FAST ABSTRACT: An Effective Software Reliability Analysis Framework for Weapon System Development in Defense Domain
Dalju Lee, Jongmoon Baik, Hoyeon Ryu, Ju-Hwan Shin
Abstract
Dalju Lee, Jongmoon Baik, Hoyeon Ryu, Ju-Hwan Shin
Abstract
Software reliability has been regarded as one of the most important quality attributes for software intensive systems, especially in defense domain. As most of weapon systems complicated functionalities and controls are implemented by software which is embedded in hardware systems, it became more critical to assure high reliability for software itself. However, many software development organizations in Korea defense domain have had problems in performing reliability engineered processes for developing mission-critical and/or safety-critical weapon systems. In this paper, we propose an effective framework with which software organizations can identify and select metrics associated software reliability, analyze the collected data, appraise software reliability, and develop software reliability prediction/estimation model based on the result of data analyses.
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Software reliability has been regarded as one of the most important quality attributes for software intensive systems, especially in defense domain. As most of weapon systems complicated functionalities and controls are implemented by software which is embedded in hardware systems, it became more critical to assure high reliability for software itself. However, many software development organizations in Korea defense domain have had problems in performing reliability engineered processes for developing mission-critical and/or safety-critical weapon systems. In this paper, we propose an effective framework with which software organizations can identify and select metrics associated software reliability, analyze the collected data, appraise software reliability, and develop software reliability prediction/estimation model based on the result of data analyses.
Key concepts: Avionics software, Software quality, Computer science, Domain (mathematical analysis), Reliability engineering, Software system, Verification and validation, Software development