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Reseach Article

Article:Software Specifications Mining using Transaction Mapping Algorithm

by R. Jeevarathinam, Dr. Antony Selvadoss Thanamani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 5
Year of Publication: 2010
Authors: R. Jeevarathinam, Dr. Antony Selvadoss Thanamani
10.5120/1674-2258

R. Jeevarathinam, Dr. Antony Selvadoss Thanamani . Article:Software Specifications Mining using Transaction Mapping Algorithm. International Journal of Computer Applications. 12, 5 ( December 2010), 26-31. DOI=10.5120/1674-2258

@article{ 10.5120/1674-2258,
author = { R. Jeevarathinam, Dr. Antony Selvadoss Thanamani },
title = { Article:Software Specifications Mining using Transaction Mapping Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 5 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number5/1674-2258/ },
doi = { 10.5120/1674-2258 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:00:54.826072+05:30
%A R. Jeevarathinam
%A Dr. Antony Selvadoss Thanamani
%T Article:Software Specifications Mining using Transaction Mapping Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 5
%P 26-31
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Specification mining is a dynamic analysis process aimed at automatically inferring suggested specifications of a program from its execution traces. In software development it would be preferable if all programs and software projects are developed with clear, precise and documented specifications. But due to hard deadlines and `short-time-to-market' requirement, software products often come with project oriented, incomplete and even without any documented specifications. This situation is further motivated by a phenomenon termed as software evolution. As software evolves the documented specification is often not updated. This might render the original documented specification of little use after several cycles of program evolution. The above factors have contributed to high software maintenance costs. In this paper a novel technique to efficiently mine software specifications, called TM_TraceMiner is proposed which mines software specifications from program execution traces. To address the limitations of Apriori-like methods and FP-growth methods, a mining paradigm has been proposed, which uses Transaction Mapping algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Algorithms Apriori FP-growth mining specifications program execution traces transaction mapping