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Software Quality Measurement Combining Autonomy Evaluation for Intelligent Early-warning Information System

Current quality assessment approach is not effective enough in quality management and control of intelligent early-warning information systems. To solve this problem, with the support of the standard system of software quality evaluation, this paper proposes a software quality measurement framework for intelligent early-warning information system by comprehensively considering autonomous measurement indexes to reflect the level of software intelligence. To characterize different intelligent tasks, this paper uses triangular fuzzy analytic hierarchy process to determine the index weights from the perspective of users, designers and testers. As a result, software quality of intelligent early-warning information system is improved.