Integrating Sustainability Metrics into Project and Portfolio Performance Assessment in Agile Software Development: A Data-Driven Scoring Model

Cristian Fagarasan (), Ciprian Cristea, Maria Cristea, Ovidiu Popa and Adrian Pisla ()
Additional contact information
Cristian Fagarasan: Design Engineering and Robotics Department, Machine Building Faculty, Technical University of Cluj-Napoca, 103-105 Muncii Avenue, 400641 Cluj-Napoca, Romania
Ciprian Cristea: Electrical Machines and Drives Department, Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 26-28 G. Barițiu Street, 400027 Cluj-Napoca, Romania
Maria Cristea: Electrical Machines and Drives Department, Faculty of Electrical Engineering, Technical University of Cluj-Napoca, 26-28 G. Barițiu Street, 400027 Cluj-Napoca, Romania
Ovidiu Popa: Design Engineering and Robotics Department, Machine Building Faculty, Technical University of Cluj-Napoca, 103-105 Muncii Avenue, 400641 Cluj-Napoca, Romania
Adrian Pisla: Design Engineering and Robotics Department, Machine Building Faculty, Technical University of Cluj-Napoca, 103-105 Muncii Avenue, 400641 Cluj-Napoca, Romania

Sustainability, 2023, vol. 15, issue 17, 1-25

Abstract: In today’s rapidly evolving information technology sectors, agile methodologies have been employed by software development organizations to facilitate the large-scale, efficient, and swift development of digital products. Notably, it is a widely accepted principle that an increase in project delivery predictability results from more effective portfolio management. Despite the abundant resources within software engineering that address project management and agile development performance, the measurement of portfolio delivery performance integrating sustainability principles is under-researched. This paper aims to underline a solution to bridge this gap by proposing a data-driven scoring model explicitly designed for software firms to integrate sustainability metrics into their project and portfolio performance assessment. The model is primarily aimed at monitoring and enhancing delivery performance while also reinforcing the sustainability of the software development lifecycle. A thorough literature review was conducted to discern gaps in existing practices, followed by development of a scoring model melded with delivery and sustainability metrics seamlessly. Validated through a case study, the findings reveal that the model influences the performance and sustainability dynamics within software development entities. The insights gained from this study underscore the pivotal role of a harmonized delivery and sustainability metrics system in enhancing the sustainability and efficiency of software development undertakings.

Keywords: software development; project management; agile; lean; portfolio performance; data-driven decision making; sustainability metrics; software development lifecycle (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/17/13139/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/17/13139/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:17:p:13139-:d:1230385

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().