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java archives Search Engine Using Byte Code as Information Source

Java Archives Search Engine Using Byte Code as Information S...

引用

International Conference on Data and Software Engineering ICODSE

作者： Karnalim, Oscar Mandala, Rila Bandung Inst Technol Sch Elect Engn & Informat Bandung Indonesia

ISBN: (纸本)9781479979967

Information from computer programs can be extracted from its source code, external documentation, and compiled code. Although compiled code is an assured information source which is always exists in published computer programs, it is seldom used by the existing search engines since some reverse engineering tasks are needed. In this research, a search engine for java archives that uses byte code (compiled code for java archive) as its information source is developed. It enables user to search within a collection of java archives without relying with source code and external documentation. Compared with Penta and FindJar [2][7], A novel term extraction process beyond the file and class name is proposed, which includes field name, method name, string literal used in program, program flow weighting, and method expansion. Exclusive tokenization, stopping, and stemming are also implemented to improve effectiveness. Based on evaluation, it has a fairly good effectiveness although it may vary based on terms stored on index. Its effectiveness is higher than FindJar main features reimplementation which indicates that detailed compiled code has positive influences in computer programs search engine. Efficiency depends on how many terms stored on index and how many process used at certain step.

关键词： search engine java archive information extraction compiled code byte code

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Software Keyphrase Extraction with Domain-specific Features

Software Keyphrase Extraction with Domain-specific Features

引用

International Conference on Advanced Computing and Applications (ACOMP)

作者： Karnalim, Oscar Maranatha Christian Univ Fac Informat Technol Bandung Indonesia

ISBN: (纸本)9781509061440

Despite the fact that keyphrase is widely used as a brief summary to represent documents, most keyphrase extraction is only focused on arbitrary text. However, many document types have specific behavior which require particular pre-processing in order to extract keyphrases. In software domain, keyphrases can only be extracted by utilizing reverse-engineering approach and applying several conversion rules. This paper proposes a mechanism to extract software keyphrases with domain-specific features. For our case study, our proposed method is applied to java archive, a distributional form of java binaries. Besides pre-processing and conversion rules, our method also utilizes the combination of supervised and unsupervised keyphrase extraction approach to exploit the benefits of both approaches. Furthermore, in order to extract keyphrase pattern more accurately, software-related features are also incorporated besides standard keyphrase extraction features. These features are software structure, software-related natural language text, and software term association. Based on overall evaluation, our proposed method yields moderate R-precision. Thus, our approach is quite considerable to be applied for extracting software keyphrase.

关键词： keyphrase extraction software domain-specific features java archive

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