Migration of existing software systems to mobile computing platforms: a systematic mapping study
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Migration of existing software systems to mobile computing platforms: a systematic mapping study Ibrahim ALSEADOON1 , Aakash AHMAD 2
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, Adel ALKHALIL1 , Khalid SULTAN2
1 College of Computer Science and Engineering, University of Ha’il, Ha’il 2440, Saudi Arabia College of Engineering and Applied Sciences, American University of Kuwait, Salmiya 13034, Kuwait
c Higher Education Press 2020
Abstract Mobile computing has fast emerged as a pervasive technology to replace the old computing paradigms with portable computation and context-aware communication. Existing software systems can be migrated (while preserving their data and logic) to mobile computing platforms that support portability, context-sensitivity, and enhanced usability. In recent years, some research and development efforts have focused on a systematic migration of existing software systems to mobile computing platforms. To investigate the research state-of-the-art on the migration of existing software systems to mobile computing platforms. We aim to analyze the progression and impacts of existing research, highlight challenges and solutions that reflect dimensions of emerging and futuristic research. We followed evidence-based software engineering (EBSE) method to conduct a systematic mapping study (SMS) of the existing research that has progressed over more than a decade (25 studies published from 1996–2017). We have derived a taxonomical classification and a holistic mapping of the existing research to investigate its progress, impacts, and potential areas of futuristic research and development. The SMS has identified three types of migration namely Static, Dynamic, and State-based Migration of existing software systems to mobile computing platforms. Migration to mobile computing platforms enables existing software systems to achieve portability, context-sensitivity, and high connectivity. However, mobile systems may face some challenges such as resource poverty, data security, and privacy. The emerging and futuristic research aims to support patterns and tool support to automate the migration process. The results of this SMS can benefit researchers and practitioners–by highlighting challenges, solutions, and tools, etc., –to conceptualize the state-ofthe-art and futuristic trends that support migration of existing software to mobile computing. Keywords evidence-based software engineering, mapping study, software evolution, mobile computing Received May 1, 2018; accepted March 6, 2019 E-mail: [email protected]
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Introduction
Mobile computing has fast emerged as a pervasive technology that is replacing the traditional computing paradigms by empowering its users to exploit portable, context-aware, and interactive computing [1]. A rapid growth and increased adoption of mobile computing technologies can be attributed to the embedded sensors of a mobile device that can utilize the freely available software services to perform a variety of tasks on the go [2]. For example, the device’s embedded hardware sensors (i.e., GPS, Accelerometer) can explo
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