What are Developers' Preferences on Platform as a Service? An Empirical Investigation

Giessmann, Andrea; Stanoevska‐Slabeva, Katarina

doi:10.1109/hicss.2013.603

Cited by 11 publications

(18 citation statements)

References 24 publications

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“…Additional theoretical implications arise if we compare our findings to those of research in related fields of IS service provision, namely, IaaS and PaaS and outsourcing. In existing empirical studies addressing the selection factors for IaaS [14] [3] and PaaS [4], customers were aimed at prioritizing customer preferences for the services through the use of conjoint analysis and hence used a pre-defined set of factors for their evaluation. Despite this limitation, we could identify similarities between the customer preferences of IaaS customers (as shown in [14]) and our preliminary results as extracted from the interviews with SaaS customers.…”

Section: Elasticity Availabilitymentioning

confidence: 99%

Which Factors Affect Software-as-a-Service Selection the Most? A Study from the Customer's and the Vendor's Perspective

Polyviou

Pouloudi

Rizou

2014

2014 47th Hawaii International Conference on System Sciences

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Business interest in deploying Software-As-A-Service (SaaS) solutions has been increasing steadily. Despite this, there is limited empirical work addressing SaaS selection factors or attempting to understand the vendors' perception of the customer preferences. In this paper, we present the results of a qualitative study on SaaS selection factors that takes into account both the customers' and the vendors' perspectives. According to our findings, selection factors differ across customer segments. Furthermore, vendors appreciate the selection factors that relate more closely to the technical and branding aspects and seem to underestimate the importance of usability and support aspects that are highlighted by the customers.

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Section: Elasticity Availabilitymentioning

confidence: 99%

Which Factors Affect Software-as-a-Service Selection the Most? A Study from the Customer's and the Vendor's Perspective

Polyviou

Pouloudi

Rizou

2014

2014 47th Hawaii International Conference on System Sciences

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“…The literature indicates a need for a comprehensive framework that is able to span multiple PaaS solutions, leveraging the most suitable services from competing platforms by Cloud consumers (primarily application developers), while enabling multiple PaaS solutions to maintain some differentiation [13] and coexist. For this, interoperability among dissimilar services of PaaS solutions is essential.…”

Section: Directionmentioning

confidence: 99%

A study of the state-of-the-art of PaaS interoperability

Hoare

2016

Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering

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Background: Platform as a Service (PaaS) model of CloudComputing is at an early stage of adoption in spite of its perceived benefits, especially in speeding up the development cycle of Cloud-aware applications. Wider adoption of this service model is impeded by multiple inhibitors, one of which is a lack of interoperability between proprietary services of public PaaS providers. The paper presents the state-of-the-art of PaaS interoperability initiatives from industry and academia. Although these initiatives evidence interest in solving the issue, they are focused either on system infrastructure services or on enabling application portability. PaaS service interoperability has not received much attention yet. Aim: The paper proposes a Semantic-Agent framework as an effective solution for spanning multiple public PaaSs and integrating differentiated application infrastructure services. The proposed interoperability framework will be independent of specific offerings and targeted at the needs of developers. Methodology: This PhD (of which the current study is a subset) encompasses three primary tasks. First, an OWL-S based ontology for semantic annotation of PaaS services will be designed. Second, a multi-agent mechanism will be devised to enable semantic matching and composition of services. Third, a proof-ofconcept solution that is able to span multiple public PaaSs and establish service interoperability will be developed. Contribution: The two main contributions of this research are: i) establishing a comprehensive ontology for PaaS services supporting Cloud application development, and ii) devising a novel framework enabling their interoperability.

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“…For example, the magnitude of network correlation may be a critical criterion for demonstrating the level of reusability (in-app and across-app) of application software. From the developer perspective [17], network metrics can be used that provide understandability, the version of the software, and the extent to which the software has been completed. How much has the software completed in the first version, and what is the situation in terms of upcoming releases from the network point of view and how can the software evolve?…”

Section: C1mentioning

confidence: 99%

Metadata Action Network Model for Cloud Based Development Environment

Aydın

Perdahçı

Safak

et al. 2020

Trends and Innovations in Information Systems and Technologies

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Cloud-based software development solutions (entitled as Platformas-a-Service, Low-Code platforms) have been promoted as a game changing paradigm backed by model-driven architecture and supported by various cloudbased services. With the engagement of a sheer number of platform users (experienced, novel, or citizen developers) these platforms generate invaluable data and that can be considered as user metadata actions. As cloud-based development solutions provide novice users with a new development experience (performing data actions that altogether leads to a successful software app), users often times face with uncertainty about development performance; how good or complete is app development? Thus, the issue addressed in this research is how to measure user performance by using digital trace data generated on the cloud platform from a Network Science perspective. This research proposes a novel approach to leveraging digital trace data on Platform-as-a-Service (PaaS) from a Network Science perspective. The proposed approach considers the importance of digital trace data as metadata actions on PaaS and introduces a network model (so-called Metadata Action Network), which is claimed to be the result of reconstruction of events of developer's actions. We show suitability of the proposed approach to better understanding of real-world digital trace data on PaaS solution and elaborate basic performance analytics on a PaaS solution with research and practical implications.

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What are Developers' Preferences on Platform as a Service? An Empirical Investigation

Cited by 11 publications

References 24 publications

Which Factors Affect Software-as-a-Service Selection the Most? A Study from the Customer's and the Vendor's Perspective

Which Factors Affect Software-as-a-Service Selection the Most? A Study from the Customer's and the Vendor's Perspective

A study of the state-of-the-art of PaaS interoperability

Metadata Action Network Model for Cloud Based Development Environment

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