A Blame-Based Approach to Generating Proposals for Handling Inconsistency in Software Requirements

Author:

Mu Kedian1,Liu Weiru2,Jin Zhi1

Affiliation:

1. Peking University, China

2. Queen’s University Belfast, UK

Abstract

Inconsistency has been considered one of the main classes of defects in software requirements specification. Various logic-based techniques have been proposed to manage inconsistencies in requirements engineering. However, identifying an appropriate proposal for resolving inconsistencies in software requirements is still a challenging problem. This paper proposes a logic-based approach to generating appropriate proposals for handling inconsistency in software requirements. Informally speaking, given an inconsistent requirements specification, the authors identify which requirements should be given priority to be changed for resolving the inconsistency in that specification, by balancing the blame of each requirement for the inconsistency against its value for that requirements specification. The authors follow the viewpoint that minimal inconsistent subsets of a set of formulas are the purest forms of inconsistencies in that set. According to this viewpoint, a potential proposal for resolving inconsistencies can be described by a possible combination of some requirements to be changed that can eliminate minimal inconsistent subsets. Then a method is proposed of evaluating the degree of disputability of each requirement involved in the inconsistency in a requirements specification. Finally, an algorithm is provided of generating appropriate proposals for resolving the inconsistency in a given requirements specification based on the degree of disputability of requirements.

Publisher

IGI Global

Subject

Artificial Intelligence,Management of Technology and Innovation,Information Systems and Management,Organizational Behavior and Human Resource Management,Strategy and Management,Information Systems

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3. Extension and Restriction Principles for the HRT Conjecture;Journal of Fourier Analysis and Applications;2019-01-03

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5. A Characteristic Function Approach to Inconsistency Measures for Knowledge Bases;Lecture Notes in Computer Science;2012

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