A SURVEY ON AN EFFECTIVE TECHNIQUE TO IMPROVE THE ACCURACY OF REQUIREMENT TRACEABILITY LINKS

Authors

  • Mr. Bhairavnath B. Jundale Assistant Professor Department of Computer Science & Engineering FTC COE Sangola
  • Anuradha Waghmode Assistant Professor Department of Computer Science & Engineering FTC COE Sangola
  • Mr. Vinayak M. Sale Assistant Professor Department of Computer Science & EngineeringSVERI’s COE Pandharpur

Abstract

Traceability is the only means to ensure that the source code of a system is consistent with its requirements and that all and only the specified requirements have been implemented by developers. During software maintenance and evolution, requirement traceability links become obsolete because developers do not/cannot devote effort to update them. Yet, recovering these traceability links later is a daunting and costly task for developers. Consequently, the literature has proposed methods, techniques, and tools to recover these traceability links semi-automatically or automatically. Among the proposed techniques, the literature showed that information retrieval (IR) techniques can automatically recover traceability links between free-text requirements and source code. However, IR techniques lack accuracy (precision and recall). In the dissertation, the mining software repositories and combining mined results with IR techniques can improve the accuracy (precision and recall) of IR techniques and propose Trustrace, a trust-based traceability recovery approach.

Published

2022-07-03

Issue

2022: NCRTSAE -JUNE

Section

Articles

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