Abstract
As AI techniques are involved in increasingly more responsible roles, there is a need for increased reliability and, from a human point of view, trust in such systems. As this need increases, so does the quality of the design and development of these software-based AI systems. To achieve this end, software engineering methodologies are considered in this paper, together with international software engineering standards. Despite the plethora of these methodologies and standards, and the myriad text books associated with software engineering, there is still a huge gap between good practice and current common practice in industry. It is suggested here that, in order to get industry to accept and use these methodologies, it is vital that there are concise, coherent guidelines, and also usable and affordable tools to assist software engineers in their jobs. It is also necessary to re-educate many experienced programmers, and to try to dispel some of the many myths and rumours that surround the use of these techniques. In order to really convince people, however, it is suggested that AI-based “next-generation CASE tools” will be required to aid software engineers.
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