Software process improvement : 12th European Conference, EuroSPI 2005, Budapest, Hungary, November 9-11, 2005 : proceedings

Assessing the Impact of System Architecture on the Success of Project Management Methodologies in Software Engineering

The main result is that management methodology has variable significance in different cases of developing three architecture‐based systems in different cases of developing three architecture‐based systems.

Robin (2015). Tacit and Explicit Knowledge in Software Development Projects: Towards a Conceptual Framework for Analysis . eKnow 2015 7th International Conference on Information, Process and Knowledge Management, 49-52

MEASURING THE IMPACT OF GENERATIVE AI ON SOFTWARE TEAM PRODUCTIVITY AND OUTPUT QUALITY IN AGILE ENVIRONMENTS

Generative artificial intelligence (GAI) is becoming more incorporated into software engineering functions like code creation, debugging, requirement analysis, testing, and sharing knowledge. This research looks at how GAI affects software teams in terms of productivity and quality of the output in Agile environments....

A Comprehensive Systematic Literature Review of Agile Methodology

A literature review of Agile methodologies from 2001 to 2025 is presented, systematically examining their evolution, cross-sectoral diffusion, and key adaptations, and identifies critical gaps in the literature and outlines future research directions.

Integration of Lean Management, Agile/Scrum, and PMBOK in Improving The UAT Process (A Case Study of Banking Co.)

The results indicate that eliminating systemic waste could significantly reduce burnout risk and improve long-term team sustainability, and eight improvement operations integrating Lean Management, Agile/Scrum, and PMBOK principles were proposed.

Agile Software Development Challenges: Identification, Validation, and Prioritization Using the Analytic Hierarchy Process

This study identifies Inadequate Architecture, Lack of Standardized Framework, Communication and Coordination, Poor Requirement Verification, and Minimum Documentation as the most significant challenges in Agile development.