Evaluating the Accessor Classification Approach to Detect Abstract Data Types

ng the Accessor Classification Approach to Detect Abstract Data Types icle presents an approach to identify abstract data types (ADTs) in source code. For each structured type defined in a system, this approach assigns a role to functions related to this type. Then, using various heuristics, it associates these functions with types to form ADTs. A prototype tool has been implemented to support this approach. It has been applied to three C systems (each between 30-38 Kloc). The ADTs identified by the approach are compared to those identified by software engineers who did not know the proposed approach. In a case study, this approach has been shown to identify, in most cases, ADTs more accurately than four published techniques applied on the same systems. At the same time, the number of false positives produced by the approach is equal to or lower than that of any compared technique. This article also proposes refinements to the evaluation scheme used in earlier articles.

• Type: Conference
• Year: 2000
• Where: IWPC
• Authors: Jean-Francois Girard, Martin Würthner
• Keywords: Abstract Data Types, Accessor Classification Approach, Data Types Icle, IWPC 2000, Software Engineering