Sustaining Software Quality in the Era of AI-Assisted Development
Glaucia Melo, Jessica Pourleyli, Genevieve Caumartin, Corey Yang-Smith, Diego Costa, and Ahmad Abdellatif
Date:
90-minute conference tutorial (accepted) at CASCON 2026, Toronto, Canada
Accepted as a 90-minute tutorial at CASCON 2026 in Toronto, Canada (November 2026), co-authored with Glaucia Melo, Jessica Pourleyli, Genevieve Caumartin, Diego Costa, and Ahmad Abdellatif.
Large language models now write a substantial share of new code, but the open questions for software engineering research have moved past generation. This lecture-based tutorial gives researchers and students a vendor-neutral introduction to agents and explainable AI (XAI) in software engineering, with an expanded focus on bias and fairness. It follows four questions: is LLM-generated code maintainable, reliable, and secure; how can agents localize and fix what we find; will a developer trust the fix; and is our generated code itself unbiased? No hands-on work or laptops are required.
Recommended citation: Glaucia Melo, Jessica Pourleyli, Genevieve Caumartin, Corey Yang-Smith, Diego Costa, and Ahmad Abdellatif. "Sustaining Software Quality in the Era of AI-Assisted Development." 90-minute conference tutorial, CASCON 2026, Toronto, Canada, November 2026 (accepted).
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