The Technology of Software Reliability Virtual Test Based on Software Conventional Failure Data

• Published in: Applied Mechanics and Materials Vol. 462-463; no. Progress in Mechatronics and Information Technology; pp. 1097 - 1101
• Main Authors: Liu, Yang, Ai, Jun, Shang, Jing Wei
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.11.2013
• Subjects: Assessments; Computer programs; Failure; Failure times; Feasibility; Matching; Software; Software reliability; Input Space; Conventional Failure Data; Failure Input; Data Matching
• ISBN: 3037859415; 9783037859414
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.462-463.1097

The technology of software reliability quantitative assessment (SRQA) is based on failure data collected in software reliability test or actual use. However, software reliability testing is a long test cycle and difficult to collect enough failure data, which limits SRQA in the actual project. A large number of software failure found from the software growth test cant be used because the process has nothing to do with the actual use or no record of failure time. In this paper, software reliability virtual testing technology based on software conventional failure data is presented. According to the internal data association between input space of software reliability test and failure data found in conventional software testing, a data matching algorithm is proposed to obtain possible failure time in software reliability testing by matching conventional failure data and the input space. Finally, the imitate engine control software is used as the experimental subject to verify the feasibility and effectiveness of the method.