Software Measurement by Using Artificial Intelligence

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Questions</td><td class="align_center">Motivations</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">What are the present needs of software automation in the healthcare industry?</td><td class="align_center">Motivation is to identify the needs of software engineering services in the healthcare system</td></tr><tr><td class="align_left">How software engineering helps in the context of E-health, and how can software engineering improve healthcare services?</td><td class="align_center">Motivation is to search out the relationship between E-health and software engineering. Find out the ways of improving the accuracy of healthcare systems</td></tr><tr><td class="align_left">What are the healthcare resources associated with software automation and management systems?</td><td class="align_center">The primary motivation is to recognize the present automation and software engineering contribution to the healthcare industry</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Questions and motivation of research.</div>

Journal of Nanomaterials

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Table 2

Table 2: Software Measurement by Using Artificial Intelligence 