Proceedings of the 30th international conference on Software engineering
Listening to programmers Taxonomies and characteristics of comments in operating system code
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
The commenting practice of open source
Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications
An exploratory study of the evolution of software licensing
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Bug localization using latent Dirichlet allocation
Information and Software Technology
Automatic quality assessment of source code comments: the JavadocMiner
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Automatically identifying changes that impact code-to-design traceability during evolution
Software Quality Control
Finding relevant functions in millions of lines of code
Proceedings of the 33rd International Conference on Software Engineering
Quantifying the similiarities between source code lexicons
Proceedings of the 49th Annual Southeast Regional Conference
Toward an understanding of the relationship between the identifier and comment lexicons
Proceedings of the 49th Annual Southeast Regional Conference
Controversy Corner: On the relationship between comment update practices and Software Bugs
Journal of Systems and Software
Automatically mining software-based, semantically-similar words from comment-code mappings
Proceedings of the 10th Working Conference on Mining Software Repositories
| Hi-index | 0.00 |
Comments are valuable especially for program under- standing and maintenance, but do developers comment their code? To which extent do they add comments or adapt them when they evolve the code? We examine the question whether source code and associated comments are really changed together along the evolutionary history of a soft- ware system. In this paper, we describe an approach to map code and comments to observe their co-evolution over mul- tiple versions. We investigated three open source systems (i.e., ArgoUML, Azureus, and JDT Core) and describe how comments and code co-evolved over time. Some of our find- ings show that: 1) newly added code--despite its growth rate--barely gets commented; 2) class and method decla- rations are commented most frequently but far less, for ex- ample, method calls; and 3) that 97% of comment changes are done in the same revision as the associated source code change.