In　today＇s　digital　era,　when　software　applications　are　omnipresent　across　multiple　areas,　software　credibility　is　critical.　Based　on　Yu　et　al.＇s　model,　this　paper　extends　this　model　and　proposes　a　software　credibility　framework　with　accumulation　and　decision-making　components　for　patient　portals.　A　basic　patient　portal　prototype　was　used　to　test　the　framework,　and　three　test　cases　were　generated　to　demonstrate　the　various　phases　of　the　decision-making　component.　The　results　show　that　the　framework　effectively　monitored　malicious　user　activity　and　can　be　further　integrated　into　real-time　applications　such　as　banking　apps.　The　suggested　framework　has　the　potential　to　significantly　increase　software　credibility　and　dependability,　and　more　work　can　be　done　to　extend　the　framework　by　employing　Artificial　Intelligence　and　Machine　Learning　to　automatically　learn　and　assign　user　behavioral　states　over　time.　©　2023　IEEE.