Using GQIM Model and Gompertz Model to Measure, Analyze, and Optimize the Whole Process of Software Project

Li Zhao, Yongchun Wu, Xiujuan Wang, Meihong Zhu and Shangce Gao

Mathematical Problems in Engineering, 2023, vol. 2023, 1-15

Abstract: This paper proposes a novel concept of using defect management technology to measure, predict, and optimize the management of the entire software project cycle. It first utilizes the software defect measurement GQIM model and prediction Gompertz model to track and quantify the defects of the entire project cycle. Then, the specific optimization strategy is proposed to manage the core processes of the project management, including project scope management, project time management, project quality management, project human resource management, project communication management, and project risk management. This study solves the quantification problems that are common in the current software project management process, such as complex testing procedures, high defect repair costs, and high communication costs. Furthermore, it contributes to promote the overall level of project management in the software industry. Taking the SDLM’s electronic banking software project management as an example, the various management quality indicators before and after the optimization of the project management process strongly indicate that using software defect management technology to optimize the software project management process is feasible and effective.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:2032876

DOI: 10.1155/2023/2032876

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