2017•Oriental journal of computer science and technologyOpen access

Research Summary of A Study for the Estimation of Legacy Programs for Effective Re engineering

Harmeet Kaur, Shahanawaj Ahamad, Govinder Verma

Open full text 0 citations

Abstract

The present research estimates the efficacy of a legacy program and the areas of its development. The research also intends to put forward as to what extent reengineering of a legacy program has to be done on the basis of the estimation approach. The study has tried to outline the current issues and trends in reengineering of a legacy program from various perspectives. An all-inclusive literature review reveals that a lot of work has already been piled up with legacy system estimation and the reengineering domain, yet the basic assumptions of Complexity, Quality and Effort have not been worked out collectively. Hence the present research underlines this very maxim and studies the reengineering of a legacy program on the paradigms of Quality, Complexity, and Effort Estimation collectively. The findings put forward an equation and reengineering scale which would be highly compatible with present technology for the feasibility of an effective reengineering.

Open-access reader

About this research paper

What this paper is about

The present research estimates the efficacy of a legacy program and the areas of its development. The research also intends to put forward as to what extent reengineering of a legacy program has to be done on the basis of the estimation approach. The study has tried to outline the current issues and trends in reengineering of a legacy program from various perspectives. An all-inclusive literature review reveals that a lot of work has already been piled up with legacy system estimation and the reengineering domain, yet the basic assumptions of Complexity, Quality and Effort have not been worked out collectively. Hence the present research underlines this very maxim and studies the reengineering of a legacy program on the paradigms of Quality, Complexity, and Effort Estimation collectively. The findings put forward an equation and reengineering scale which would be highly compatible with present technology for the feasibility of an effective reengineering.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The present research estimates the efficacy of a legacy program and the areas of its development. The research also intends to put forward as to what extent reengineering of a legacy program has to be done on the basis of the estimation approach. The study has tried to outline the current issues and trends in reengineering of a legacy program from various perspectives. An all-inclusive literature review reveals that a lot of work has already been piled up with legacy system estimation and the reengineering domain, yet the basic assumptions of Complexity, Quality and Effort have not been worked out collectively. Hence the present research underlines this very maxim and studies the reengineering of a legacy program on the paradigms of Quality, Complexity, and Effort Estimation collectively. The findings put forward an equation and reengineering scale which would be highly compatible with present technology for the feasibility of an effective reengineering.

Key concepts: Business process reengineering, Computer science, Legacy system, Estimation, Domain (mathematical analysis), Quality (philosophy), Process management, Management science

Related papers

Back to paper searchBrowse research topicsOriginal source
Research Summary of A Study for the Estimation of Legacy Programs for Effective Re engineering — Research Paper | ScholarLens