An Empirical Study of Local Database Usage in Android Applications

Lyu, Yingjun; Gui, Jiaping; Wan, Mian; Halfond, William G. J.

doi:10.1109/icsme.2017.75

Cited by 23 publications

(10 citation statements)

References 34 publications

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“…These models use cloud computing technology to increase computation resources and storage space, splitting the apps into modules and migrating to the cloud those that require more resources. In addition to the obvious disadvantages, the excessive use of space can also negatively impact energy consumption [23]. In [24], methods to reduce the energy consumption associated with reading and writing access to storage space are proposed.…”

Section: Energy Consumption (Mwh)mentioning

confidence: 99%

A Study of Non-functional Requirements in Apps for Mobile Devices

Corbalán

Thomas

Delía

et al. 2019

Communications in Computer and Information Science

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Nowadays, no one questions the crucial role of Requirements Engineering in software systems development. Specifically, if apps are generated for execution on mobile devices, certain non-functional requirements become highly relevant. In this article, an experimental study on three non-functional requirements that are essential for the development of native and multi-platform mobile apps is detailed. These requirements are performance, energy consumption and storage space utilization.

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Section: Energy Consumption (Mwh)mentioning

confidence: 99%

A Study of Non-functional Requirements in Apps for Mobile Devices

Corbalán

Thomas

Delía

et al. 2019

Communications in Computer and Information Science

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“…Their approach is limited to keyword search and not range queries. Lyu et al [43] proposed an empirical study that local databases often employ as the on-device IR system to provide users data storage and retrieval. They also analyzed and identified that the most frequently used databases in Android are SQLite, Oracle, and Realm.…”

Section: On-device Databases and Search Enginesmentioning

confidence: 99%

ODSearch: A Fast and Resource Efficient On-device Information Retrieval for Mobile and Wearable Devices

Rong¹,

Rawassizadeh²

2022

Preprint

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Mobile and wearable technologies have promised significant changes to the healthcare industry. Although cutting-edge communication and cloud-based technologies have allowed for these upgrades, their implementation and popularization in low-income countries have been challenging. We propose ODSearch, an On-device Search framework equipped with a natural language interface for mobile and wearable devices. To implement search, ODSearch employs compression and Bloom filter, it provides near real-time search query responses without network dependency. Our experiments were conducted on a mobile phone and smartwatch. We compared ODSearch with current state-of-the-art search mechanisms, and it outperformed them on average by 55 times in execution time 1 , 26 times in energy usage, and 2.3% in memory utilization.

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“…In the present paper, we generalize these experiences into a methodology for interconnecting resources within technology models. [LGWH17]. The evolution of testing library usage has been subject to research conducted in [ZM17].…”

Section: Related Workmentioning

confidence: 99%

Reproducible Construction of Interconnected Technology Models for EMF Code Generation.

Heinz¹,

Härtel²,

Lämmel³

2020

JOT

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Software technologies such as the Eclipse Modeling Framework (EMF ) involve complex usage scenarios that need to be understood or communicated by newcomers, developers, teachers, contributors, and others. Such different stakeholders consult scattered resources that provide textual explanations and code examples that cover different facets of a technology. More specifically, textual explanations can be located in i) developer literature that describes idiomatic usage of a technology, and in ii) scientific literature that explains technology from a formal and abstract perspective. Code examples can be located in iii) demo projects that exemplify intended usage, and in iv) wild projects that provide complex code examples in actual applications. In this paper, we propose annotated megamodels of technology usage as macroscopic summaries, i.e., technology models; these models interconnect the scattered textual explanations and code examples. We present a methodology for the incremental construction of technology models in a reproducible manner. It relies on the systematic reduction of a corpus to 'useful' evidence for each increment. The manual effort of searching for representative links is reduced by dedicated queries. We exemplify the application of the methodology for technology models that summarize EMF code generation.

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An Empirical Study of Local Database Usage in Android Applications

Cited by 23 publications

References 34 publications

A Study of Non-functional Requirements in Apps for Mobile Devices

A Study of Non-functional Requirements in Apps for Mobile Devices

ODSearch: A Fast and Resource Efficient On-device Information Retrieval for Mobile and Wearable Devices

Reproducible Construction of Interconnected Technology Models for EMF Code Generation.

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