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DTSTART;TZID=America/Chicago:20251120T080000
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UID:submissions.supercomputing.org_SC25_sess533_post251@linklings.com
SUMMARY:Process-Based Predictors of Vulnerability Reintroduction
DESCRIPTION:Samiha Shimmi (Northern Illinois University), Nicholas Synovic
  (Loyola University Chicago), Mona Rahimi (Northern Illinois University), 
 and George Thiruvathukal (Loyola University Chicago)\n\nThere is growing i
 nterest in securing scientific software, which underpins research results 
 and often transitions into commercial systems. While source code metrics p
 rovide useful indicators of vulnerabilities, software engineering process 
 (SEP) metrics can uncover patterns that lead to their introduction. Few st
 udies have explored whether SEP metrics can reveal risky development activ
 ities over time—insights that are essential for predicting vulnerabilities
 .\n\nThis work highlights the critical role of SEP metrics in understandin
 g and mitigating vulnerability reintroduction. We move beyond file-level p
 rediction and analyze security fixes at the commit level, focusing on sequ
 ences of changes where vulnerabilities evolve and re-emerge. Our approach 
 emphasizes that reintroduction is rarely the result of one isolated action
 , but emerges from cumulative development activities and socio-technical c
 onditions.\n\nTag: Research & ACM SRC Posters\n\nRegistration Category: Te
 chnical Program Reg Pass\n\nSession Chairs: Kento Sato (RIKEN Center for C
 omputational Science (R-CCS)); Chris Schlipalius (Pawsey Supercomputing Re
 search Centre; Commonwealth Scientific and Industrial Research Organisatio
 n (CSIRO), Australia); and Anja Gerbes (Georg-August-Universität Göttingen
 )\n\n
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