WordNet: a lexical database for English
Communications of the ACM
Enhancing maintainability of source programs through disabbreviation
Journal of Systems and Software
The concept assignment problem in program understanding
ICSE '93 Proceedings of the 15th international conference on Software Engineering
Making large-scale support vector machine learning practical
Advances in kernel methods
Supporting document and data views of source code
Proceedings of the 2002 ACM symposium on Document engineering
The Role of Concepts in Program Comprehension
IWPC '02 Proceedings of the 10th International Workshop on Program Comprehension
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
An Information Retrieval Approach to Concept Location in Source Code
WCRE '04 Proceedings of the 11th Working Conference on Reverse Engineering
Ontologies and semantics for seamless connectivity
ACM SIGMOD Record
LaTaT: language and text analysis tools
HLT '01 Proceedings of the first international conference on Human language technology research
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Source Code Exploration with Google
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
Using natural language program analysis to locate and understand action-oriented concerns
Proceedings of the 6th international conference on Aspect-oriented software development
Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code
ICPC '07 Proceedings of the 15th IEEE International Conference on Program Comprehension
Extracting Meaning from Abbreviated Identifiers
SCAM '07 Proceedings of the Seventh IEEE International Working Conference on Source Code Analysis and Manipulation
AMAP: automatically mining abbreviation expansions in programs to enhance software maintenance tools
Proceedings of the 2008 international working conference on Mining software repositories
Partial Domain Comprehension in Software Evolution and Maintenance
ICPC '08 Proceedings of the 2008 The 16th IEEE International Conference on Program Comprehension
Automated Concept Location Using Independent Component Analysis
WCRE '08 Proceedings of the 2008 15th Working Conference on Reverse Engineering
Empirical Software Engineering
Extracting Domain Ontologies from Domain Specific APIs
CSMR '08 Proceedings of the 2008 12th European Conference on Software Maintenance and Reengineering
Analyzing the Evolution of the Source Code Vocabulary
CSMR '09 Proceedings of the 2009 European Conference on Software Maintenance and Reengineering
Automatically capturing source code context of NL-queries for software maintenance and reuse
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Natural Language Parsing of Program Element Names for Concept Extraction
ICPC '10 Proceedings of the 2010 IEEE 18th International Conference on Program Comprehension
Normalizing Source Code Vocabulary
WCRE '10 Proceedings of the 2010 17th Working Conference on Reverse Engineering
Improving identifier informativeness using part of speech information
Proceedings of the 8th Working Conference on Mining Software Repositories
Towards the Extraction of Domain Concepts from the Identifiers
WCRE '11 Proceedings of the 2011 18th Working Conference on Reverse Engineering
Mining java class naming conventions
ICSM '11 Proceedings of the 2011 27th IEEE International Conference on Software Maintenance
Expanding identifiers to normalize source code vocabulary
ICSM '11 Proceedings of the 2011 27th IEEE International Conference on Software Maintenance
Evaluating the specificity of text retrieval queries to support software engineering tasks
Proceedings of the 34th International Conference on Software Engineering
Automatic query performance assessment during the retrieval of software artifacts
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
LINSEN: An efficient approach to split identifiers and expand abbreviations
ICSM '12 Proceedings of the 2012 IEEE International Conference on Software Maintenance (ICSM)
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Identifier names play a key role in program understanding and in particular in concept location. Programmers can easily ''parse'' identifiers and understand the intended meaning. This, however, is not trivial for tools that try to exploit the information in the identifiers to support program understanding. To address this problem, we resort to natural language analyzers, which parse tokenized identifier names and provide the syntactic relationships (dependencies) among the terms composing the identifiers. Such relationships are then mapped to semantic relationships. In this study, we have evaluated the use of off-the-shelf and trained natural language analyzers to parse identifier names, extract an ontology and use it to support concept location. In the evaluation, we assessed whether the concepts taken from the ontology can be used to improve the efficiency of queries used in concept location. We have also investigated if the use of different natural language analyzers has an impact on the ontology extracted and the support it provides to concept location. Results show that using the concepts from the ontology significantly improves the efficiency of concept location queries (e.g., in some cases, an improvement of 127% is observed). The results also indicate that the efficiency of concept location queries is not affected by the differences in the ontologies produced by different analyzers.