Article

Article title ON MOBILE SPECIAL AUTOMATED SYSTEMS SOFTWARE RELIABILITY
Authors V. A. Baliberdin, A. M. Belevtsev, O. A. Stepanov
Section SECTION IV. MONITORING AND CONTROL IN TECHNICAL SYSTEMS
Month, Year 03, 2018 @en
Index UDC 681.142
DOI
Abstract Some organizational and technological problems for software reliability in the field of special automated systems are discussed. The attention is paid to the most important factors of software reliability such as maturity and fault tolerance. The availability and recoverability factors are not discussed due to be of no importance for the field under consideration. Some aspects of static and dynamic testing for software maturity and fault tolerance estimating are analyzed. It is pointed out that modern methods for software maturity dynamic testing need using large statistical material for software defaults calculating. Such the material is not available in practical situations. That is why the problem requires a new solution. In the article some original method for software maturity dynamic testing is presented. The method is based on treating positive statistics and makes the testing procedure rather simple. The characteristics under consideration are: – the default probability in a single software testing; – the default mean time during software testing; – the software faultless probability for the predetermined time period; – the number of defaults obtained before the pass testing is gained. The fault tolerance estimation is made by means of a number estimation indicators presented. The software abilities to perform its functions in spite of defaults is maintained by insertion of some kinds of excess. The following kinds of excess are examined: temporal, information and program. The fault tolerance estimation indexes are in concordance with the kinds of excess examined. The static and dynamic testing strategies are used for the fault tolerance estimation indexes to be determined.

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Keywords Software; reliability; defaults; maturity; fault tolerance; testing; suitability level; excess; estimation indicator; data completeness; data relevancy.
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