79,648 research outputs found
Mapping the systematic literature studies about software ecosystems
There is a need to improve the definition and development of technological ecosystems in order to solve the main problems detected in previous studies. To achieve this goal, it is required to identify and analyse the solutions available in the literature in the field of software engineering applied to ecosystems. The research in software ecosystems is a relatively young research area, but there are already several works that analyse the literature associated. To conduct a new systematic literature review is necessary to ensure that there are no studies that do the same, namely, that do not answer the same research questions. The identification of the need for a review was done through a study focused on systematic literature reviews and mapping studies about software ecosystems. This work aims to describe the mapping conducted as part of that study. It provides a global state of the art of this kind of studies in the area of software ecosystems
Protocol for a SLR on software ecosystems: technical report
Open Source Software (OSS) and Ecosystems (SECO) are two emergent research areas in software engineering. We are interested on the published works that join these two topics, to do it we used a well-known technique called Systematic Literature Review (SLR).Preprin
Ecosistemas Software: Análisis de revisiones sistemáticas de literatura
[EN]Software ecosystems, and in particular, technological ecosystems, allow solving problems related to the management of information and knowledge in all types of organizations. In order to improve the definition and development of this type of technological solutions, first, previous investigations must be identified and analyzed. In this way it is intended to clarify if there are solutions in the literature that allow solving the identified problems. As a preliminary phase to the systematic literature review, an analysis focused on systematic literature studies about software ecosystems has been carried out. This analysis was done through a systematic mapping
QuESo: A quality model for open source software ecosystems
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Open source software has witnessed an exponential growth in the last two decades and it is playing an increasingly important role in many companies and organizations leading to the formation of open source software ecosystems. In this paper we present a quality model that will allow the evaluation of those ecosystems in terms of their relevant quality characteristics such as health or activeness. To design this quality model we started by analysing the quality measures found during the execution of a systematic literature review on open source software ecosystems and, then, we classified and reorganized the set of measures in order to build a solid quality model.Peer ReviewedPostprint (author's final draft
Framing the digital servitization path towards autonomous solutions
Purpose: The present study intends to extend the discussion about transition towards autonomous systems by outlining and reviewing the existing literatures on ecosystems, product-service-software business models and related product-service-software technologies. We extend the existing discussions on transition towards autonomous systems by conducting the review by using a configurational research approach, identifying gaps between the relevant literatures, and suggesting avenues for future studies.
Design/Methodology/Approach: Systematic review
Findings: The study maps the digital servitization literature, generates a typology of five business model configurations, and an integrative digital servitization path towards autonomous solutions.
Originality/Value: We contribute to the discussion about the digital servitization by analysing the interplay between the ecosystem structure, business model configurations, and technological interfaces.©2022 The Advanced Services Group.fi=vertaisarvioitu|en=peerReviewed
Risks, Safety and Security in the Ecosystem of Smart Cities
We have performed a review of systemic risks in smart cities dependent on intelligent and partly autonomous transport systems. Smart cities include concepts such as smart transportation/use of autonomous transportation systems (i.e., autonomous cars, subways, shipping, drones) and improved management of infrastructure (power and water supply). At the same time, this requires safe and resilient infrastructures and need for global collaboration. One challenge is some sort of risk based regulation of emergent vulnerabilities. In this paper we focus on emergent vulnerabilities and discussion of how mitigation can be organized and structured based on emergent and known scenarios cross boundaries. We regard a smart city as a software ecosystem (SEC), defined as a dynamic evolution of systems on top of a common technological platform offering a set of software solutions and services. Software ecosystems are increasingly being used to support critical tasks and operations. As a part of our work we have performed a systematic literature review of safety, security and resilience software ecosystems, in the period 2007–2016. The perspective of software ecosystems has helped to identify and specify patterns of safety, security and resilience on a relevant abstraction level. Significant vulnerabilities and poor awareness of safety, security and resilience has been identified. Key actors that should increase their attention are vendors, regulators, insurance companies and the research community. There is a need to improve private-public partnership and to improve the learning loops between computer emergency teams, security information providers (SIP), regulators and vendors. There is a need to focus more on safety, security and resilience and to establish regulations of responsibilities on the vendors for liabilities
Information Technology Platforms: Definition and Research Directions
The concept of an information technology (IT) related platform is broad and
covers phenomena ranging from the operating system Linux to the Internet. Such
platforms are of increasing importance to innovation and value creation across
many facets of industry and daily life. There is, however, a lack of common
understanding in both research and industry about what is mean by the term
platform when related to IT. This lack of consensus is detrimental to research
and knowledge development. Thus, the aims of this study are to: (i) provide a
sound definition of the IT-platform concept by identifying its distinguishing
dimensions; and (ii) identify important current research directions for the
IT-platform concept. To achieve these aims a systematic literature review was
undertaken with 133 relevant articles taken from major information systems
journals, conferences, and business publications. The study contributes by
providing a sound base for future research into IT-platforms.Comment: Research-in-progress ISBN# 978-0-646-95337-3 Presented at the
Australasian Conference on Information Systems 2015 (arXiv:1605.01032
An analysis of selected cases
Funding Information: This work was supported by Project CESME (Collaborative & Evolvable Smart Manufacturing Ecosystem) and the Portuguese FCT program UIDB/00066/2020. Publisher Copyright: © 2022 The Author(s)The rapid proliferation of renewable energy communities/ecosystems is an indication of their potential contribution to the ongoing energy transition. A common characteristic of these ecosystems is their complex composition, which often involves the interaction of multiple actors. Currently, the notions of "networking", "collaboration", "coordination", and "cooperation", although having different meanings, are often loosely used to describe these interactions, which creates a sense of ambiguity and confusion. To better characterize the nature of interactions in current and emerging ecosystems, this article uses the systematic literature review method to analyse 34 emerging cases. The objective is threefold (a) to study the interactions and engagements between the involved actors, aiming at identifying elements of collaboration. (b) Identify the adopted technological enablers, and (c) ascertain how the composition and functions of these ecosystems compare to virtual power plants. The outcome revealed that the interactions between the members of these ecosystems can be described as cooperation and not necessarily as collaboration, except in a few cases. Regarding technological enablers, a vast panoply of technologies, such as IoT devices, smart meters, intelligent software agents, peer-to-peer networks, distributed ledger systems/blockchain technology (including smart contracts, blockchain as a platform service, and cryptocurrencies) were found. In comparison with virtual power plants, these ecosystems have similar composition, thus, having multiple actors, comprised of decentralized and heterogeneous technologies, and are formed by aggregating various distributed energy resources. They are also supported by ICT and are characterized by the simultaneous flow of information and energy.publishersversionpublishe
Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub
Hosting over 10 million of software projects, GitHub is one of the most
important data sources to study behavior of developers and software projects.
However, with the increase of the size of open source datasets, the potential
threats to mining these datasets have also grown. As the dataset grows, it
becomes gradually unrealistic for human to confirm quality of all samples. Some
studies have investigated this problem and provided solutions to avoid threats
in sample selection, but some of these solutions (e.g., finding development
projects) require human intervention. When the amount of data to be processed
increases, these semi-automatic solutions become less useful since the effort
in need for human intervention is far beyond affordable. To solve this problem,
we investigated the GHTorrent dataset and proposed a method to detect public
development projects. The results show that our method can effectively improve
the sample selection process in two ways: (1) We provide a simple model to
automatically select samples (with 0.827 precision and 0.947 recall); (2) We
also offer a complex model to help researchers carefully screen samples (with
63.2% less effort than manually confirming all samples, and can achieve 0.926
precision and 0.959 recall).Comment: Accepted by the SEKE2018 Conferenc
Crafting a Systematic Literature Review on Open-Source Platforms
This working paper unveils the crafting of a systematic literature review on
open-source platforms. The high-competitive mobile devices market, where
several players such as Apple, Google, Nokia and Microsoft run a platforms- war
with constant shifts in their technological strategies, is gaining increasing
attention from scholars. It matters, then, to review previous literature on
past platforms-wars, such as the ones from the PC and game-console industries,
and assess its implications to the current mobile devices platforms-war. The
paper starts by justifying the purpose and rationale behind this literature
review on open-source platforms. The concepts of open-source software and
computer-based platforms were then discussed both individually and in unison,
in order to clarify the core-concept of 'open-source platform' that guides this
literature review. The detailed design of the employed methodological strategy
is then presented as the central part of this paper. The paper concludes with
preliminary findings organizing previous literature on open-source platforms
for the purpose of guiding future research in this area.Comment: As presented in 10th IFIP WG 2.13 International Conference on Open
Source Systems, OSS 2014, San Jos\'e, Costa Rica, May 6-9, 201
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