Much research has been conducted on automated testing tools. Recently, Agitar Technologies developed Agitator™, which combines input generation and invariant detection into 'software agitation'. Agitator analyzes code to automatically detect and report likely program invariants. However, Agitator only operates on Java, a statically typed language. I apply Agitator's techniques to Python, a dynamically typed language, in a tool called PyStick. PyStick implements some alternative techniques to Agitator due to the differences between Java and Python. Since PyStick is a proof of concept, it does not cover the entirety of Python. It has nonetheless generated very promising results, and demonstrates the power and viability of software agitation on a dynamically typed language.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Noto-Moniz, Austin

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042512-235010

Advisor

• Pollice, Gary F.

Year

• 2012

Sponsor

• Gary Pollice

Date created

• 2012-04-25

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright