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International Society of Science and Applied Technologies |
| Improving Software Quality by AIOps Under TQM Principles | ||||
| Author | Grigore Albeanu
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| Co-Author(s) | Florin Popențiu-Vlădicescu; Henrik Madsen
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| Abstract | Developing high quality software for business, industry, and entertainment is crucial for any software company wishing for a strong position on the market. With progresses of artificial intelligence and using various tools to assist the software product development, any company making use of Total Quality Management (TQM) principles combined with DevOps, DataOps, MLOps and AIOps, will succeed. This paper will discuss a framework for quality assurance of software products developed by companies working on large data sets to discover patterns using data science methodologies.
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| Keywords | DevSecOps, DataOps, MLOps, AIOps, TQM, ML-based software quality | |||
| Article #: RQD2024-283 | ||||
Proceedings of 29th ISSAT International Conference on Reliability & Quality in Design |