Phase analysis of the life cycle of automated information system within the framework of validation works
Abstract
In the conditions of both industrial and digital companies the use of low-quality automated information system can cause significant and irreparable harm. In this regard, the assurance of required quality of programs and data becomes an important factor in the life cycle of the system. The aim of the article is to develop tools of analysis and quality evaluation systems at different stages of the life cycle of the system and to determine the parameters that influence the quality system at all stages of the life cycle. The problem is to ensure quality control and the development of automated system the solution of which requires a comprehensive study. Structure validation of automated systems consists in the achievement and maintaining of compliance lifecycle based on specific system validation plans, reports and applying the relevant operational controls. Validation plans and reports provide a consistent and disciplined approach to the regulatory requirements leading to compliance documentation properly. Implementation of the principles of validation is by clarifying scalability approach, the central role of risk management as to effectively and efficiently reach a very wide range of production system in industrial enterprise. It is shown that the model lifecycle of automated system is a structured hierarchical set of quality assurance and control system. The place of verification and testing at every stage of the life cycle is considered. Verification activities under the stage of validation and verification and spot testing at every stage of the life cycle are determined
Keywords
validation, automation, quality, verification, specification, design
References
- DeMarco,T. (2002). Controlling software projects: Management, measurement and estimation. 279 p.
- Hovorushchenko,T.O. (2013). Research on known models for evaluating software characteristics. Bulletin of Khmelnytskyi National University. Technical Sciences, (1), 117–121.
- IEEE. (2016). IEEE 1012-2016: IEEE Standard for Software Verification and Validation. New York: IEEE. 81 p.
- ISO/IEC 14598. (n.d.). Information technology – Software product evaluation.
- ISO/IEC 25010:2011. (2011). Systems and software engineering – Systems and software Quality Requirements and Evaluation (SQuaRE) – System and software quality models.
- Kharchenko,O.H., Yatsyshyn,V.V., & Bondarchuk,I.O. (2012). Methods of quality assurance and control for web applications at different life cycle stages [Electronic resource]. Vernadsky National Library of Ukraine Portal. Retrieved from http://www.nbuv.gov.ua/portal/...1/34har.pdf.
- Pomorova,O.V., & Hovorushchenko,T.O. (2013). Current issues in software quality assessment. Radioelectronic and Computer Systems, (5), 319–327.
- Reutskyi,Ye.A., Savradon,A.A., & Samchuk,T.O. (2011). Life cycle of technical systems and computer-based measurement experiment [Electronic resource]. National Aviation University Portal. Retrieved from http://www.avia.nau.edu.ua/doc/2011/1/1_21.pdf.
- Skopa,O.O., Volkov,S.L., & Hrabovskyi,O.V. (2013). Quality indicators and life cycles of protected information-measuring systems [Electronic resource]. Bulletin of the East Ukrainian National University named after Volodymyr Dahl, (15)1, 192–198. Retrieved from http://nbuv.gov.ua/UJRN/VSUNU_2013_15(1)_33.
- Volkova,S.O., & Trunov,O.M. (2008). Research of existing approaches to improving the quality of safety-critical software [Electronic resource]. Radioelectronic and Computer Systems, (6), 202–208. Retrieved from http://nbuv.gov.ua/UJRN/recs_2008_6_37