A Preliminary User Interface for Software Vendor Analysis and Selection Tool

Part 5: Demos International audience In software ecosystems, the decision-making process for vendor selection remains a significant challenge, often worsened by the lack of effective tools that leverage visualization to aid in these decisions. This study aims to bridge this gap by prototyping a tool...

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Bibliographic Details
Main Authors: Müller, Tormod, Mork, Rani, Anshul, Mishra, Deepti
Other Authors: Norwegian University of Science and Technology Gjøvik (NTNU), Norwegian University of Science and Technology (NTNU), Marta Kristín Lárusdóttir, Bilal Naqvi, Regina Bernhaupt, Carmelo Ardito, Stefan Sauer
Format: Conference Object
Language:English
Published: CCSD 2024
Subjects:
Software Ecosystem
Decision-making
User interface
Tool
Software Vendor Selection
Visualization
[INFO]Computer Science [cs]
Iceland
Online Access:https://inria.hal.science/hal-05014194
https://inria.hal.science/hal-05014194v1/document
https://inria.hal.science/hal-05014194v1/file/560945_1_En_20_Chapter.pdf
https://doi.org/10.1007/978-3-031-64576-1_20
Description
Summary:Part 5: Demos International audience In software ecosystems, the decision-making process for vendor selection remains a significant challenge, often worsened by the lack of effective tools that leverage visualization to aid in these decisions. This study aims to bridge this gap by prototyping a tool and hence proposing a user interface for the same, based on a software vendor selection framework, enhancing decision-making through intuitive visualizations and a user-friendly interface. Our research methodology combined a semi-structured literature review, preliminary user interface development, and expert feedback to ensure the tool’s practicality and effectiveness. The prototype testing of the user interface design, informed by expert feedback, indicates a positive impact on decision-making processes, demonstrating the prototype’s ability to streamline vendor analysis and selection. The proposed tool significantly contributes to reducing the complexity and subjectivity of vendor selection, offering a more structured and data-driven approach.

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