A novel holistic theory of requirements engineering (RE) quality is proposed that can serve as a coherent theoretical framework for understanding the success or failure of RE processes and artifacts, and it is envisioned that the theory can serve as a coherent theoretical framework for understanding the success or failure of RE processes and artifacts.
Abstract
To move beyond this vague appeal to context, this vision proposes a novel holistic theory of requirements engineering (RE) quality. This theory models how information particles, i.e., discrete pieces of domain knowledge, are transferred between roles and artifacts. Since the RE process is ultimately an information transfer, holistic RE quality depends on the properties of information flow, i.e., how effectively and efficiently information is transferred from sources (like stakeholders) to targets (like developers and testers), uniting both artifact- and process-based perspectives on RE quality. In an exemplary simulation of the theory we illustrate why a high-quality specification gets bypassed in an agile context, thereby demonstrating that a simulation can provide actionable insights into calibrating the RE process to optimize the information flow. Beyond organizational applications, we envision that the theory can serve as a coherent theoretical framework for understanding the success or failure of RE processes and artifacts.
The objective of this research is to obtain feedback from industry experts to understand the challenges related to the employability of future-ready software engineering undergraduate students and employs a qualitative study to gather the views of the experts.
Nor Azliana Akmal Jamaludin, Najjah Salwa Abd Razak, U. F. Abdul Rauf et al.· JOIV: International Journal...· 0 citations
A lifecycle-aware framework that integrates quantitative software quality assessment with Large Language Model (LLM)-based code refinement is proposed and the potential of metric-driven LLM feedback for research software quality improvement is demonstrated while highlighting its inherently multi-objective nature.
Nafis Tanveer Islam, N. Soveizi, Yutong Li et al.· 0 citations
Requirements management is fundamental to complex projects, especially in areas such as engineering, infrastructure, and defense. This article develops an integrative theoretical framework for requirements management in complex projects, grounded in a PRISMA-guided systematic literature review with a qualitative synthesis of the key dimensions of the field. In this review, 136 studies selected from an initial set of 519 records identified across multiple databases were reviewed. Five pillars were found to underpin the proposal: (i) the definition and traceability of requirements, (ii) the mitigation of uncertainties and risks, (iii) team maturity, (iv) digitalization and organizational transformation, and (v) the application of model-based systems engineering (MBSE). A literature review revealed that high-quality requirements reduce errors, improve predictability, and optimize resources, whereas digital approaches and collaborative practices strengthen the adaptive capacity of projects. Thus, in the proposed framework, these dimensions are organized into a hierarchical structure, with an emphasis on the integration of technical, organizational, and digital processes. One limitation is the lack of empirical validation, necessitating future studies on the practical application of the model in real projects, interviews with experts, and the development of operational metrics. This conceptual model is aimed at contributing to the literature and supporting more resilient, automated, and sustainability-oriented practices in complex environments.
Darli Rodrigues Vieira, R. K. Vieira, A. Bravo· Systems· 0 citations
An interdisciplinary network of influencing factors is derived that makes explicit the dependencies between consistency mechanisms, organizational and technical conditions, and key agility outcomes such as responsiveness, transparency, and the realizability of development increments.
Albert Albers, A. Koziolek, Thomas Alexander Voelk et al.· 0 citations
This paper builds on the author’s previous work regarding domain-specific ontologies (DSO) and its importance in the human-factors integration (HFI) space. Explicit term definitions captured by a DSO allow the HFI vocabulary to be mapped into a model-based enterprise architecture (MBEA). Integrating this terminology into the overall MBEA provides insight into the role that individuals play by considering personnel as a critical system component. Often considered external actors, human resources are typically not accounted for in the original solution design. However, MBEA promises to reverse this trend by implementing the Unified Architecture Framework (UAF). The UAF is composed of various domains and their aspects and is meant to graphically illustrate enterprise concepts such as strategy, operations, resources, personnel, and services in a digital environment. Capturing HFI information in a model improves the traceability of person(s) and organizational concerns, responsibilities, and competencies to highlight gaps that must be addressed. The incorporation of the HFI DSO into an MBEA enhances communication between disciplines and provides transparency for stakeholders. This research demonstrates the feasibility of constructing a DSO based on an HFI body of knowledge; leveraging the Web Ontology Language (OWL), the subject-predicate-object (SPO) approach, and the Protégé ontology editor. It also shows that by importing the OWL file into a concept model, understanding HFI terms facilitates MBEA while maintaining personnel as a critical part of a successful organization. This research identifies areas for improvement of the UAF domain-specific modeling language (DSML) to ensure that it adequately addresses HFI concerns by mapping like-terms.
Software organizations often keep frontend, backend, mobile, infrastructure, and quality-assurance engineers in separate units long after product delivery has begun to depend on joint ownership across these domains. The separation protects specialist knowledge, yet it creates delays when one feature moves through several queues before release. This review examines phased transition patterns from technology-siloed structures toward cross-functional engineering teams. It draws on recent software engineering literature on agile teamwork, DevOps structures, continuous delivery, platform teams, scaled autonomy, communities of practice, and human factors in agile projects. The method combines comparative source analysis, conceptual synthesis, typological classification, and analytical generalization. The review identifies structural limits of silo-based delivery, compares transition mechanisms, and develops a practical interpretation of staged ownership transfer. The proposed approach links cross-functional restructuring with federated governance, enabling teams, quality practices embedded in development, and monitoring indicators covering flow, reliability, collaboration, capability, and sustainability.
Michael Rainesh· Universal Library of Innovat...· 0 citations
