Software Quality Improvement by Application of a Component-Based Software Meta-Architecture

Skalniak, Tomasz; Rot, Artur; Gryncewicz, Wiesława

doi:10.1007/978-3-030-28374-2_37

Cited by 1 publication

(2 citation statements)

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“…(1) Suppose two experts have fuzzy evaluations on the 12 components in the ticketing software, and the transformed fuzzy values are chosen from the [1,9] integer scales mentioned in Subsection 2.1. Then, the fuzzy judgment matrix H 1 , H 2 given by the two experts is shown as follows:…”

Section: Calculating the Subjective Weights α Of Componentsmentioning

confidence: 99%

“…As software systems grow in scale to meet increasing user demands, the adoption of component-based software development methods becomes more prevalent [8]. A component-based software system comprises a collection of individual components, each with its internal structure and the ability to interact with other components in various combinations to fulfill software functionalities [9]. In complex systems, specific components play a vital role in ensuring the smooth operation of the software system [10,11].…”

Section: Introductionmentioning

confidence: 99%

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The Weight Allocation Method of Component Based on the Mutual Influence

Hu,

Ma,

Gao

2023

Mathematical Problems in Engineering

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Components play a pivotal role in component-based software, with certain components being crucial in realizing the software’s overall functionality. The importance of component is usually characterized using the weight value of component. How to get the weight value is a problem that needs to be studied. Traditionally, the weight value can be denoted by an expert’s evaluation. However, the importance of components can vary depending on their interactions within different combination structures. Therefore, it becomes necessary to consider the mutual influence resulting from component interactions when determining component weights, in addition to expert evaluations. In this study, we first establish an influence value model that captures the interactions between components within various combinations. Subsequently, we propose a comprehensive weight allocation method for components by integrating expert evaluations with the influence values obtained from the component interactions, using an evidence-based information fusion approach. Finally, we validate the effectiveness of our method by implementing a scenic spot ticket purchase system. This approach is more reasonable than the single method and can provide software developers with a more comprehensive analysis of component importance, enabling them to make informed decisions.

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Section: Calculating the Subjective Weights α Of Componentsmentioning

confidence: 99%