interaction is still manual work: repetitive, time-consuming, and error-prone. Consequently, a need for specialized software engineering methods exists. We present an approach to test automation for speech-based applications by integrating an audio injection test interface into the Android operating system. Our approach enables developers to integrate voice control into automatically executed user acceptance tests using the Calabash test automation framework.
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Spat Stephan, Höll Bernhard, Petritsch Georg, Schaupp Lukas, Beck Peter, and Pieber Thomas R. "Automatic System Testing of a Decision Support System for Insulin Dosing Using Google Android." In Studies in Health Technology and Informatics. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-240-0-187.

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Hyperglycaemia in hospitalized patients is a common and costly health care problem. The GlucoTab system is a mobile workflow and decision support system, aiming to facilitate efficient and safe glycemic control of non-critically ill patients. Being a medical device, the GlucoTab requires extensive and reproducible testing. A framework for high-volume, reproducible and automated system testing of the GlucoTab system was set up applying several Open Source tools for test automation and system time handling. The REACTION insulin titration protocol was investigated in a paper-based clinical trial (PBCT). In order to validate the GlucoTab system, data from this trial was used for simulation and system tests. In total, 1190 decision support action points were identified and simulated. Four data points (0.3%) resulted in a GlucoTab system error caused by a defective implementation. In 144 data points (12.1%), calculation errors of physicians and nurses in the PBCT were detected. The test framework was able to verify manual calculation of insulin doses and detect relatively many user errors and workflow anomalies in the PBCT data. This shows the high potential of the electronic decision support application to improve safety of implementation of an insulin titration protocol and workflow management system in clinical wards.
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Bato, Pancress Eddie, Norfaradilla Wahid, and Nur Liesa Mohammad Azemi. "Prototype of the Multi-Points IoT-Based Heat and Smoke Monitoring for Open Sites." In Emerging Technologies in Digital Manufacturing and Smart Factories. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0920-9.ch007.

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Public awareness is one of the most neglected causes of fire. To ensure the security of the premises and its clients, the crucial highlights rely upon the fire precautionary measure framework and hardware which ought to accord the standard necessities. This also means that the fire safety precautions also need to be taken in an open site working space. This application with all means is to operate a portable fire alarm and monitoring system built using IoT in order to provide fire safety to open site working space. The prototype is developed using the Arduino IDE, Android Studio, PyCharm, and Command Prompt. Meanwhile, the hardware used during the development of this system are MQ-2 smoke sensor, MPL3115A2 12C temperature sensor, MH Flying Fish infrared sensor, NodeMCU ESP8266, and a buzzer. At the end of this application prototype development, the testing phase has shown that the development of the application is a success and the application was able to conduct its functional requirements.
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Conference papers on the topic "Android Testing Frameworks"

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Merina, Calysta, Nenny Anggraini, and Nashrul Hakiem. "A Comparative Analysis of Test Automation Frameworks Performance for Functional Testing in Android-Based Applications using the Distance to the Ideal Alternative Method." In 2018 Third International Conference on Informatics and Computing (ICIC). IEEE, 2018. http://dx.doi.org/10.1109/iac.2018.8780548.

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Pan, Linjie, Baoquan Cui, Jiwei Yan, Xutong Ma, Jun Yan, and Jian Zhang. "Androlic: an extensible flow, context, object, field, and path-sensitive static analysis framework for Android." In ISSTA '19: 28th ACM SIGSOFT International Symposium on Software Testing and Analysis. ACM, 2019. http://dx.doi.org/10.1145/3293882.3339001.

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Wu, Zhongqian, Shu Liu, Jinzhe Li, and Zengzeng Liao. "Keyword-Driven Testing Framework For Android Applications." In 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013). Atlantis Press, 2013. http://dx.doi.org/10.2991/iccsee.2013.275.

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Prathibhan, C. Mano, A. Malini, N. Venkatesh, and K. Sundarakantham. "An automated testing framework for testing Android mobile applications in the cloud." In 2014 International Conference on Advanced Communication, Control and Computing Technologies (ICACCCT). IEEE, 2014. http://dx.doi.org/10.1109/icaccct.2014.7019292.

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Wen, Hsiang-Lin, Chia-Hui Lin, Tzong-Han Hsieh, and Cheng-Zen Yang. "PATS: A Parallel GUI Testing Framework for Android Applications." In 2015 IEEE 39th Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2015. http://dx.doi.org/10.1109/compsac.2015.80.

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Lu, Peng, Cheng-Zen Yang, and Zhi-Jun You. "DiLAD: A Distributed Layout Testing Framework for Android Applications." In ICCBD '20: 2020 the 3rd International Conference on Computing and Big Data. ACM, 2020. http://dx.doi.org/10.1145/3418688.3418693.

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Jabbarvand, Reyhaneh, and Sam Malek. "µDroid: an energy-aware mutation testing framework for Android." In ESEC/FSE'17: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering. ACM, 2017. http://dx.doi.org/10.1145/3106237.3106244.

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Xue, Lei, Yuxiao Yan, Luyi Yan, et al. "Parema: an unpacking framework for demystifying VM-based Android packers." In ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis. ACM, 2021. http://dx.doi.org/10.1145/3460319.3464839.

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Jha, Ajay Kumar, Deok Yeop Kim, and Woo Jin Lee. "A Framework for Testing Android Apps by Reusing Test Cases." In 2019 IEEE/ACM 6th International Conference on Mobile Software Engineering and Systems (MOBILESoft). IEEE, 2019. http://dx.doi.org/10.1109/mobilesoft.2019.00012.

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Malek, Sam, Naeem Esfahani, Thabet Kacem, Riyadh Mahmood, Nariman Mirzaei, and Angelos Stavrou. "A Framework for Automated Security Testing of Android Applications on the Cloud." In 2012 International Conference on Software Security and Reliability Companion. IEEE, 2012. http://dx.doi.org/10.1109/sere-c.2012.39.

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