Research On Predictive System Software Project Schedule Management Based On Agile Method

With the adjustment of national energy strategy,the new energy industry represented by fuel cell is developing rapidly in China.s enterprises have become industry leaders after more than ten years of development,and their products are supplied to domestic well-known vehicle manufacturers as key components of electric vehicles.However,at this stage,the production process of fuel cells is unstable and the consistency is poor,and there is a gap compared with traditional vehicles.As a result,there may be potential risks that lead to vehicle driving failures after the products are launched on a large scale.To address this situation,in order to improve the reliability of its products in the market,Company S hopes to develop and use a predictive system to predict the health status of fuel cells in the market with the help of technologies related to Telematics,so as to achieve early warning and deal with product risks and avoid failures in vehicle operation.Company S belongs to the vehicle industry and attaches great importance to vehicle safety aspects,adopting the waterfall development process commonly used in the automotive industry in the product development process.However,this development process is difficult to apply to predictive system computer software development projects,mainly due to the following characteristics of predictive systems:First,the predictive system software development cycle is short and needs to be deployed before a certain type of product is launched.Secondly,predictive system software does not have independent software and hardware platforms,and its functions need to be "grafted" on the internal system software platform,which has the problems of resource limitation and insufficient interface transfer capability.Third,predictive projects are the result of corporate goals,and lack a clear demand side and implementation approach.Finally,computer-based software development teams lack knowledge of the main product and are unable to design relevant health and failure models on their own.Based on this,this study adopts an agile model-based software development approach by studying and practicing agile project schedule management components,aiming to achieve the goals of predictive functionality and project schedule control.Before the development of the predictive system software project,an in-depth understanding and knowledge of the software project development process as well as the agile development model is provided through relevant courses,literature review,and visits to research.Based on the analysis of the organization,requirements and other problems that may affect the project schedule in the historical software development process of the company,compile the corresponding solutions.In project schedule management,we use product task lists instead of requirement sheets in conventional projects,and innovate to add balanced scorecard method to control project schedule.In the development process of predictive system software projects,a series of agile methods and tools are used to enhance the schedule controllability in the software development process,thus enhancing the reliability of enterprise products in the market application.