CSCI 3364 Software Testing and Security in the World of AI

This course explores modern software testing practices enhanced by Generative AI. Students will learn foundational testing conceptsincluding test design, automation, exploratory testing, and quality engineering while examining how AI tools can support and augment these activities. The course emphasizes critical thinking, ethical and responsible use of AI, and understanding the limitations of AI-generated outputs. Through hands-on activities and applied projects, students will use generative AI to create, evaluate, and improve test cases and automation strategies. By the end of the course, students will be prepared to thoughtfully integrate AI into professional software testing workflows.

Course overview

Department
Computer Science
School
MCAS
Credits
3
Level
Undergraduate
Offered
Periodically

Catalog details

Prerequisites
CSCI2271 and CSCI2254 or CSCI3356 or CSCI3360

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Requirements fulfilled

  • Computer Science B.A.: CSCI 2000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
  • Computer Science B.A.: CSCI 3000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
  • Computer Science B.S.: CSCI 3000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
  • Mathematics B.S.: Natural science, computer science, or economics corequisites (Current University Catalog; students should confirm their catalog year)

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Official evaluation summary

4.50 / 5

Based on 10 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Maira R Marques Samary
    Fall 2026
  • Maira Marques Samary
    Fall 2025 · Official rating 4.70/5

Sections

  • Section 01
    Fall 2026 · Maira R Marques Samary · 245 Beacon Street Room 229 TuTh 09:00AM-10:15AM · Offered