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Supporting Traditional Manual Software Process With Aiware

IMPACT SIGNAL70/100
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Information from the abstract

The widespread use of artificial intelligence (AI) has been applied in many areas of application, including software engineering. In this practice-oriented study, AIware is adopted to build a traditional human-directed software model to eliminate manual software engineering development effort. The AI tools simplify and facilitate straightforward development processes, ranging from requirements specification, design, and testing. However, this paper incorporates human intervention to fine tune some important decisions during the development process because the AI tools may produce incomplete results. The effort spent on requirements creation by the proposed method is slightly reduced as the software size becomes larger. Future work is to enhance effective testing methods using innovative AI tools on a larger software development scale.

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Why this record is monitored

This record has an Impact Signal of 70/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.

Related topics: Software Engineering Techniques and Practices · Software Testing and Debugging Techniques · Software Engineering Research

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Thai researcher and institutional participation

Nalinee Sophatsathit · Suan Sunandha Rajabhat University

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Data limitations

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