需求工程中有效的目标导向风险分析

K. Sharma, P. V. Kumar
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引用次数: 4

摘要

在软件工程领域,需求工程因其基于涉众的利益而备受关注。需求工程过程考虑的主要因素是业务需求和用户需求。需求是用来提高软件产品开发的低成本和时间,它应该满足所有的需求。我们开发了一个改进的Tropos目标模型,其中目标的满足和拒绝的证据是根据与目标对应的事件的可能性来计算的。关系是在多个目标和事件之间定义的,它定义了特定目标的重要性。该事件可根据其可能性值被视为风险。所以目标和事件的相互关联值给出了事件对特定目标的影响。为了分析实现某些特定目标的风险,生成了一组候选解决方案。候选解决方案根据其事件的目标的风险亲和性值进行评估。风险亲和值由不同的风险参数集计算得出,风险参数集设置为高、中、低。风险参数清楚地评估了该事件与一组特定目标的关联。此参数减少了之前工作中的限制,例如相同风险值成本的出现。根据所提出的方法,获得了不同的风险成本值。最后,选取成本较低的候选解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient goal oriented risk analysis in requirement engineering
In the field of software engineering, the requirement engineering is getting special attention as it is based on the stakeholder's interests. The main factors that a requirement engineering process considers are business requirements and user requirements. The requirements are used to enhance the development of the software product with low cost and the time it should satisfy all the requirements. We developed a modified Tropos goal model, in which the evidence of satisfaction and denial of the goal is calculated from the likelihood of the events corresponding to the goals. Relations are defined between multiple goals and events, which define the importance of a particular goal. The event may be considered as a risk according to their likelihood value. So the inter relation values of the goals and events gives the impact of that event on the particular goal. In order to analyze the risk in achieving some particular goals, a set of candidate solutions are generated. The candidate solutions are evaluated on the basis of a risk affinitive value of the goals according to their events. The risk affinitive value is calculated from the different set of risk parameters, which is set like high, medium and low. The risk parameters clearly evaluate the affinity of that event to a particular set of goals. This parameter reduces the limitation in the previous work, like occurrence of same cost to risk values. According to the proposed approach distinct cost to risk values are achieved. Finally, the candidate solutions with low cost are selected.
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