Related papers: Pricing4SaaS: Towards a pricing model to drive the operation of SaaS

Pricing4SaaS: Towards a pricing model to drive the operation of SaaS

URL: http://arxiv.org/abs/2404.00311v1
Date: Sat, 30 Mar 2024 10:23:55 GMT
Title: Pricing4SaaS: Towards a pricing model to drive the operation of SaaS
Authors: Alejandro García-Fernández, José Antonio Parejo, Antonio Ruiz-Cortés,
Abstract summary: This paper introduces a generalized specification model for the pricing structures of systems that apply the Software as a Service (SaaS) licensing model. With its proven expressiveness, Pricing4SaaS aims to become the cornerstone of pricing-driven IS engineering.
Score: 45.98329715499677
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: The Software as a Service (SaaS) model is a distribution and licensing model that leverages pricing structures and subscriptions to profit. The utilization of such structures allows Information Systems (IS) to meet a diverse range of client needs, while offering improved flexibility and scalability. However, they increase the complexity of variability management, as pricings are influenced by business factors, like strategic decisions, market trends or technological advancements. In pursuit of realizing the vision of pricing-driven IS engineering, this paper introduces Pricing4SaaS as a first step, a generalized specification model for the pricing structures of systems that apply the Software as a Service (SaaS) licensing model. With its proven expressiveness, demonstrated through the representation of 16 distinct popular SaaS systems, Pricing4SaaS aims to become the cornerstone of pricing-driven IS engineering.

Related papers

Leveraging Microservices Architecture for Dynamic Pricing in the Travel Industry: Algorithms, Scalability, and Impact on Revenue and Customer Satisfaction [1.03590082373586]
This research investigates the implementation of a real-time,-oriented dynamic pricing system for the travel sector. The system is designed to address factors such as demand, competitor pricing, and other external circumstances in real-time. Both controlled simulation and real-life application showed a respectable gain of 22% in revenue generation and a 17% improvement in pricing response time.
arXiv Detail & Related papers (2024-11-03T17:24:02Z)
Racing the Market: An Industry Support Analysis for Pricing-Driven DevOps in SaaS [42.8610435437513]
The paradigm has popularized the usage of pricings, allowing providers to offer customers a wide range of subscription possibilities. This creates a vast configuration space for users, enabling them to choose the features and support guarantees that best suit their needs. Regardless of the reasons why changes in these pricings are made, the frequency of changes within the elements of pricings continues to increase.
arXiv Detail & Related papers (2024-09-23T15:59:21Z)
A Primal-Dual Online Learning Approach for Dynamic Pricing of Sequentially Displayed Complementary Items under Sale Constraints [54.46126953873298]
We address the problem of dynamically pricing complementary items that are sequentially displayed to customers. Coherent pricing policies for complementary items are essential because optimizing the pricing of each item individually is ineffective. We empirically evaluate our approach using synthetic settings randomly generated from real-world data, and compare its performance in terms of constraints violation and regret.
arXiv Detail & Related papers (2024-07-08T09:55:31Z)
Pricing-driven Development and Operation of SaaS : Challenges and Opportunities [45.98329715499677]
Using PetClinic as a case study, we explore the implications of a Pricing-driven Development and Operation approach of systems. Our discussion aims to provide strategic insights for the community to navigate the complexities of this integrated approach, fostering a better alignment between business models and technological capabilities for effective cloud-based services.
arXiv Detail & Related papers (2024-03-20T22:11:58Z)
Pricing4SaaS: a suite of software libraries for pricing-driven feature toggling [42.8610435437513]
This paper introduces a novel suite of software libraries named Pricing4SaaS. It is designed to facilitate the implementation of pricing-driven feature toggles in both the front-end and back-end of systems. We present a case study based on the popular Spring PetClinic project to illustrate how the suite can be leveraged to optimize developer productivity.
arXiv Detail & Related papers (2024-03-20T22:08:41Z)
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models [10.36010442870647]
Major advances in Machine Learning (ML) and Artificial Intelligence (AI) increasingly take the form of developing and releasing general-purpose models. This paper offers a model of the fine-tuning process where a Generalist brings the technological product to a certain level of performance, and one or more Domain-specialist(s) adapts it for use in a particular domain. Both entities are profit-seeking and incur costs when they invest in the technology, and they must reach a bargaining agreement on how to share the revenue for the technology to reach the market.
arXiv Detail & Related papers (2023-08-08T17:01:42Z)
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model [50.06663781566795]
We consider a dynamic model with the consumers' preferences as well as price sensitivity varying over time. We measure the performance of a dynamic pricing policy via regret, which is the expected revenue loss compared to a clairvoyant that knows the sequence of model parameters in advance. Our regret analysis results not only demonstrate optimality of the proposed policy but also show that for policy planning it is essential to incorporate available structural information.
arXiv Detail & Related papers (2023-03-28T00:23:23Z)

This list is automatically generated from the titles and abstracts of the papers in this site.