Topology potential-based software requirement case priority sorting method

Abstract

The invention provides a topology potential-based software requirement case priority sorting method, which comprises the following steps of: constructing and analyzing a software requirement case model to acquire a set of dependence between requirement cases; mapping the dependence between requirement cases in the acquired set into nodes and sides of a directed network model to construct a network topology; calculating the topology potential of all nodes in the constructed network topology; sorting all the nodes in the network topology according to the topology potential of the nodes; performing importance-based secondary priority sorting on requirement cases corresponding to the sorted nodes with the same topology potential; and outputting the sorted result in a visual mode. The priority sorting method shields some subjective factors which influence the accuracy of the traditional requirement analysis, contributes to objectively evaluating the priority of the requirement cases, combines the contents of the requirement cases with the dependence between the requirement cases for analysis, and acquires more reasonable sorted result.

Description

technical field [0001] The invention relates to the technical field of software engineering, in particular to a method for prioritizing software requirement use cases. Background technique [0002] Before the 1980s, the focus of software development had always been on coding and design, and little attention had been paid to requirements analysis. With the rapid increase of software system scale, requirements analysis is becoming more and more important in software development, which is directly related to the success of software development [1] . An important part of requirements analysis is the prioritization of requirements (requirements prioritization) [2] , Prioritization can not only assist project managers in judging the priority of candidate requirements implementation, but also help them weigh the requirements of all parties, resolve conflicts, and plan incremental version development progress, so as to reduce development risks as much as possible. [0003] Demand...

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Problems solved by technology

[0006] (3) When the scale of software requirements grows rapidly, due to too much attention to the content of user needs, the scalability of existing methods is not strong [11] , the efficiency of processing demand prioritization will be significantly affected

[0008] Traditional social network analysis generally uses indicators such as degree, betweenness and closeness to evaluate the importance of nodes in the network. [14] , additionally, Google's PageRank [15] It is an algorithm to calculate the relative importance of web pages through link analysis, but the above method is insufficient in describing the interaction between nodes and local influence [16]

For example, the degree, betweenness and proximity indicators do not consider the interaction between nodes; although the PageRank algorithm describes the interaction between nodes through a link-based scoring mechanism, it does not consider the local influence between nodes, and in practice This effect does exist, it is similar to the field of particles in physics

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