Model consistency as a heuristic for eventual correctness

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Computer Languages Pub Date : 2023-08-01 DOI:10.1016/j.cola.2023.101223
Istvan David , Hans Vangheluwe , Eugene Syriani
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Abstract

Inconsistencies between stakeholders’ views pose a severe challenge in the engineering of complex systems. The past decades have seen a vast number of sophisticated inconsistency management techniques being developed. These techniques build on the common idea of “managing consistency instead of removing inconsistency”, as put forward by Finkelstein. While it is clear what and how to do about inconsistencies, it is less clear why inconsistency is particularly useful. After all, it is the correctness of the system that should matter, as correctness is the end-user-facing quality of the product. In this paper, we analyze this question by investigating the relationship between (in)consistency and (in)correctness. We formally prove that, contrary to intuition, consistency does not imply correctness. However, consistency is still a good heuristic for eventual correctness. We elaborate on the consequences of this assertion and provide pointers as to how to make use of it in the next generation of inconsistency management techniques.

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将模型一致性作为最终正确性的启发式方法
利益相关者观点的不一致性对复杂系统的工程设计提出了严峻的挑战。在过去的几十年里,开发了大量复杂的不一致管理技术。这些技术建立在Finkelstein提出的“管理一致性而不是消除不一致性”的共同理念之上。虽然很清楚如何处理不一致,但为什么不一致特别有用还不太清楚。毕竟,系统的正确性才是最重要的,因为正确性是面向最终用户的产品质量。本文通过研究一致性和正确性之间的关系来分析这个问题。我们正式证明,与直觉相反,一致性并不意味着正确性。然而,一致性对于最终的正确性仍然是一个很好的启发式方法。我们详细说明了这一断言的后果,并提供了如何在下一代不一致管理技术中使用它的指针。
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来源期刊
Journal of Computer Languages
Journal of Computer Languages Computer Science-Computer Networks and Communications
CiteScore
5.00
自引率
13.60%
发文量
36
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