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ISSN 2063-5346
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STUDY ON SOFTWARE NETWORK CONTROLLABILITY USING THE SOURCE-DRIVEN MODEL

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Dr. Anand Singh Rajawat, Prof. Namrata D. Ghuse, Mr. Mahesh Vijayrao Korde
» doi: 10.31838/ecb/2023.12.s3.142

Abstract

With software evolution, software system complexity has risen, which has an impact on the stability of software structure. The majority of the measurement techniques currently in use concentrate on the analysis of network topology's macro-characteristics, but they lack sufficient depth and breadth to explore the nature of the complexity of the software structure. To address this issue, the complex network control theory was applied to the investigation of software network controllability. Initially, based on system control theory, the Source- Driver (SD) model was created, and the driver node sets were constructed using the minimal input theorem during the management of the software network architecture; Due to the non-uniqueness of the driver node sets, the relationship between the degree and centre degree as well as the relationship between the in-degree and the out-degree of the software network architecture were then further examined; The four indicators' values in the software system were then compared. The action on control nodes and driver nodes is not random, the controllability of the driver nodes is closely related to the in-degree, and when selecting the driver node sets, the network topology characteristics should be taken into full consideration. Experimental results show that the driver node sets in software networks are primarily composed of nodes with low degree values, but this does not mean that the nodes whose in-degree values and out-degree values are also low. The findings have significant guiding implications for the management, upkeep, and redesign of software architecture.

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