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SOFTWARE QUALITY ASSURANCE AS A SERVICE: THE AUDITSOFT DIGITAL PLATFORM APPROACH
27.02.2026 08:58
[1. Information systems and technologies]
Author: Ihor Liutak, doctor of technical sciences, professor, Department of software engineering Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk
The rapid growth of software-intensive systems has significantly increased the complexity of ensuring product quality across the entire software lifecycle. Modern information systems operate in distributed environments, integrate heterogeneous services, and must comply with strict reliability, security, and maintainability requirements. At the same time, organizations are expected to align their development processes with internationally recognized standards such as ISO/IEC 25010 and CMMI-DEV. However, despite the availability of these standards, their practical implementation often remains fragmented and disconnected from everyday development workflows. Traditional software quality assurance practices are frequently document-driven and reactive in nature. Requirements management, compliance assessment, risk analysis, and reporting are commonly performed using separate tools, spreadsheets, or static documentation repositories. This fragmentation reduces traceability, increases manual effort, and limits the ability to perform continuous and quantitative evaluation of software quality. As a result, organizations struggle to transform methodological guidelines into operational digital processes.
The concept of Software Quality Assurance as a Service represents a paradigm shift from isolated quality control activities toward an integrated, service-oriented digital ecosystem. In this approach, quality assurance is embedded directly into the lifecycle management infrastructure and supported by automated evaluation mechanisms, structured data models, and analytics. Such a model enables continuous monitoring of compliance, systematic aggregation of assessment results, and proactive identification of risks, rather than post-factum detection of defects. In response to these challenges, the AuditSoft digital platform proposes an integrated architectural solution that unifies project management, requirements traceability, standards-based compliance auditing, intelligent recommendation mechanisms, and centralized reporting within a single information environment [1]. By conceptualizing quality assurance as a structured digital service, AuditSoft aims to provide measurable, scalable, and analytically grounded support for organizations seeking to improve process maturity and software product quality in a sustainable manner.
The service quality assurance baseline in AuditSoft is defined as a structured and operational digital foundation that supports systematic assessment of both software products and development processes. It establishes a unified reference framework integrating standardized quality characteristics, measurable compliance indicators, and formalized evaluation procedures within a single lifecycle-oriented environment. This baseline serves as the methodological core of the platform and ensures consistency in quality governance across projects. In AuditSoft, the baseline is constructed through the formal integration of ISO/IEC 25010 quality characteristics and CMMI-DEV process maturity practices. These standards are represented as hierarchical digital structures composed of characteristics, sub-characteristics, criteria, and measurable indicators. Each requirement defined within a project is mapped to relevant quality attributes and process indicators, creating a structured compliance matrix. This enables systematic alignment between declared project objectives and standardized quality expectations [2]. The baseline model incorporates quantitative evaluation mechanisms. For each assessment instance, the system calculates measurable indicators such as requirements coverage ratio, level of compliance per quality characteristic, nonconformity severity distribution, and aggregated quality scores. These metrics establish a digital reference state against which project evolution can be continuously monitored. The aggregation mechanism allows the determination of an integral quality index representing the overall compliance level of the project within the defined scope.
An essential element of the baseline is traceability. AuditSoft ensures that every requirement is linked to standard criteria, evaluation results, detected nonconformities, and corrective recommendations. This structured linkage forms a continuous quality chain, allowing stakeholders to identify the origin of deviations and evaluate their impact on project quality. The baseline therefore functions not only as an assessment template but as a dynamic compliance infrastructure embedded into the system architecture. The service-oriented nature of the baseline is expressed through its configurability and scalability. Organizations may activate selected standards, define customized evaluation scopes, and adapt weighting factors for specific quality characteristics. The baseline can evolve over time, incorporating new standards, updated criteria, or organization-specific quality policies without disrupting the core logical model of the platform. Within AuditSoft, the service quality assurance baseline operates as a digitally operationalized framework that integrates standards, metrics, traceability, and analytics into a coherent service-oriented quality assurance environment. It transforms abstract quality models into measurable, continuously monitored lifecycle components and supports evidence-based managerial decision-making.
The implemented service quality assurance baseline in AuditSoft provides a structured and measurable foundation for continuous compliance assessment throughout the software lifecycle. Its integration of standardized criteria, traceability mechanisms, and quantitative indicators enables systematic quality governance and supports informed managerial decision-making.
References:
1. Liutak, I. 2025. AuditSoft (v1.0): A methodological auditing tool for software engineering practices in the energy sector. Retrieved from https://audit-9f24b.web.app/page/home.
2. Bernardo S. et al. Software quality assurance as a service: Encompassing quality assessment of software and services // Future Generation Computer Systems. 2024. DOI: https://doi.org/10.1016/j.future.2024.03.024.
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