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        <datestamp>2026-10-05T06:44:05Z</datestamp>
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          <dc:title>Software Supply Chains Are Dead: Use-Case-Oriented Regeneration</dc:title>
          <dc:creator>Singla, Tanmay</dc:creator>
          <dc:creator>Davis, James C.</dc:creator>
          <dc:subject>Software supply chain</dc:subject>
          <dc:subject>dependency reuse</dc:subject>
          <dc:subject>code generation</dc:subject>
          <dc:subject>AI coding agents</dc:subject>
          <dc:description>Modern software development relies on an increasingly doubtful premise: that the up-front implementation savings from adopting a dependency outweighs the maintenance costs. Two changes are reshaping the build-vs.-reuse calculus: software supply chain attacks have raised the cost of external reliance, while generative AI has lowered the cost of local implementation. In this vision paper, we discuss use-case-oriented regeneration as a new software sourcing paradigm that shifts the supply chain from external trust to local verification. We evaluate an agentic workflow that synthesizes only the specific slice of dependency functionality that a repository exercises. Our measurements across 180 repository-dependency pairs suggest that this approach is feasible: the replacements preserve 99.8% of repository-observed behavior across baseline validation checks and reduce the exported API surface by 93%. Software sourcing may evolve toward verifiable repository-specific code synthesis, especially when the required functionality is narrow, stable, and well tested.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tanmay Singla and James C. Davis</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 394, 20th International Symposium on Empirical Software Engineering and Measurement (ESEM 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESEM.2026.64</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-280327</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESEM.2026.64</dc:identifier>
          <dc:language>eng</dc:language>
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