Flota: a programmer assistant for locating faulty changes in AspectJ software evolution

Abstract

As Aspect-Oriented Programming (AOP) wins more and more popularity, there is increasing interest in using aspects to implement crosscutting concerns in object-oriented software. During software evolution, source code editing and testing are interleaved activities to assure code quality. If regression tests fail unexpectedly after a long session of editing, it may be difficult for programmers to find out the failure causes. In this paper, we present Flota, a fault localization tool for AspectJ programs. When a regression test fails unexpectedly after a session of source changes, Flota first decomposes the differences between two program versions into a set of atomic changes, and then identifies a subset of affecting changes which is responsible for the failure. Programmers are allowed to select (and apply) suspected changes to the original program, constructing compliable intermediate versions. Thus, programmers can re-execute the failed test against these intermediate program versions to locate the exact faulty changes by iteratively selecting, applying and narrowing down the set of affecting changes. Flota is implemented on top of the ajc compiler and designed as an eclipse plugin. Our preliminary empirical study shows that Flota can assist programmers effectively to find a small set of faulty changes and provide valuable debugging support.