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Model for Quantitative Estimation of Functionality Influence on the Final Value of a Software Product

Authors :
Gregor Molan
Gregor Dolinar
Jovan Bojkovski
Radu Prodan
Andrea Borghesi
Martin Molan
Source :
IEEE Access, Vol 11, Pp 115599-115616 (2023)
Publication Year :
2023
Publisher :
IEEE, 2023.

Abstract

The gap between software development requirements and available resources of software developers continues to widen. This requires changes in the development and organization of software development. This study introduced a quantitative software development management methodology that estimates the relative importance and risk of functionality retention or abundance, which determines the final value of the software product. The final value of a software product is interpreted as a function of its requirements and functionalities, represented as a computational graph (called a software product graph). The software product graph allows the relative importance of functionalities to be estimated by calculating the corresponding partial derivatives of the value function. The risk of not implementing functionality was estimated by reducing the product’s final value. This model was applied to two EU projects, CareHD and vINCI. In vINCI, functionalities with the most significant added value to the application are developed based on the implemented model, and those related to the least value are abandoned. Optimization was not implemented in the CareHD project, and proceeded as initially designed. Consequently, only 71% of the CareHD potential value was achieved. The proposed model enables rational management and organization of software product development with real-time quantitative evaluation of functionalities impacts and, assessment of the risks of omitting them without a significant impact. Quantitative evaluation of the impacts and risks of retention or abundance is possible based on the proposed algorithm, which is the core of the model. This model is a tool for the rational organization and development of software products.

Details

Language :
English
ISSN :
21693536
Volume :
11
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.6c42fa7d2c5f4cf19387b17214c2dcb7
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2023.3325338