LANGUAGE-AGNOSTIC SOURCE CODE RETRIEVAL USING KEYWORD & IDENTIFIER LEXICAL PATTERN
Journal Title: International Journal of Software Engineering and Computer Systems - Year 2018, Vol 4, Issue 1
Abstract
Despite the fact that source code retrieval is a promising mechanism to support software reuse, it suffers an emerging issue along with programming language development. Most of them rely on programming-language-dependent features to extract source code lexicons. Thus, each time a new programming language is developed, such retrieval system should be updated manually to handle that language. Such action may take a considerable amount of time, especially when parsing mechanism of such language is uncommon (e.g. Python parsing mechanism). To handle given issue, this paper proposes a source code retrieval approach which does not rely on programming-languagedependent features. Instead, it relies on Keyword & Identifier lexical pattern which is typically similar across various programming languages. Such pattern is adapted to four components namely tokenization, retrieval model, query expansion, and document enrichment. According to our evaluation, these components are effective to retrieve relevant source codes agnostically, even though the improvement for each component varies.
Authors and Affiliations
Oscar Karnalim
Keywords
Related Articles
- EP ID EP597364
- DOI -
- Views 117
- Downloads 0
SOFTWARE AGENT AND CLOUD COMPUTING: A BRIEF REVIEW
The merging of interests between Cloud applications which necessary require an intelligent software agent with elastic, dynamic, with independent behavior ability and multi-agent systems that need consistent distributed...
INFORMATION SYSTEMS REENGINEERING APPROACH BASED ON THE MODEL OF INFORMATION SYSTEMS DOMAINS
The paper considers current problems of integration of Information Systems (IS), limitations of current methods of IS Reengineering and limitations of existing approaches for Data Integration in Relational Databases. The...
COMPARATIVE BENCHMARKING OF CONSTRAINTS T-WAY TEST GENERATION STRATEGY BASED ON LATE ACCEPTANCE HILL CLIMBING ALGORITHM
This paper describes the new t-way strategy based the Late Acceptance based Hill Climbing algorithm, called LAHC, for constraints t-way test generation. Unlike earlier competing work, LAHC does not require significant tu...
PREDICTING THE EFFECTIVENESS OF WEB INFORMATION SYSTEMS USING NEURAL NETWORKS MODELING: FRAMEWORK & EMPIRICAL TESTING
The information systems (IS) assessment studies have still used the commonly traditional tools such as questionnaires in evaluating the dependent variables and specially effectiveness of systems. Artificial neural network...
REVERSIBLE WATERMARKING BASED ON SORTING PREDICTION ALGORITHM
Reversible watermarking has drawn a lot of interest in recent years. Sachnev et al proposed reversible watermarking algorithm by combining prediction technology, histogram shifting technology and sorting technology, whic...