Fuzzy based Schematic Component Selection Decision Search with OPAM-Ocaml Engine

摘要

Background: With an exponential increase in software online as well as offline, througheach passing day, the task of digging out precise and relevant software components has become theneed of the hour. There is no dearth of techniques used for the retrieval of software component fromthe available online and offline repositories in the conceptual as well as the empirical literature.However each of these techniques has its own set of limitations and suitability.Objective: The proposed technique gives concrete decision using schematic based search that givesbetter result and higher precision and recall values.Methods: In this paper, a component decision and retrieval engine called SR-SCRS (Schematic andRefinement based Software Component Retrieval System) has been presented using OPAM. OPAMis a github repository containing software components (packages), designed by OcamlPro. Thissearch engine employs two retrieval techniques for a robust decision vis-o-vis Schematic-basedsearch with fuzzy logic and Refinement-based search. The Schematic based search is based onmatching the attribute values and the threshold of those values as given by the user. Thereafter theresults are optimized to achieve the level of relevance using fuzzy logic. Refinement based searchworks on one particular attribute value. The experiments have been conducted and validated onOPAM dataset.Results: Precisely, the average precision of Schematic based search and Refinement based search is60% and 27.86% which shows robust results.Conclusion: Hence, the performance and efficiency of the proposed work has been evaluated andcompared with the other retrieval technique.