Department of Software Engineering

Permanent URI for this communityhttps://repository.nileuniversity.edu.ng/handle/123456789/38

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Start date: 2016End date: 2019

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Now showing 1 - 9 of 9
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    SIDELOBE REDUCTION USING WAVELET NEURAL NETWORK FOR BINARY CODED PULSE COMPRESSION
    (ARPN Journal of Engineering and Applied Sciences, 2016-01-02) Ibrahim Anka Salihu
    Pulse compression technique is a popular technique used for improving waveform in radar systems. Series of undesirable sidelobes usually accompany the technique that may mask small targets or create false targets. This paper proposed a new approach for pulse compression using Feed-forward Wavelet Neural Network (WNN) with one input layer, one output layer and one hidden layer that consists of three neurons. Networks of 13-bit Barker code and 69-bit Barker code were used for the implementation. WNN-based back-propagation (BP) learning algorithm was used in training the networks. These networks used Morlet and sigmoid activation functions in hidden and output layer respectively. The simulation results from the proposed method shows better performance in sidelobe reduction where more than 100 dB output peak sidelobe level (PSL) is achieved, compared to autocorrelation function (ACF). Furthermore, the results show that WNN approach has significant improvement in noise reduction performance and Doppler shift performance compared to Recurrent Neural Network (RNN) and Multi-Layer Perceptron (MLP).
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    Comparative Study of Mobile Applications Testing Techniques for Context Events
    (American Scientific Publisher, 2018-02-02) Ibrahim Anka Salihu
    The increase of mobile devices with rich innovative features has become an enabler for developing mobile applications (mobile apps) that offer users an advance and extremely-localized context-aware content. Mobile apps receive and process events from both internal and external sources due to the changing context to produce the appropriate output. These events need to be tested to ensure that an application behaves correctly. The goal of this study is to present a comparative study of mobile apps testing approaches focusing on context events. We defined the comparison criteria that comprise six key points, events identification, method of analysing mobile apps, the testing technique, classification of context event, validation method and evaluation metrics to enable us answer the research questions. Several approaches from the literature were analysed to evaluate their effectiveness. Results from our study show that the popular approaches offer limited coverage of mobile app context events. This is because they consider only a few selected context events in mobile apps for test case generation. This study identifies the limitations and the possibilities for improving context events coverage for effective testing of mobile apps.
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    A User Readiness Model of Social Media for Learning among Polytechnic Students in Nigeria
    (Path of Science, 2019-06-30) Ibrahim Anka Salihu
    The adoption of Internet resources for learning continues to grow in the world today. Despite the abundant benefit of utilizing social media due to the growth of web 2.0, an internet resource for communication and interaction, its use has not been fully embraced as a teaching tool in Nigeria. Social media is becoming a prominent communication tool and found to be facilitating teaching and learning activities among students. However, the user readiness of social media in learning by the students has been challenging. Despite the wide acceptance of social media (such as Facebook, Twitter, and WhatsApp, e.t.c.) amongst Nigerian polytechnic students, they do not utilize it for academic pursuit. This study examined the Use of Social Media among students in Nigerian Polytechnics. The main objective of this study is to find out the user readiness’ factors that influence the use of social media by the students in Nigerian Polytechnic. The evaluation results show that social media is an indispensable Internet platform among Nigerian Polytechnic students.
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    AMOGA: A Static-Dynamic Model Generation Strategy for Mobile Apps Testing
    (IEEE, 2019-01-31) Ibrahim Anka Salihu
    In the past few years, mobile devices have been increasingly replacing traditional computers, as their capabilities, such as CPU computation, memory, RAM size, and many more, are being enhanced almost to the level of conventional computers. These capabilities are being exploited by mobile apps developers to produce apps that offer more functionalities and optimized performance. To ensure acceptable quality and to meet their specifications (e.g., design), mobile apps need to be tested thoroughly. As the testing process is often tedious, test automation can be the key to alleviating such laborious activities. In the context of the Android-based mobile apps, researchers and practitioners have proposed many approaches to automate the testing process mainly on the creation of the test suite. Although useful, most existing approaches rely on reverse engineering a model of the application under test for test case creation. Often, such approaches exhibit a lack of comprehensiveness, as the application model does not capture the dynamic behavior of the applications extensively due to the incompleteness of reverse engineering approaches. To address this issue, this paper proposes AMOGA, a strategy that uses a hybrid, static-dynamic approach for generating a user interface model from mobile apps for model-based testing. AMOGA implements a novel crawling technique that uses the event list of UI element associated with each event to dynamically exercise the events ordering at the run time to explore the applications’ behavior. An experimental evaluation was performed to assess the effectiveness of our strategy by measuring the code coverage and the fault detection capability through the use of mutation testing concept. The results of the experimental assessment showed that AMOGA represents an alternative approach for model-based testing of mobile apps by generating comprehensive models to improve the coverage of the applications. The strategy proved its effectiveness by achieving high code coverage and mutation score for different applications
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    A Static-dynamic Approach for UI Model Generation for Mobile Applications
    (IEEE, 2018-02-02) Ibrahim Anka Salihu
    Nowadays, smartphone users are increasingly relying on mobile applications to complete most of their daily tasks. To ensure acceptable quality and to meet its specifications, mobile apps need to be tested thoroughly. As testing mobile apps becomes challenging and tedious, test automation can alleviate this process. Model-based testing is an approach for test automation that is popularly used to test mobile applications. In order to benefit from model-based testing, there is a need for technique and tool for automated model generation. Therefore, this paper presents a hybrid approach for automated User Interface (UI) model generation for mobile applications. It performs static analysis of application’s bytecode to extract UI information, followed by a dynamic crawling to systematically explore and reverse engineer a model of the application under test. We then evaluate our approach on several open-source mobile applications. The results showed that our approach can generate a high-quality model from mobile applications.
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    Test Case Generation from Android Mobile Applications Focusing on Context Events
    (Association for Computing Machinery, 2018-02-02) Ibrahim Anka Salihu
    Nowadays mobile apps are developed to address more critical areas of people’s daily computing needs, which bring concern on the applications’ quality. Today’s Mobile apps processed not only the traditional GUI events but also accept and react to constantly varying context events which may have an impact on the application’s behaviour. To build high quality and more reliable applications, there is a need for effective testing techniques to test apps before release. Most of recent testing technique focuses on GUI events only making it difficult to identify other defects in the changes that can be inclined by the context in which an application runs. This paper proposed an approach for testing mobile apps considering the two sets of events: GUI events which we identified through static analysis of bytecode and context events obtained from analysis of manifest.xml file. Results from the experimental evaluation indicated that our approach is effective in identifying and testing context events.
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    Systematic Exploration of Android Apps’ Events for Automated Testing
    (ACM, 2016-11-16) Ibrahim Anka Salihu
    The popularity of mobile devices is ever increasing which led to rapid increase in the development of mobile applications. GUI testing has been an effective means of validating Android apps. However, it still suffers a strong challenge about how to explore event sequence in the GUIs. This paper proposes a hybrid approach for systematic exploration of mobile apps which exploit the capabilities of both static and dynamic approaches while trying to improve app’s state exploration. Our approach is based static analysis on app’s bytecode to extract events supported by an app. The generated events are used to dynamically explore an app at run-time. The experimental results show that our approach can explore significant number of app’s state for the generation of high quality test case.
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    A Hybrid Approach for Reverse Engineering GUI Model from Android Apps for Automated Testing
    (Journal of Telecommunication, Electronic and Computer Engineering, 2017-02-02) Ibrahim Anka Salihu
    Nowadays, smartphone users are increasingly relying on mobile applications to complete most of their daily tasks. As such, mobile applications are becoming more and more complex. Therefore, software testers can no longer rely on manual testing methods to test mobile applications. Automated model-based testing techniques are recently used to test mobile applications. However, the models generated by existing techniques are of insufficient quality. This paper proposed a hybrid technique for reverse engineering graphical user interface (GUI) model from mobile applications. It performs static analysis of application’s bytecode to extract GUI information followed by a dynamic crawling to systematically explore and reverse engineer a model of the application under test. A case study was performed on real-world mobile apps to evaluate the effectiveness of the technique. The results showed that the proposed technique can generate a model with high coverage of mobile apps behaviour.
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    Reverse Engineering Mobile Apps for Model Generation Using a Hybrid Approach
    (Journal of Telecommunication, Electronic and Computer Engineering, 2016-02-02) Ibrahim Anka Salihu
    The popularity of mobile devices is ever increasing which led to rapid increase in the development of mobile applications. Model-Based testing can improve the quality of mobile application but the models are not always available or are of inadequate quality. Reverse engineering approaches are used to automatically generate model from the GUI of mobile applications for model-based testing. This paper proposes a hybrid approach for reverse engineering mobile applications which exploit the capabilities of both static and dynamic approaches while trying to maximize the quality of the generated models. The insight of this approach is to use static analysis on app’s source to identify supported events. The generated events can be used to dynamically explore an app at run-time to generate a state model of the app’s GUI. The preliminary results from our approach indicated that the technique can generate high quality models from android apps.