Source Code Analysis: A Road Map
FOSE '07 2007 Future of Software Engineering
Using structural and textual information to capture feature coupling in object-oriented software
Empirical Software Engineering
Categorization of concerns: a categorical program comprehension model
Proceedings of the 3rd ACM SIGPLAN workshop on Evaluation and usability of programming languages and tools
| Hi-index | 0.00 |
Programming is modeling the reality. Most of the times, the mapping between source code and the real world concepts is captured implicitly in the names of identifiers. Making these mappings explicit enables us to regard programs from a conceptual perspective and thereby to detect semantic defects such as (logical) redundancies in the implementation of concepts and improper naming of program entities. We present real world examples of these problems found in the Java standard library and establish a formal framework that allows their concise classification. Based on this framework, we present our method for recovering the mappings between the code and the real world concepts expressed as ontologies. These explicit mappings enable semi-automatic identification of the discussed defect classes.