MODELING THE INFLUENCE OF CORPORATE KNOWLEDGE AND ORGANIZATIONAL CONTEXT OF AN IT COMPANY ON LOCAL QUALITY CRITERIA OF THE SOFTWARE DEVELOPMENT PROCESS
DOI:
https://doi.org/10.20998/2079-0023.2026.01.05Keywords:
software development process, local quality criteria, corporate knowledge, organizational context, SPICE model, analytic hierarchy process, formalization of impactAbstract
The organizational context of an IT company has been parameterized by scale, business model, process maturity level, and resource constraints, and its corporate knowledge has been structurally decomposed into four classes: technological, process, empirical, and organizational, with defined inclusion criteria (formalizability, separation from the individual carrier, reusability). The local quality criteria – structuredness, manageability, predictability, measurability, adaptability, and optimizability – have been defined as evaluation criteria for an individual software development process, aligned with the nine process attributes of the SPICE model. A formalized three-level hierarchical model has been developed using the Analytic Hierarchy Process that establishes quantitative relationships among the quality of an individual software development process, its local criteria, and classes of corporate knowledge with regard to the organizational context of a specific IT company. A computational experiment has been conducted for the TEC.2 process «Stakeholder needs and requirements definition» in the context of a medium-sized outsourcing company, which revealed the dominance of empirical knowledge (43.4% of the global weight) and substantiated its prioritization. Sensitivity analysis confirmed the correct response of the ranking under contextual changes. The scientific novelty consists in establishing a quantitative dependence between classes of corporate knowledge and the quality of an individual software development process through local quality criteria with a linkage to the SPICE model attributes. The practical significance of the approach lies in replacing intuitive IT management decisions with a scientifically grounded mechanism for resource allocation toward the development of specific classes of corporate knowledge for the targeted improvement of the quality of specific software development processes. Further research will address resource limitations and the aggregation of individual process scores into the integral quality of the software development process.
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