A Task Execution Scheme for Dew Computing with State-of-the-Art Smartphones

The computing resources of today’s smartphones are underutilized most of the time. Using these resources could be highly beneficial in edge computing and fog computing contexts, for example, to support urban services for citizens. However, new challenges, especially regarding job scheduling, arise. Smartphones may form ad hoc networks, but individual devices highly differ in computational capabilities and (tolerable) energy usage. We take into account these particularities to validate a task execution scheme that relies on the computing power that clusters of mobile devices could provide. In this paper, we expand the study of several practical heuristics for job scheduling including executi…

An inductive learning perspective on automated generation of feature models from given product specifications

For explicit representation of commonality and variability of a product line, a feature model is mostly used. An open question is how a feature model can be inductively learned in an automated way from a limited number of given product specifications in terms of features.We propose to address this problem through machine learning, more precisely inductive generalization from examples. However, no counter-examples are assumed to exist. Basically, a feature model needs to be complete with respect to all the given example specifications. First results indicate the feasibility of this approach, even for generating hierarchies, but many open challenges remain.

Introduction to the HICSS-54 Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems Minitrack

A Bibliometric Analysis of the HICSS Software Technology Track

The HICSS Software Technology track has a long tradition and many papers have been published as part of its history. Its impact in terms of citations, paper contributions, author share and community impact does not yet seem to have been investigated, though. In particular, software technology has evolved, and as it stands, it is of primary importance for mobile computing, the Internet-of-Things and Cyber-physical Systems. Hence, the development of these topics and the related impact of this track are of particular interest. In this paper, we present a bibliographic analysis as a first step towards such an investigation. We found that the history of the track is indeed noteworthy. Our result…

The Use of Cross-Platform Frameworks for Google Play Store Apps

In this paper, we describe the harnessing and analyses of a large sample (n = 661705) of Android apps and associated metadata available on the Google Play Store. The analyses and scrutiny are in the context of cross-platform mobile development, as we report on the technologies used to develop apps for the Android ecosystem. Specifically, we quantify the use of 13 technical frameworks for cross-platform development, identify their distribution across Google Play Store categories, present an overview of framework usage from 2008 to 2019, app file size (.apk size), and lastly discuss our findings in the context of current industry trends and directions. Our findings indicate that cross-platfor…

A Simulation-based Performance Evaluation of Heuristics for Dew Computing

Introduction to the Minitrack on Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems